10 Top Big Data Software Tools: To Handle Your Data Management

We are all living in a data-driven economy. It leads to constantly increasing business opportunities and innovations. And some top big data tools for analysis, management, and storage can give you unexpected advantages.

Of course, the market is crowded with software platforms. All of them aim to save your time, money and to give you valuable insights and information.

However, there a list of popular big names in the industry, you should be familiar with. Here, we collected 10 of the best tools to handle big data analysis, processing, management, and storage.

Data Analysis:

1. Qubole

Qubole is a leading cloud-agnostic Big Data As a Service provider that allows you to analyze tons and tons of data. The platform makes it seamlessly for you to prepare, integrate, and explore data in the cloud.

If you want to have easily accessible data-driven insights to make business-critical decisions, Qubole worth to consider.

Moreover, Qubole is the first autonomous data platform in the industry. This cloud-based data software tool self-manages, self-optimizes and learns to improve automatically.

And the other good thing about Qubole is that it uses the most popular open source frameworks such as Hadoop and Hive.

Key benefits:

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  • Simplifies and speeds big data analytics.
  • Built for anyone who uses data – data engineers, Ops, analysts and data scientists.
  • Single platform for every use case – ETL and reporting, Ad-hoc, stream processing, machine learning.
  • Uses open-source software, optimized for the Cloud Spark, Hive, Hadoop, Presto, and others.
  • Cloud Native, Cloud Agnostic and Cloud Optimized.
  • Comprehensive security, governance, and compliance.


Website: https://www.qubole.com

2. Statwing

Statwing is an absolutely easy to use statistical tool for analyzing big data that can impress you.

You can work much faster in Statwing than you would in statistical tools like SPSS or Excel. And if you are a newbie user, you can gather as much data-driven insight as an expert data analyst.

You can do so much analytics things with no efforts such as performing easily linear regression models and other types of data analysis methods, understanding the results of your survey in minutes and etc.

Key benefits:

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  • Modern and very intuitive interface
  • Explore your data in seconds – just upload your dataset, then select the relationships you want to explore.
  • Instant visualization – automatically visualizes every analysis.
  • Built for analytics, so it chooses statistical tests automatically.
  • Very fast tool.


Website: https://www.statwing.com/

Data Storage and Management:

3. Apache Hadoop

I am sure, you know that name. Hadoop is a free and open source software tool for storing big data sets on computer clusters using simple programming models.

Hadoop is a highly scalable platform. It can store and easily distribute very large data sets over hundreds of servers.

Hadoop services have it all: data storage, data processing, governance, operations, and security.

Some of the biggest benefits of Hadoop are:

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  • Scalable software platform – you are able to store, manage, and analyze data at very big scale.
  • Flexibility – you can store data in any format (including structured and unstructured data) to gather value from that data.
  • Low cost – Hadoop is open source tool and works on low-cost commodity hardware.
  • Fast – you get fast data processing and when you are dealing with a large amount of unstructured data, Hadoop is absolutely able to successfully process terabytes in minutes.
  • Reliability


Website: http://hadoop.apache.org/

4. Cloudera

When it comes to top big data tools and software solutions, Cloudera definitely has a place here. Cloudera is one of the hottest companies that develop modern big data tools.

Actually, Cloudera offers a commercial version of Hadoop. As we mentioned above Hadoop is a free and an open-source big data tool to store large amounts of data. However, Hadoop free version is complicated to use.

Thus, Cloudera has developed much easier versions of Hadoop. Moreover, Cloudera is known as the world’s easiest, fastest, and most secure Apache Hadoop software platform.


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  • Intuitive interface – the tool is very easy to install, manage, and maintain.
  • Scalable and flexible architecture that allows businesses to store and analyze unlimited amounts and types of data.
  • Fast process – quickly integrate with existing systems to move data into and out of Hadoop and quickly transform complex data.
  • Security, governance, and management functions.
  • The easiest way to administer Hadoop.


Website: https://www.cloudera.com

Data Cleaning:

5. DataCleaner

DataCleaner is recognized as one of the best data cleansing tools out there.

