Top 23 Big Data Platform Tools Free 2023 (Update), And Examples

Big Data Platform Tools – While this statement is true in many ways, what people often forget is how Big Data Platform Tools works. If you only read the headlines, it would be easy to assume that big data is nothing more than a timeless source of information.

Is not just a valuable insight into the world. On Big Data Platform Tools it’s messy actually, the definition is by the term ‘big data’ refers to data sets that are very large, very complex, and incomprehensible.

Luckily, amidst the raw data chaos and revolutions we read about, there is an endless army of data scientists and analysts.

Can convert big data into a structured format that is useful for our needs. It takes time, technical expertise and a lot of patience.

Fortunately, there are many big data tools available to help. In this post, we explore just a few of the big data tools users love.

Below are some reviews and explanations that will prepare specifically for you regarding the Top 6 Big Data Platform Tools Free 2023 (Update), And Examples. For a full review, see below!!

What Is a Big Data Platform ?

Recently, many sophisticated and scalable cloud data platforms have emerged to store and analyze the growing mass of information.

This type of platform has become known as a big data platform. Big data platforms act as an organized storage medium for large amounts of data.

Big data platforms use a combination of data management software and software to store aggregate data sets, usually in the cloud.

Big data can be used to process this amount of information and store it in a way that is organized and understandable enough to yield useful insights.

Big data platforms use a combination of data management software and software to collect data at scale, usually in the cloud.

Top 23 Big Data Platform Tools Free 2023


Below are some reviews and explanations regarding the Top 6 Big Data Platform Tools Free 2023 that will prepare and explain, including:


Users can analyze data stored on Microsoft’s Azure cloud platform using a spectrum of open source Apache technologies, such as Spark and Hadoop.

Azure also has a full range of native analytic tools, HDInsight, which streamlines data cluster analysis and integrates seamlessly with other Azure data tools.


The second platform is called GOOGLE CLOUD which already offers many big data management tools, each with its own specialty.


BigQuery stores petabytes of data in an easy query format. Dataflow analyzes continuous data streams and historical data sets together.

In an application called Google Data Studio, this will allow you to turn different data into special graphs.


The third platform is called AMAZON WEB SERVICES or known as AWS, which has a variety of analytical tools designed for everything from data preparation and storage to SQL queries and data lake design.

All resources scale with your data while growing in a secure cloud-based environment. Features include customizable encryption and virtual private cloud options.


The CLOUDERA Platform is based on Apache Hadoop and can process large amounts of data. Customers regularly store more than 50 petabytes in Cloudera data warehouses.


Which can manage data like machine logs, texts and more. DataFlow by Cloudera, formerly DataFlow by Hortonworks, analyzes and prioritizes data in real time.


The platform, hereinafter named SNOWFLAKE, is a data warehouse used for storage, processing, and analysis.

It runs on public cloud infrastructure, Amazon Web Services, Google Cloud Platform, Microsoft Azure, and is integrated with the new SQL query engine. Built like a SaaS product, the entire architecture is distributed and managed in the cloud.


This platform, called SUMO LOGIC, offers three types of support for applications including Airbnb and Pokémon GO.


You can of course troubleshoot, track business analytics, and catch security breaches using machine learning for maximum efficiency. It is also flexible and able to handle sudden influx of data.


The platform named TABLEAU has a cloud that will allow users to find unexpected trends, correlations and dependencies among data sets.

The Data Management Add-on will expand due to the platform and can also allow for more detailed data cataloging and data tree tracking.


The Sisense data analytics platform processes data quickly thanks to on-chip technology. Having an interface also allows customers to use, create, and view custom dashboards and analytics applications.

And with AI technology and built-in machine learning models, Sisense enables customers to see the business opportunities of the future.


The platform, named COLLIBRA, will be designed to meet healthcare, banking needs, and other data-intensive fields, Collibra empowers company employees to find relevant, high-quality data.


This platform is highly versatile featuring a semantic search engine that can find more relevant results by uncovering contextual meanings and pronoun references in search terms.


