Trending December 2023 # Best Tech Companies Leveraging Big Data You Must Know In 2023 # Suggested January 2024 # Top 15 Popular

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Big data is flourishing in the market with its data management and insights from large datasets

Big data is the hottest technical world in the global tech market in recent times. Smart devices and cutting-edge technologies have become the major sources of the supply of vast amounts of datasets in different forms. Tech companies have started leveraging big data for effective data management with data analytics and insights. The global big data market is expected to hit US$268.4 billion in 2026 at a CAGR of 12%. Big data companies have recognized the niche market and are solely focused on enhancing the productivity of other tech companies across the world.  

1. A3logics

A3logics is global IT services, consulting, and business solutions company leveraging best-in-class technologies to drive business efficiency. A3logics creates a next-generation space dedicated to aligning IT with business goals. The company’s dedicated team of tech-savvy developers and enthusiasts helps organizations embrace top solutions, which will help them fulfill their business objectives. A3logics uses artificial intelligence, blockchain, IoT, big data, augmented and virtual reality, etc to come up with software solutions that reflect the future. With the aim to bridge the gap between technology and business needs, the company works as a global provider of innovative solutions. In 2012, A3logics partnered with Zend Technologies to deploy, run, and manage PHP applications with high-level reliability, performance, and security.  

2. Absolutdata 3. Accenture

Accenture is a global technology and consulting company that works at the intersection of business and digitisations’ to help clients improve performance and create sustainable value for stakeholders. With 624,000 employees in more than 200 cities and 50 countries, Accenture provides a range of services and solutions in strategy, consulting, digital, technology, and operations. The company has recently acquired Kings James Group, a South African creative agency, to put creativity at the center of experience-led transformation to drive relevance and growth for its clients. Besides, Accenture has also renewed its joint business group with Amazon Web Services (AWS), which will help its clients’ spur innovation on the cloud continuum and accelerate business value.  

4. Alteryx

Alteryx is a data analytics software company that leverages a subscription-based platform, enabling organizations to prepare, blend, and analyze data from a multitude of sources and ease data-driven decisions. As a global leader in analytics process automation (APA), Alteryx unifies analytics, data science, and business process automation in one, end-to-end platform to accelerate digital transformation. The company democratizes access to data-driven insights to all data workers, business analysts, programmers, and data scientists by expanding the capabilities and analytical sophistication. The company has recently acquired a cloud platform for AI provider Hyper Anna and no-code data modelling firm Lore IO.  

5. Alpine Data Labs 6. Alation

Alation is passionate about helping enterprises create thriving data cultures where anyone can find, understand, and trust data. Alation pioneered the modern data catalog and is now leading its evolution into a platform for data intelligence. Data governance, analytics, cloud transformation, privacy, risk and compliance, digital transformation, metadata management, and DataOps are the solutions provided by Alation. The company is associated with 34 industries and has dominance in 26+ countries. In June 2023, Alation raises US$110M in Series D funding.  

7. Apache Hadoop 8. Ataccama

Ataccama is a global software company delivering a unified platform for automated data quality, MDM, and metadata management—Ataccama ONE. The company has specialization in complex enterprise data governance solutions that provide sustainable, long-term value. Ataccama’s goal is to enable business and data teams to innovate with unprecedented speed while automatically maintaining the security and governance of their data. The company focuses on implementing data governance, big data management, data fabric, single view of the data, and more.  

9. AWS

The AWS Solutions Library offers a collection of cloud-based solutions for dozens of technical and business problems, vetted for you by AWS. You can use patterns from AWS Solutions Constructs if you want to build your own well-architected application, explore our collection of AWS Solutions Reference Architectures as a reference for your project, browse the portfolio of AWS Solutions Implementations for applications that you can automatically deploy directly into your AWS account, or choose an AWS Solutions Consulting Offer if you want help from an AWS Partner with deploying, integrating, and managing a Solution.  