It is an on-premise software solution that allows you to detect duplications, monitor data health, and analyze data to see if it covers the data quality metrics.

Within no time, you can find missing values, patterns, and data characteristics. DataCleaner also provides data management and data warehousing solutions.

Key benefits and features:

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  • Fast – profiles and analyzes databases within minutes.
  • Detect duplicates using fuzzy logic.
  • Data standardization and cleansing feature to handle both small and big data.
  • Data health monitoring.
  • Discover patterns in your textual data.


Website: https://datacleaner.org/

6. OpenRefine

If you are searching for open source big data tools for cleansing that can work easily with messy data, OpenRefine could be your answer. You can explore large datasets and normalize data with ease.

This powerful tool can help you seamlessly transforming data from one format into another. And you can extend it with very different web services and external data.

Key benefits and features:

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  • Easy to use and user-friendly
  • Dedicated to cleaning very messy data
  • Explore large data sets very quickly
  • Open source software solution
  • Large community and contributors that permanently make the tool better and better.


Data Integration:

7. Pentaho Data Integration

Pentaho is one of the world-famous big data integration and data mapping tools. It is for preparing and blending data to build a full picture of your business that drives valuable and actionable insights.

The Platform has a smart and powerful architecture that is quite easy to use and extremely flexible.

You can ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate complexity, Pentaho easily puts all data sources at your disposal.

Key features and benefits:

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  • Ease of use with an intuitive drag-and-drop data integration.
  • Integrate all data – from flat files and RDBMS to Hadoop and beyond.
  • Big data integration with no coding required.
  • Visually explore data in-line at every step of the data pipeline.
  • Enterprise platform to accelerate the data pipeline and to go beyond standard ETL.


Website: http://www.pentaho.com/

8. Talend Big Data Integration

Known as a great tool for the price, Talend big data integration has proven to be a robust solution for many business needs.

Talend automates and simplifies big data integration with graphical tools and wizards that generate native code. Practically, this allows your team to start working with Apache Hadoop, Apache Spark, Spark Streaming, and NoSQL databases, for cloud or on-premises today.

Talend Integration solution goes by 3 offers: 1. Open Studio for Big Data – open source solution, 2. Big Data Platform, and 3. Real-Time Big Data Platform.

Key benefits and features:

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  • A simple design interface
  • Open source components
  • Simplify ETL & ELT for big data
  • Data integration and data quality platform built on Spark for cloud and on-premises
  • Real-time and IoT analytics


Website: https://www.talend.com/

Data Visualization:

9. Tableau

When it comes to best big data tools for visualization, Tableau has a lot to show. This business intelligence (BI) and analytics solution offers a range of integrated products to help you visualize and gather meaningful insights of your big data.

One of the best strengths of Tableau is the capability to perform complex big data visualization in a very intuitive manner. Also, the data visualization can surprise you with its interactive nature.

The solution is available as Tableau Desktop, Tableau Server, and Tableau Online.

Key benefits and features:

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  • Fast and easy.
  • Create and share data insights across your company in minutes.
  • Interactive data visualizations and dashboards.
  • Reliable, secure, and always up-to-date.
  • Explore, analyze, and visualize with ease.
  • Excellent mobile support.
  • Low-cost solution.


Website: https://www.tableau.com/

10. Datawrapper

At least but not last in our list of the top big data tools, is Datawrapper. It is a user-friendly web tool that allows you to transform numerical big data from CSVs, PDFs, and web sources to graphs and charts.

You need just to upload your data and then easily create and publish charts and maps.

In addition, Datawrapper is trusted by some of best news organizations in the world such as The Washington Post, The Wall Street Journal, BuzzFeed, and Twitter.

Key benefits and features:

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  • Extremely fast and easy tool to create interactive charts.
  • Full chart styling customization (fonts, colors, etc.)
  • You can feed Datawrapper with any data from Excel, CSVs, PDFs or the web.
  • Stunning graph and maps templates.
  • Graphs can be easily embedded into any website or CMS.


Website: https://www.datawrapper.de/

What are your favorite big data tools? Share your experience in the field below.

One Response

  1. Martin

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