This QUALTRICS EXPERIENCE MANAGEMENT platform will enable companies to assess key experiences that are customer experience, define brand, employee experience, design, product, and brand experience is defined by marketing and brand awareness.

Analytics tools turn data about marketing campaign performance, employee satisfaction and more into actionable predictions powered by machine learning and AI.


The platform, called TALEND, will allow customers to quickly load file from hundreds of sources into a data warehouse that is structured and ready for analysis.

Additionally, there is Data Fabric, Talend’s unified data integration solution, combining data integration with data management and integrity, and offering application and API integration.


The software, named TERADATA, can also work with various public cloud services, but users can also integrate with Teradata cloud storage.


This all-Teradata experience leverages synergies between Vantage cloud hardware and NewSQL engine and machine learning capabilities. Teradata Cloud users also enjoy special benefits such as flexible pricing.

13. DOMO

Domo’s big data platform leverages a customer’s rich data portfolio to provide industry-specific insights and AI-driven predictions.

Even when the relevant data is scattered across multiple cloud servers and disks, the Domo client can collect it all in one place with Magic ETL, a drag and drop tool that speeds up the integration process.


This ORACLE platform can migrate various data formats to cloud servers automatically, ostensibly without any downtime. The platform can also be used on-site and in hybrid environments.

It can also add and modify data, either streamed in real time or stored in a central repository, also known as a data lake. A free platform tier is also available.


This platform, called MONGODB, does not force data into tables. Instead, cloud-based platforms store data as flexible JSON documents, i.e. as digital objects that can also be organized internally in various ways.

This platform was developed for application developers and offers up-to-date search functionality. For example, users can search data based on geotags and charts, as well as text phrases.

16. Tools ALTERYX


A platform on which ALTERYX easily assembles the company’s eponymous platform across departments. Interlocking tools allow users to create iterative data workflows, simplify data analysis, data preparation processes, and deploy R and Python code on the platform for faster predictive analytics.


The Civis Analytics cloud-based platform provides end-to-end data services, from data ingestion to models and reports.

Built with data scientists in mind, the platform integrates GitHub to make it easy for users to collaborate and is considered highly secure that is HIPAA compliant and SOC 2 Type II certified.


ZETA GLOBAL’S MARKETING PLATFORM uses a database of billions of permission-based profiles to help users optimize their omnichannel marketing efforts.

The platform’s AI capabilities sift through disparate data, helping marketers target key demographics and acquire new customers.



The TREASURE DATA platform turns out to be able to sort mobile, web and IoT data stacks into rich and individual customer profiles so that marketers can communicate with their audience in a more customized and personalized way.


The platform named VERTICA is a memory-agnostic system. That means it can analyze data from cloud services, on-premises servers, and other areas of data storage.

Vertica works very fast thanks to columnar storage, which makes it easy to scan only the relevant data. It offers predictive analytics based on machine learning for industries such as finance and marketing.


Furthermore, this platform called ACTIAN AVALANCHE can be designed for fast results, even when users run multiple queries simultaneously.

Powered by Microsoft and Amazon public cloud support, it can analyze data in both public and private clouds. For easy app deployment, the platform comes with built-in connections to Workday, Salesforce and more.


At HITACHI VANTARA’S PENTAHO it streamlines the data ingestion process by using pre-coded hands and offers time-saving features such as pre-built data transformation templates, drag-and-drop integration, and metadata injection.

Once users add data, the platform’s data agnostic design makes it possible to extract business intelligence from any data format.


Platform GREENPLUM includes this platform using PostgreSQL to handle a wide range of data analysis and operational projects, from business intelligence search to deep learning.

Greenplum can analyze data residing in the cloud and in server and container orchestration systems. Additionally, it has an integrated extension toolkit for location-based analysis, document extraction, and multi-node analysis.

Also Read :

Thus the explanation that has been prepared by about Top 23 Big Data Platform Tools Free 2023 (Update), And Examples. That is all and thank you!!