10. Aptitive

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10 Best Health Tech Companies In India In 2023

Explore the list of the 10 best Health Tech Companies in India for 2023 mentioned in this article

Healthcare’s health technology industry is expanding at the fastest rate. The term “health tech” refers to the intersection of technology and healthcare. Any technology that makes healthcare delivery or consumption outside of a hospital or doctor’s office possible is included in this broad definition. In addition to providing healthcare tech companies and services outside of hospitals, health tech companies also provide information technology solutions that enhance healthcare delivery and reduce costs. Cloud computing, internet services, and social mobility, for instance, all contribute to improving patient-centered care. the 10 best health tech companies in India for 2023 are listed below.

Top 10 HealthTech Companies in India in 2023:


The cutting-edge Acer employs artificial intelligence to analyze health data. The item is utilized in medical care offices to deal with the soundness of populaces. In addition, the business has developed a cloud-based platform for data activation to collect, investigate, and provide information on patient health.


PharmEasy is a drug store requesting stage that permits clients to arrange indicative tests and prescriptions on the web. The app lets users order medications from nearby pharmacies and get samples from nearby labs for home diagnostic testing. They can also use the website to place orders with nearby pharmacies and upload images of their prescriptions. With home sample collection, users can also look for diagnostic tests and schedule them. Supplements and other medical supplies are also sold on the platform.


1mg is a marketplace for online pharmacies that also provides teleconsulting services and marketplaces for online pharmacies. A pharmacy with online medications that can be viewed, compared, and purchased is featured on the website. In addition to uploading prescriptions, the user can place orders online. The online doctor consultation platform on the platform can also be used to find and schedule appointments with doctors. The platform also sells fitness supplements and healthcare products in addition to alternative medicines and medical devices.


The Curefit platform combines nutrition counseling with fitness training. The company’s brand, CureFit, offers dance, yoga, and workout classes both in the gym and at home. It also provides an online platform for mental health and wellness as well as healthy food delivery services like meals, snacks, and beverages under the EatFit brand.


Practo gives the practice to the executives, telemedicine, and arrangement planning. In this electronic stage, patients and doctors can team up. Patients’ profiles can be viewed online, appointments can be made, and chat-based teleconsultations are possible.


Mfine is a web-based app that lets you talk to a doctor online, schedule an appointment, and get your medication delivered. It is possible to consult with doctors from nearby hospitals online. A portion of the facility’s claims to fame incorporate pediatrics, gynecology, and obstetrics. Additionally, the clinic provides services for at-home healthcare, including examinations and laboratory tests.


MediBuddy, a portable application supplier, gives online specialist discussions as well as different administrations. This online platform enables users to communicate about their treatments and locate healthcare providers. It is possible to purchase healthcare packages, schedule appointments with doctors, order and have medications delivered to the patient’s door, and access medical records. Clients can likewise send pre-approval demands and guarantee notices in case of hospitalization.


HealthKart sells health products, sports supplements, and nutritional supplements. The business sells health food, fitness products, Ayurvedic and herbal supplements, vitamins, and supplements. In addition, the article provides nutritionist consultations and discusses the most recent developments in each category.


Marketplace for medical equipment online. Using an online payment portal and a voice-based search engine, the provider can compare and buy medical products. In addition, they offer assistance to customers regarding the usage and specifications of products, as well as hospital supplies, materials, and medical supplies.


Best Minecraft Towny Servers You Must Join

Best Minecraft Towny Servers (2023)

We have covered towny servers for both Minecraft Bedrock and Java editions. You can use their respective server addresses to easily join Minecraft servers on any platform. Moreover, our list isn’t ranked, so feel free to explore the servers at your convenience.

1. Pikadex

Java Address: chúng tôi (Recommended for 1.16.5)

Pixelmon Mod: Sedex Pixelmon

In the world of video games, Pokemon games have the most interactive and interesting worlds. Focusing on that aspect, we have this fun Pikadex Minecraft towny server. It is one of the many fun Minecraft Pixelmon servers that brings Pokemon to your blocky world. You get hundreds of Pokemons, NPCs, gym leaders, and beautiful towns.

Other than interacting with the majestic characters, you can also build a Minecraft house in this server’s town. There is grief protection all across the server, so no need to worry about your house getting looted. And to complete the experience, the server does support Pokemon breeding and PvP fights.

