Following is a handpicked list of Best Big Data Analytics Tools, with popular features and latest download links. The list contains both open-source(free) and commercial(paid) software.
Top Big Data Tools (Big Data Analytics Tools): Free & Paid
1) Atlas.ti
Atlas.ti is all-in-one research software. This big data analytic tool gives you all-in-one access to the entire range of platforms. You can use it for qualitative data analysis and mixed methods research in academic, market, and user experience research.
Features:
You can export information on each source of data. It offers an integrated way of working with your data. Allows you to rename a Code in the Margin Area Helps you to handle projects that contain thousands of documents and coded data segments. Supported platforms: Mac, Windows, Web, Mobile App Support: Live Chat, Email Free Trial: Use free up to 5 day within a 90-days period
Visit Atlas.ti » 5-Day Free Trial
2) Analytics
Analytics is a tool that provides visual analysis and dashboarding. It allows you to connect multiple data sources, including business applications, databases, cloud drives, and more.
Features:
Offers visual analysis and dashboarding. It helps you to analyze data in depth. Provides collaborative review and analysis. You can embed reports to websites, applications, blogs, and more. Support: Live Chat, Email, Online Form Free Trial: 15-Day Free Trial (No credit card required)
Link: https://www.zoho.com/analytics/big-data.html
3) Microsoft HDInsight
Azure HDInsight is a Spark and Hadoop service in the cloud. It provides big data cloud offerings in two categories, Standard and Premium. It provides an enterprise-scale cluster for the organization to run their big data workloads.
Features:
Reliable analytics with an industry-leading SLA It offers enterprise-grade security and monitoring Protect data assets and extend on-premises security and governance controls to the cloud High-productivity platform for developers and scientists Integration with leading productivity applications Deploy Hadoop in the cloud without purchasing new hardware or paying other up-front costs Support: Email, Online Form Free Trial: Free $200 credit to use in 30 days
Visit HDInsight » Free $200 credit to use in 30 days
4) Skytree
Skytree is one of the best big data analytics tools that empowers data scientists to build more accurate models faster. It offers accurate predictive machine learning models that are easy to use.
Features:
Highly Scalable Algorithms Artificial Intelligence for Data Scientists It allows data scientists to visualize and understand the logic behind ML decisions Skytree via the easy-to-adopt GUI or programmatically in Java Model Interpretability It is designed to solve robust predictive problems with data preparation capabilities Programmatic and GUI Access Support: Via Phone, Letter, Email Free Trial: Not Available
Download link: https://www.skytree.net/
5) Talend
Talend is a big data analytics software that simplifies and automates big data integration. Its graphical wizard generates native code. It also allows big data integration, master data management and checks data quality.
Features:
Accelerate time to value for big data projects Simplify ETL & ELT for big data Talend Big Data Platform simplifies using MapReduce and Spark by generating native code Smarter data quality with machine learning and natural language processing Agile DevOps to speed up big data projects Streamline all the DevOps processes Support: Live Chat, Email, Online Form Free Trial: Free Basic Version
Download Link: https://www.talend.com/products/talend-open-studio/
6) Splice Machine
Splice Machine is one of the best big data analytics tools. Their architecture is portable across public clouds such as AWS, Azure, and Google.
Features:
It is a big data analytics software that can dynamically scale from a few to thousands of nodes to enable applications at every scale The Splice Machine optimizer automatically evaluates every query to the distributed HBase regions Reduce management, deploy faster, and reduce risk Consume fast streaming data, develop, test and deploy machine learning models Support: Email, Online Form Free Trial: Community Free Version
Download link: https://splicemachine.com/
7) Spark
Apache Spark is one of the powerful open source big data analytics tools. It offers over 80 high-level operators that make it easy to build parallel apps. It is one of the open source data analytics tools used at a wide range of organizations to process large datasets.
Features:
It helps to run an application in Hadoop cluster, up to 100 times faster in memory, and ten times faster on disk It is one of the open source data analytics tools that offers lighting Fast Processing Support for Sophisticated Analytics Ability to Integrate with Hadoop and Existing Hadoop Data It is one of the open source big data analytics tools that provides built-in APIs in Java, Scala, or Python Support: Email Free Trial: Free Version
Download link: https://spark.apache.org/downloads.html
8) Plotly
Plotly is one of the big data analysis tools that lets users create charts and dashboards to share online.
Features:
Easily turn any data into eye-catching and informative graphics It provides audited industries with fine-grained information on data provenance Plotly offers unlimited public file hosting through its free community plan Support: Email, Online Form Free Trial: Free Basic Version
Download link: https://plotly.com/
9) Apache SAMOA
Apache SAMOA is a big data analytics tool. It is one of the big data analysis tools which enables development of new ML algorithms. It provides a collection of distributed algorithms for common data mining and machine learning tasks.
Features:
Pluggable architecture that allows it to run on several DSPEs Support: Email Free Trial: Free
Download link: https://incubator.apache.org/projects/samoa.html
10) Elasticsearch
Elasticsearch is a JSON-based Big data search and analytics engine. It is a distributed, RESTful search and analytics engine for solving numbers of use cases. It is one of the big data analysis tools that offers horizontal scalability, maximum reliability, and easy management.
Features:
It allows combine many types of searches such as structured, unstructured, geo, metric, etc Intuitive APIs for monitoring and management give complete visibility and control It uses standard RESTful APIs and JSON. It also builds and maintains clients in many languages like Java, Python, NET, and Groovy Real-time search and analytics features to work big data by using the Elasticsearch-Hadoop It gives an enhanced experience with security, monitoring, reporting, and machine learning features
Download link: https://www.elastic.co/downloads/elasticsearch
11) R-Programming
R is a language for statistical computing and graphics. It also used for big data analysis. It provides a wide variety of statistical tests.
Features:
Effective data handling and storage facility, It provides a suite of operators for calculations on arrays, in particular, matrices, It provides coherent, integrated collection of big data tools for data analysis It provides graphical facilities for data analysis which display either on-screen or on hardcopy
Download link: https://www.r-project.org/
12) IBM SPSS Modeler
IBM SPSS Modeler is a predictive big data analytics platform. It offers predictive models and delivers to individuals, groups, systems and the enterprise. It is one of the big data analysis tools which has a range of advanced algorithms and analysis techniques.
Features:
Discover insights and solve problems faster by analyzing structured and unstructured data It has data analysis systems that use an intuitive interface for everyone to learn You can select from on-premises, cloud and hybrid deployment options It is a big data analytics software that quickly chooses the best performing algorithm based on model performance
Download link: https://www.ibm.com/products/spss-modeler/pricing
FAQ
✅ What is Big Data?
Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size.
❓ What is Big Data Tools?
✅ Which are the Best Big Data Analytics Tools?
🏅 Which factors should you consider while selecting a Big Data Tool?
You should consider the following factors before selecting a big data tool
Atlas.ti Analytics Microsoft HDInsight Skytree Talend Splice Machine Spark
