TechDogs-"Top 5 Big Data Tools Of 2024"

Data Management

Top 5 Big Data Tools Of 2024

By TechDogs Editorial Team

TechDogs
Overall Rating

Overview

Sam and Dean Winchester’s goal in Supernatural (a TV show) was to hunt down and defeat every supernatural entity. The issue was that there wasn’t readily available information on how to defeat such powerful beings. This is where Robert Singer, AKA Bobby, a trustworthy family friend, stepped in.

Although Bobby was a genius, he too had to refer to ancient lore or hunt (pun intended) for solutions in old books. Of course, Bobby always came through but the two supernatural hunters ended up losing valuable time in the process. They certainly needed a better approach!

The boys did catch a break when they came across a bunker left behind by the defunct Men of Letters (experts in the same cause), as it had a stocked-up library. However, they faced the same issue again - the lack of a proper system to sift through the data meant it would take effort and time!

Had the Men of Letters used Big Data Tools, the Winchester brothers would've had it easy! These tools help businesses sift through data, analyze it and present it as meaningful and actionable insights. So, if you’re looking for the right tool for your enterprise, read on to learn the top 5 Big Data Tools of 2024!
TechDogs-"Top 5 Big Data Tools Of 2024"
Imagine, you lose a bet to some friends and your penance for it is you have to cook dinner for them. This includes a range of dishes. No problem, you’re a master chef! However, since all of you are hanging out at another friend’s house, you’re a little skeptical about what you’ll prepare.

“Don’t worry, my kitchen is stacked,” says the friend. There, problem solved!

Oh no, here comes another problem! While the kitchen is stacked, it’s strange to you. You don’t know where what is kept. Even though the kitchen has everything you need, you can’t make much out of it.

Similarly, businesses possess tremendous amounts of varied ingredients but without the right arrangement, they won’t be able to utilize them properly and, ultimately, will be rendered useless. This is why they need to be sorted, labeled and organized correctly to produce valuable outputs.

Enter Big Data Tools. This piece of software helps businesses collect, analyze, manage and process varied data types from numerous sources to present it in a way that businesses can make the most out of.

Moving forward from the Top 5 Big Data Tools Of 2023, we now explore the top 5 Big Data Tools Of 2024! Check them out.
 

Top 5 Big Data Tools Of 2024


Big Data Tools help businesses make sense of the mountains of data they possess by extracting information from numerous data clusters housing varied data sets and types and then processing them to produce meaningful insights.

So, let’s get into the list of the top 5 Big Data Tools of 2024 - in random order.
 
Apache Hadoop
Apache Hadoop
Databricks Lakehouse Platform
Databricks Lakehouse Platform
Snowflake
Snowflake
Qubole
Qubole
Alteryx
Alteryx
 

Tool 1: Apache Hadoop


Apache Hadoop is built and operated by the Apache Software Foundation, a nonprofit organization, founded in 1999 and has its headquarters in Wilmington, USA. With more than 8,400 contributors collaborating to develop over 320 active projects, Apache Software Foundation’s open-source software is used the world over. #ApacheTheOG

TechDogs-"Tool 1: Apache Hadoop"-"A Screenshot Of The Overview Dashboard On The Apache Hadoop Platform"  
With the praise it receives for its capabilities, it’s no surprise that Apache Hadoop retains its position in this year’s top tools from last year’s. Apache Hadoop is an open-source framework that enables easy and efficient storage and processing of large datasets. Rather than using one large computer to operate storage and processing functions, Hadoop clusters multiple servers to analyze data in parallel, making the process faster. Additionally, Hadoop is designed to detect and handle failures at the application layer, essentially delivering a highly available service.

Want to know the exciting part? Well, Apache's Hadoop allows for the usage of all the storage and processing capacity of cluster servers, which in turn makes it easier to execute distributed processes with large amounts of data. Essentially, through its reliable, scalable and distributed computing prowess, Hadoop provides an idealistic platform upon which applications and services can be built. Sam, the tech expert between the two, would be very proud!