2. BlossomCraft

Java Address:

Bedrock Address:

As for its features, the server has custom houses, chest shops, a player-run economy, and new enchantments. It also has a creative mode option to help you and your friends make unique structures on the server. Check out this article on the best house ideas in Minecraft for some inspiration.

3. MineSuperior

Java Address:

Some of the popular Minecraft towny servers are known to get repetitive after some time. But not MineSuperior. It brings new changes, regular updates, and a myriad of unique features. The server has a main town, where players can create bases, showcase achievements, and invite friends over. But that’s not all.

Beyond the towny part of this server, it also has other amazing game modes. These include factions, sky block, survival, prison, creative, and even a KitPvP mode. So, whether you want to compete with your friends or simply spend time with them, this server is worth your time.

4. Datblock

Datblock is a popular Minecraft server that always has hundreds of active players. It is known for its exclusive content, regular events, and a variety of popular game modes. You just have to jump onto it to find a place for yourself on this server.

5. Mox MC or Purple Prison

Java Address:

Mox MC or Purple Prison is one of those Minecraft towny servers you can never get bored of. It is known for exclusive mods and the most unique gameplay experience for players. This server has a prison, dedicated PvP modes, and some custom arenas. But its competitive side isn’t what we want from Mox MC.

One of the best parts of this server is the amazing towny plugins. You can claim lands, get villager jobs, tame pets like cats, get cases, and more. If that isn’t enough, you can even marry other players to create a complete life within Minecraft. As for other game modes, the server offers bedwards, Spleef, maze, parkour, lucky blocks, build battles, and more.

6. CatCraft

Java Address: chúng tôi Address:

Our next best Minecraft towny server does everything that a good towny server should do. But it takes the whole experience a step further by providing players with a rare chance of enjoying crossplay between Java and Bedrock. Yes, these players won’t be able to fight each other, but they can still build some amazing structures in the dedicated areas. Such crossplay is hard to achieve for any online server.

The server’s goal is to provide players with a friendly gameplay experience in a fresh survival overworld. Moreover, the server has built-in realms too for players to try. As for the functionality, the server’s economy is fully player-based and uses diamonds as currency. The active admins have added grief protection to keep players’ progress safe.

7. EcoCityCraft

Java Address:

On this towny server, you can mine, craft, and collaborate much like any other Minecraft server. But unlike anything else, it allows you to become the richest Minecrafter thanks to a variety of opportunities for making “EcoDollars“. The server’s focus on the economy is clear from its name, and if nothing else, you can definitely take home some great lessons.

8. Lifesteal SMP

To sum up our list of best Minecraft towny servers, we have a medieval server. The server is quite simple and vanilla-based. But it is much more dangerous than any other servers on our list. You can become a part of a society with towns, houses, and more. Though, you won’t be safe while doing any of it.

The server allows players to steal each other’s lives (thus the name) by killing them. Players can also steal and raid other players’ bases. So, if you want to combat challenges while living in a towny server, Lifesteal is the place for you.

Start Living in the Top Minecraft Towny Servers

A Collection Of 10 Data Visualizations You Must See


Writing codes is fun. Creating models with them is even more intriguing. But things start getting tricky when it comes to presenting our work to a non-technical person.

This is where visualizations comes in. They are one of the best ways of telling a story with data. In this article, we look at some of the best charts and graphs people have created using tools like Python, R, and Tableau, among others.

I have also included the link to the source code or the official research paper, so you can attempt to create these visualizations on your machines or just get a general understanding of how it was created.

Let’s get into it.

Visualizing the tree line using solar panels

This is a beautiful graph where the author has visualized the trees around his house using solar panel data and the position of the sun.

You can access the source code here.

Tool Used: R

Calculating the Age of the Universe

Using data from Hyperleda, the author created this visualization in R to calculate the age of the universe. Astonishingly, his calculations were only off by -0.187% from the accepted age of the universe.

You can access the source code here.

Tool Used: R

Rendering the Moon using Earth’s Colors

This is a rendering of how the moon would look if it was filled with Earth’s colors. A spectacular effort using the moon’s topography which was converted to colormap using matplotlib and cpt city. The 3-D model was created with blender and python.

You can access the source code here.

Tool Used: Python

Gaussian Distribution

What’s impressive about this graphic is that it was created using JavaScript in a HTML document (you read that correctly).

You can access the source code here.

Tool Used: JavaScript

1.3 Billion Taxi Trips in New York City

An absolutely gorgeous firefly-like visualization. The author collected, cleaned and plotted the pick-up and drop-off locations of all taxi rides in New York between January 2009 and June 2023.

You can access the source code here.

Tool Used: Python

Instability of an unsteered bicycle

This surreal visualization shows 800 runs of a bicycle being pushed to the right. For each run, the path of the front wheel is shown until the bicycle fell over. The research paper is written in a humorous tone as well, adding to the already fascinating effort of creating self-riding bicycles.

You can access the research paper here.

Tool Used: Python

The World Seen Through 17,000 Travel Itineraries

According to the author, “Each city is plotted with its (lat, lng) coordinates and connected to any other city that came after it in someone’s itinerary. For example, London is connected to Paris because there’s at least one itinerary going from the former to the latter. The countries were clustered together and colored using the Louvain Modularity. All countries of the same color have trips that go between each other more often than other countries.”

You can further read about it, and access the source code files, here.

Tools Used: Tableau, Gephy

The BB-8 Droid

If you are a fan of the Star Wars franchise then this one is for you. The author created this droid using shapes (and a couple of other libraries) in R.

You can access the source code here.

Tool Used: R

Visualizing Solar Eclipses

The author has visualized solar eclipses over 5 millennia based on type, date, duration, and latitude. A spectacular effort.

You can access the Tableau workbook here.

Tool Used: Tableau

The Jimi Hendrix Experience

This Tableau visualization contains all of Jimi Hendrix’s live performances between 1967 and 1970. It includes which songs were played and their frequency, where the concerts were held, among other insightful data.

You can access the Tableau workbook here.

Tool Used: Tableau


Everything You Should Know About Data Structures In Python


Data structures in Python are a key concept to learn before we dive into the nuances of data science and model building

Learn about the different data structures Python offers, including lists, tuples and much more


A Data Structure sounds like a very straightforward topic – and yet a lot of data science and analytics newcomers have no idea what it is. When I quiz these folks about the different data structures in Python and how they work, I’m met with a blank stare. Not good!

Python is an easy programming language to learn but we need to get our basics clear first before we dive into the attractive machine learning coding bits. That’s because behind every data exploration task we perform, even analytics step we take, there is a basic element of storage and organization of the data.

And this is a no-brainer – it’s so much easier for us to extract information when we store our data efficiently. We save ourselves a ton of time thanks to our code running faster – who wouldn’t want that?

And that’s why I implore you to learn about data structures in Python.

In this article, we will explore the basic in-built data structures in Python that will come in handy when you are dealing with data in the real world. So whether you’re a data scientist or an analyst, this article is equally relevant for you.

Make sure you go through our comprehensive FREE Python course if you’re new to this awesome programming language.

Table of Contents

What are Data Structures in Python?

Data Structure #1: Lists in Python

Creating Lists

Accessing List elements

Appending values in Lists

Removing elements from Lists

Sorting Lists

Concatenating Lists

List comprehensions

Stacks & Queues using Lists

Data Structure #2: Tuples in Python

Creating Tuples in Python

Immutability of Tuples

Tuple assignment

Changing Tuples values

Data Structure #3: Dictionary in Python

Generating Dictionary

Accessing keys and values

Data Structure #4: Sets in Python

Add and Remove elements from Sets

Sets Operations

What are Data Structures?

Data structures are a way of storing and organizing data efficiently. This will allow you to easily access and perform operations on the data.

There is no one-size-fits-all kind of model when it comes to data structures. You will want to store data in different ways to cater to the need of the hour. Maybe you want to store all types of data together, or you want something for faster searching of data, or maybe something that stores only distinct data items.