Feature Ratings:

Ease of Use: ⭐ ⭐ ⭐ ⭐
Value For Money: ⭐ ⭐ ⭐ ⭐ ⭐
Startup Friendly: ⭐ ⭐ ⭐ ⭐
Enterprise Friendly: ⭐ ⭐ ⭐ ⭐
Customer Support: ⭐ ⭐ ⭐
 

Tool 2: Databricks Lakehouse Platform


The next in our list, Databricks, was founded in 2013, with its headquarters in San Francisco, USA. The company has over 5,000 employees spread across 20 global locations. Over 9,000 organizations and more than 40% of the Fortune 500 use the company’s Databricks Lakehouse Platform. Databricks was even recognized as a Leader in the 2022 Magic Quadrant for Cloud Database Management Systems and won the 2022 Customer Choice Award for Cloud Database Management Systems. Congratulations, Databricks!

TechDogs-"Tool 2: Databricks Lakehouse Platform"-"A Screenshot Of The Data Quality Monitoring Tab On The Databricks Lakehouse Platform Interface"
Databricks Lakehouse Platform returns this year as well! Yay! Built on open-source and open standards, it offers you a unified, open and scalable solution to big data, doing away with data silos. It offers you reduced costs and increased efficiency for your data and AI initiatives by combining the best elements of data lakes and data warehouses. Furthermore, it offers solutions for data sharing, data engineering, data governance, data warehousing, artificial intelligence, data science, real-time streaming and a whole marketplace that will help advance your AI (Artificial Intelligence), ML (Machine Learning) and analytics initiatives.

Databrick Lakehouse Platform screams unity through and through. The platform unifies all your data, analytics and AI initiatives on one convenient and easy-to-use platform. It brings you an end-to-end view of data lineage and a holistic approach to how you can work with data, structured or unstructured. It provides you with one platform for integration, storage, processing, governance, sharing, analytics and more!

Feature Ratings:

Ease of Use: ⭐ ⭐ ⭐ ⭐
Value For Money: ⭐ ⭐ ⭐ ⭐ ⭐
Startup Friendly: ⭐ ⭐ ⭐ ⭐
Enterprise Friendly: ⭐ ⭐ ⭐ ⭐
Customer Support: ⭐ ⭐ ⭐
 

Tool 3: Snowflake


Snowflake, founded in 2012, is headquartered in Bozeman, Montana, USA. The company has over 5,500 employees in more than 30 locations worldwide. With customers like DoorDash, AT&T, Warner Music Group, Western Union and others, Snowflake has numerous accolades to its name. Snowflake was even recognized among the Top 50 IT Infrastructure Products in G2’s Best Software Awards of 2023. Way to go, Snowflake!

TechDogs-"Tool 3: Snowflake"-"A Screenshot Of The Worksheet Tab On The Snowflake Platform"
Coming new to the list this year, Snowflake is a single, global platform that powers the Data Cloud. The platform is designed to connect businesses globally across various data types or scales and workloads. The end goal is to facilitate seamless data collaboration. It offers you the performance, flexibility and scalability you need to load, integrate, analyze and share your data, all done securely. This easy-to-use platform enables you to harness the power of your data. Furthermore, you can power complex data pipelines, large-scale analytics, interactive applications and much more.

Its cool features, you ask? Snowflake offers you a unified platform for many workloads, along with efficient and seamless collaboration. This includes workloads such as AI/ML applications, collaboration, cybersecurity, data engineering, data lake, data warehouse and the Unistore, a ready-to-query transactional and analytical feature. This helps you act on data immediately and simplify development by uniting and analyzing any type of business data!

Feature Ratings:

Ease of Use: ⭐ ⭐ ⭐ ⭐ ⭐
Value For Money: ⭐ ⭐ ⭐
Startup Friendly: ⭐ ⭐ ⭐ ⭐
Enterprise Friendly: ⭐ ⭐ ⭐ ⭐
Customer Support: ⭐ ⭐ ⭐ ⭐
 

Tool 4: Qubole


Qubole was founded in 2011 and purchased by Idera Inc. In 2020. Idera was founded in 1999, has over 500 employees across 2 offices and is headquartered in Austin, USA. The company has a portfolio of over 25 brands under its wing, which are global B2B software productivity brands. Qubole itself has a customer base of 200+ organizations worldwide and includes names like Expedia, Merkle, Acxiom and others. Way to go, Qubole!