Luckily, Python has a host of in-built data structures that help us to easily organize our data. Therefore, it becomes imperative to get acquainted with these first so that when we are dealing with data, we know exactly which data structure will solve our purpose effectively.

Lists in Python are the most versatile data structure. They are used to store heterogeneous data items, from integers to strings or even another list! They are also mutable, which means that their elements can be changed even after the list is created.

Creating Lists

Lists are created by enclosing elements within [square] brackets and each item is separated by a comma:

Python Code:

Since each element in a list has its own distinct position, having duplicate values in a list is not a problem:

Accessing List elements

To access elements of a list, we use Indexing. Each element in a list has an index related to it depending on its position in the list. The first element of the list has the index 0, the next element has index 1, and so on. The last element of the list has an index of one less than the length of the list.

But indexes don’t always have to be positive, they can be negative too. What do you think negative indexes indicate?

While positive indexes return elements from the start of the list, negative indexes return values from the end of the list. This saves us from the trivial calculation which we would have to otherwise perform if we wanted to return the nth element from the end of the list. So instead of trying to return List_name[len(List_name)-1] element, we can simply write List_name[-1].

Using negative indexes, we can return the nth element from the end of the list easily. If we wanted to return the first element from the end, or the last index, the associated index is -1. Similarly, the index for the second last element will be -2, and so on. Remember, the 0th index will still refer to the very first element in the list.

But what if we wanted to return a range of elements between two positions in the lists? This is called Slicing. All we have to do is specify the start and end index within which we want to return all the elements – List_name[start : end].

One important thing to remember here is that the element at the end index is never included. Only elements from start index till index equaling end-1 will be returned.

Appending values in Lists

We can add new elements to an existing list using the append() or insert() methods:

append() – Adds an element to the end of the list

insert() – Adds an element to a specific position in the list which needs to be specified along with the value

Removing elements from Lists

Removing elements from a list is as easy as adding them and can be done using the remove() or pop() methods:

remove() – Removes the first occurrence from the list that matches the given value

pop() – This is used when we want to remove an element at a specified index from the list. However, if we don’t provide an index value, the last element will be removed from the list

Sorting Lists

Most of the time, you will be using a list to sort elements. So it is very important to know about the sort() method. It lets you sort list elements in-place in either ascending or descending order:

But where things get a bit tricky is when you want to sort a list containing string elements. How do you compare two strings? Well, string values are sorted using ASCII values of the characters in the string. Each character in the string has an integer value associated with it. We use these values to sort the strings.

On comparing two strings, we just compare the integer values of each character from the beginning. If we encounter the same characters in both the strings, we just compare the next character until we find two differing characters. It is, of course, done internally so you don’t have to worry about it!

Concatenating Lists

We can even concatenate two or more lists by simply using the + symbol. This will return a new list containing elements from both the lists:

List comprehensions

A very interesting application of Lists is List comprehension which provides a neat way of creating new lists. These new lists are created by applying an operation on each element of an existing list. It will be easy to see their impact if we first check out how it can be done using the good old for-loops:

Now, we will see how we can concisely perform this operation using list comprehensions:

See the difference? List comprehensions are a useful asset for any data scientist because you have to write concise and readable code on a daily basis!

A list is an in-built data structure in Python. But we can use it to create user-defined data structures. Two very popular user-defined data structures built using lists are Stacks and Queues.

Stacks are a list of elements in which the addition or deletion of elements is done from the end of the list. Think of it as a stack of books. Whenever you need to add or remove a book from the stack, you do it from the top. It uses the simple concept of Last-In-First-Out.

Queues, on the other hand, are a list of elements in which the addition of elements takes place at the end of the list, but the deletion of elements takes place from the front of the list. You can think of it as a queue in the real-world. The queue becomes shorter when people from the front exit the queue. The queue becomes longer when someone new adds to the queue from the end. It uses the concept of First-In-First-Out.

Now, as a data scientist or an analyst, you might not be employing this concept every day, but knowing it will surely help you when you have to build your own algorithm!

Tuples are another very popular in-built data structure in Python. These are quite similar to Lists except for one difference – they are immutable. This means that once a tuple is generated, no value can be added, deleted, or edited.

We will explore this further, but let’s first see how you can create a Tuple in Python!

Tuples can be generated by writing values within (parentheses) and each element is separated by a comma. But even if you write a bunch of values without any parenthesis and assign them to a variable, you will still end up with a tuple! Have a look for yourself:

Ok, now that we know how to create tuples, let’s talk about immutability.

Immutability of Tuples

Anything that cannot be modified after creation is immutable in Python. Python language can be broken down into mutable and immutable objects.

Lists, dictionaries, sets (we will be exploring these in the further sections) are mutable objects, meaning they can be modified after creation. On the other hand integers, floating values, boolean values, strings, and even tuples are immutable objects. But what makes them immutable?

Everything in Python is an object. So we can use the in-built id() method which gives us the ability to check the memory location of an object. This is known as the identity of the object. Let’s create a list and determine the location of the list and its elements:

As you can see, both the list and its element have different locations in memory. Since we know lists are mutable, we can alter the value of its elements. Let’s do that and see how it affects the location values:

The location of the list did not change but that of the element did. This means that a new object was created for the element and saved in the list. This is what is meant by mutable. A mutable object is able to change its state, or contents, after creation but an immutable object is not able to do that.

But we can call tuples pseudo-immutable because even though they are immutable, they can contain mutable objects whose values can be modified!

As you can see from the example above, we were able to change the values of an immutable object, list, contained within a tuple.

Tuple assignment

Tuple packing and unpacking are some useful operations that you can perform to assign values to a tuple of elements from another tuple in a single line.

We already saw tuple packing when we made our planet tuple. Tuple unpacking is just the opposite-assigning values to variables from a tuple:

It is very useful for swapping values in a single line. Honestly, this was one of the first things that got me excited about Python, being able to do so much with such little coding!

Changing Tuple values

Although I said that tuple values cannot be changed, you can actually make changes to it by converting it to a list using list(). And when you are done making the changes, you can again convert it back to a tuple using tuple().

This change, however, is expensive as it involves making a copy of the tuple. But tuples come in handy when you don’t want others to change the content of the data structure.

Data Structure #3: Dictionary in Python

Dictionary is another Python data structure to store heterogeneous objects that are immutable but unordered. This means that when you try to access the elements, they might not be in exactly the order as the one you inserted them in.

But what sets dictionaries apart from lists is the way elements are stored in it. Elements in a dictionary are accessed via their key values instead of their index, as we did in a list. So dictionaries contain key-value pairs instead of just single elements.

Generating Dictionary

Dictionaries are generated by writing keys and values within a { curly } bracket separated by a semi-colon. And each key-value pair is separated by a comma:

Using the key of the item, we can easily extract the associated value of the item:

These keys are unique. But even if you have a dictionary with multiple items with the same key, the item value will be the one associated with the last key:

Dictionaries are very useful to access items quickly because, unlike lists and tuples, a dictionary does not have to iterate over all the items finding a value. Dictionary uses the item key to quickly find the item value. This concept is called hashing.

Accessing keys and values

You can access the keys from a dictionary using the keys() method and the values using the values() method. These we can view using a for-loop or turn them into a list using list():

We can even access these values simultaneously using the items() method which returns the respective key and value pair for each element of the dictionary.

Sometimes you don’t want multiple occurrences of the same element in your list or tuple. It is here that you can use a set data structure. Set is an unordered, but mutable, collection of elements that contains only unique values.

You will see that the values are not in the same order as they were entered in the set. This is because sets are unordered.

Add and Remove elements from a Set

To add values to a set, use the add() method. It lets you add any value except mutable objects:

To remove values from a set, you have two options to choose from:

The first is the remove() method which gives an error if the element is not present in the Set

The second is the discard() method which removes elements but gives no error when the element is not present in the Set

If the value does not exist, remove() will give an error but discard() won’t.

Set operations

Using Python Sets, you can perform operations like union, intersection and difference between two sets, just like you would in mathematics.