TechDogs-"Tool 4: Qubole"-"A Screenshot Of The Code Page On The Datasets Tab On The Qubole Platform"
Returning to our list this year, Qubole is an open, simple and secure data lake platform that offers comprehensive data solutions, which include sectors such as machine learning, streaming analytics, ad-hoc analytics, data engineering and data fabric. The platform also provides end-to-end solutions that facilitate efficient and effective data pipelines, streaming analytics and machine learning workloads on any cloud. Qubole works well with Amazon Web Services, Microsoft and Google Clouds. No trouble when there’s Qubole!

Qubole makes handling big data very easy, as it offers an open, simple and secure platform to deliver petabytes of secured and trusted datasets from structured or unstructured data. The platform also brings an out-of-the-box workbench for data scientists, data engineers, data analysts and administrators. Interestingly, it requires near-zero administration as it automates the installation, configuration and maintenance of multiple open-source tools. All this results in a cost reduction of up to 50%!

Feature Ratings:

Ease of Use: ⭐ ⭐ ⭐⭐
Value For Money: ⭐ ⭐ ⭐
Startup Friendly: ⭐ ⭐ ⭐⭐
Enterprise Friendly: ⭐ ⭐ ⭐⭐
Customer Support: ⭐ ⭐ ⭐⭐⭐
 

Tool 5: Alteryx


Last but not least, we have Alteryx which was founded in 1997 and headquartered in Irvine, California, USA. With over 2,000 employees across 22 additional global offices, the company has more than 8,000 customers globally who rely on Alteryx to deliver high-impact business outcomes. Brands like Netflix, Nestle, Visa, Dell and IBM have adored their working experience with Alteryx. In 2023, Alteryx was included in Database Trends and Applications (DBTA) Big Data 75 list and also named a PeerSpot Tech Leader for data science platforms. Kudos, Alteryx!

TechDogs-"Tool 5: Alteryx"-"A Screenshot Of The New Workflow Tab On The Alteryx Platform"
Alteryx comes in as a new entrant this year, as it drives intelligent decisions across the enterprise. This is done through automated data preparation, analytics, capable machine learning and AI-generated insights. It brings self-service, which enables seamless collaboration through an intuitive user experience. It functions as a unified platform, offering end-to-end cloud analytics and enterprise-grade security to ensure your data is fully protected and there are no risks involved.

Alteryx makes it possible for you to leverage artificial intelligence to gain insights from your data by using generative AI to accelerate communication, as well as machine learning algorithms to enhance your analytics processes. Isn’t that amazing? The platform even brings you hundreds of data connectors through APIs for popular applications, databases and public clouds. The platform enables analysts and data engineers to collaborate, automate and connect workflows to speed up projects so you can get the most out of your data and speed up your projects. #AccelerateWithAlteryx

Feature Ratings:

Ease of Use: ⭐ ⭐ ⭐ ⭐ ⭐
Value For Money: ⭐ ⭐ ⭐ ⭐
Startup Friendly: ⭐ ⭐ ⭐
Enterprise Friendly: ⭐ ⭐ ⭐ ⭐
Customer Support: ⭐ ⭐ ⭐ ⭐
 

Winding It Up


It’s no secret that businesses collect mountains of data. However, to leverage that data, they make use of Big Data Tools. These tools collect, analyze and manage large, complex sets of data from a range of sources and process them to prepare meaningful insights that power data-driven decisions, making things easy!

However, every business has unique big data requirements, which is why you should ensure you pick a platform that suits your unique needs.

Frequently Asked Questions


What Are Big Data Tools?


Big Data Tools are software applications designed to help businesses collect, analyze, manage and process large and diverse datasets from various sources. These tools play a crucial role in organizing and extracting valuable insights from massive amounts of data, empowering businesses to make informed decisions.


How Do Big Data Tools Benefit Businesses?

Big Data Tools offer several benefits to businesses, including enhanced data analysis capabilities, improved decision-making processes, increased operational efficiency and better understanding of customer behavior. By leveraging these tools, businesses can derive actionable insights from their data, leading to competitive advantages and improved performance.


What Are Some Examples Of Top Big Data Tools In 2024?


Some of the top Big Data Tools for 2024 include Apache Hadoop, Databricks Lakehouse Platform, Snowflake, Qubole and Alteryx. These tools offer a range of features and functionalities, catering to various data management and analysis needs of businesses across different industries.

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