Union of two sets gives values from both the sets. But the values are unique. So if both the sets contain the same value, only one copy will be returned:

Intersection of two sets returns only those values that are common to both the sets:

Difference of a set from another gives only those values that are not present in the first set:

End Notes

Isn’t Python a beautiful language? It provides you with so many options to handle your data more efficiently. And learning about data structures in Python is a key aspect of your own learning journey.

This article should serve as a good introduction to the in-built data structures in Python. And if it got you interested in Python, and you are itching to know more about it in detail and how to use it in your everyday data science or analytics work, I recommend going through the following articles and courses:


Best Tech Gifts For Christmas 2023

You’ll get lots of inspiration here, but we’d also recommend checking out the best tech deals – especially during the Black Friday and Cyber Monday sales.

Smartphones – Our choice: Poco X3 Pro

Who wouldn’t love a new phone for Christmas? Especially now that you can get solid discounts on premium handsets that launched at the beginning of the year or late last year.

You don’t have to be Scrooge to be put off by the £500-plus price of some of the flagship phones. The phone shown here is the Xiaomi Poco X3 Pro, which is our top budget buy at £229.

There are plenty of other incredible mid-range and budget phones that could make anyone envious thanks to top-notch performance and features.

(And if your recipient isn’t picky, you can find fabulous discounts on refurbished phones in top condition too!)

Follow the links below to find a phone to suit your budget and your recipient:

If you’re buying a new phone, consider also a power bank, wireless charger or other accessories such as a case.

Tablets – Our choice: iPad Air (4th gen, 2023)

A tablet makes a great Christmas present for your nearest and dearest, as always-on devices that let you work and play.

We’ve found that tablets can be a big hit with the over-50s, as well as teenagers and commuters. At the top of our tablets chart right now is the iPad Air (4th gen), which you can buy from £579/$599 from Apple. 

There are plenty of other excellent options too – best tablet deals. And if you’re looking for a tablet for a younger users, you can check out our round-up of the best kids tablets here.

If that’s out of your budget, check out our round up of the Amazon Fire HD 10 currently reduced to £79.99/$74.99 on Amazon.

Smartwatches – Our choice: Samsung Galaxy Watch 4 Classic

The Apple Watch and Fitbit lines have popularised wearable tech for all, and will feature high up on plenty of Christmas wish lists this year.

The Galaxy Watch 4 Classic (pictured) tops our list of the best smartwatches of the year with prices starting at £349/ $349.99.  See our full review of the Watch 4.

If you’re on a strict budget, check out the Amazfit GTS 2 Mini, which offers an AMOLED display and costs just £49.99 at Argos.

best smartwatch deals.

Activity trackers – Our choice: Fitbit Charge 5

With so many of us pledging to lose weight or get fit for the new year, a fitness- or activity tracker is an ideal Christmas gift. Fitbit is one of the biggest players in this market, but there are plenty of alternatives to choose from too, especially given all the recent releases.

Our pick of the year is the Charge 5 (£169.99/$179.95) but you can find last year’s still excellent Fitbit Charge 4 (RRP £129.99/$149.95) for just £89.99 at Amazon. See other excellent best Fitbit deals here.

We’re comparing all Fitbit models here too to help you decide.

Want to see options outside Fitbit? See our favourite activity trackers.

Gifts for kids – Our choice: Osmo Coding

There are many cheaper options when it comes to tablets and other techy gifts for kids, as demonstrated in our round-up, which you can read here, along with our separate guides to the best robot toys and coding games for kids.

In addition to being lots of fun, these gifts are often educational too – a lesson in disguise like the Osmo Coding games (£99.99/$129.99, which teach children (ages 5-12) how to code using physical blocks.

Headphones – Our Choice: Sony WH-1000XM4

Our list of the best headphones to gift this Christmas has something for everyone, whether you’re looking for the best audio quality or the best price.

If you’ve got cash to splash on the very best, you’ll want to pick up the Sony WH-1000XM4 (£350/$349.99). See our overall round-up of the best headphones for other excellent options.

For cheaper headphones that still offer impressive quality for the price

These days it’s wireless earbuds such as the new Apple AirPods 3 (£169/$179) which that really impress – however, check out the best Bluetooth earbuds ( as well as some cheaper options).

Bluetooth speaker – Our choice: EarFun Uboom

The best speakers can cost hundreds of pounds, but getting better (or simply louder) audio from your phone, tablet or laptop is easily achievable without spending a fortune.

The EarFun Uboom is a great affordable option and currently tops our best budget Bluetooth speakers list. It costs £59.99/$79.99 on but you can get it for a lot cheaper from Amazon.

If you’ve got more money to spend on a speaker (perhaps this is a Christmas gift for yourself!) then check out our overall best speakers chart here.

Of course, it’s also worth considering a smart speaker, and Amazon has some incredible deals on Echo right now.

E-Readers – Our Choice: Kindle Paperwhite (2023 model)

The ideal gift for a book worm, an e-reader lets you hundreds of books into a single slim and light digital device. E-readers are cheaper than tablets, optimised for reading, and with much better and battery life.

Our pick of the best is the new Kindle Paperwhite (2023), but the previous generation is still an excellent option, now at a fraction of the original price on Amazon. In fact, we’ve crowned it the best value e-reader in the list of our favourite e-readers this year.

Drones – Our choice: Ryze Tello

Drones are the new remote control car, and they don’t have to cost the world.

round-up of the best cheap drones here.

Check out the DJI Ryze Tello for just £99 on Amazon and $99 on Best Buy.

Games consoles – Our choice: Nintendo Switch

A new games console is one of the most exciting gifts you can open on Christmas morning, because the endless entertainment that follows can last all the way until next Christmas (and you’ll know just what to get them next time – a game or two!)

Oculus Quest 2 and the new PlayStation 5 seem to be the big-hitters this year, but PS5 at least is also as easy to find as gold dust. The stock situation for the updated Xbox Series X and Series S is better, and don’t forget the Nintendo Switch which is now £20 cheaper thanks to the arrival of the Switch OLED Model. 

We’re rounding up all the best Nintendo Switch deals and taking a look at how to get the Switch/Switch OLED for for free with a phone contract (two presents for the price of one? Why not!).

We also have the best Switch games in this handy round up.

See the best games consoles available in our chart here.

Instant cameras – Our choice: Instax Mini 11

You’d think instant cameras would be consigned to the past, but nostalgia has dragged them kicking and screaming into the 21st Century, and surprisingly enough they’re actually a welcome presence.

In an age of instant filters and digital backups, there’s something to be said for a camera that doesn’t let you pick the perfect photo out of ten options, and that immediately gives you a physical print to hang onto.

We’ve tested a selection for our guide to the best instant cameras, but for gift giving one of our favourites us the affordable Instax mini 11 (£69.99/$69.95).

Gaming keyboards – Our choice: Logitech G915

Another option for gamers, this time the PC-loving variety, is a new gaming keyboard.

We’ve picked out 10 of the best gaming keyboards available to buy in the UK, so take a look here.

Among the best is the Logitech G915 gaming keyboard (£209.99/$249.99) which is available direct from Logitech.

Gaming mice – Our choice: Razer Naga Trinity

Alternatively, how about a gaming mouse? You’ll find 10 of the best gaming mice to buy for Christmas

The Razer Naga Trinity (£99.99/$99.99) is one of the most user-friendly mice we’ve tested, and could make the perfect gift for PC gamers. It’s currently on offer at £48.99 at Amazon.

Laptops – Our choice: Huawei Matebook 14s (2023)

A laptop could make an amazing present this Christmas, and it doesn’t necessarily have to break Santa’s bank.

See our favourite laptops to gift this year, and here to go to our favourite budget laptops. You’ll also find some great laptop deals this time of year.

Top of our overall best laptops chart right now is the Huawei Matebook 14s (2023), available from Amazon with £250 off!

Laptop bags – Our choice: Ogio Alpha Convoy

If your gift’s recipient already has a laptop, how about a laptop bag? We’ve reviewed our favourite cases, rucksacks and messenger bags for style, comfort and practicality.

The Ogio Alpha Convoy 525r backpack sits at the top of our best laptop bag list for being strong yet lightleight.  See our favouite laptop bags for Christmas.

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