15) Big Data Analytics Tools

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

Download link: https://azure.microsoft.com/en-in/free/

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3) Skytree:

Skytree is a big data analytics tool 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

Download link: http://www.skytree.net/

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4) Talend:

Talend is a big data tool 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

Download Link: https://www.talend.com/download/

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5) Splice Machine:

Splice Machine is a big data analytic tool. Their architecture is portable across public clouds such as AWS, Azure, and Google.

Features:

• It 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

Download link: https://splicemachine.com/

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6) Spark:

Apache Spark is a powerful open source big data analytics tool. It offers over 80 high-level operators that make it easy to build parallel apps. It is 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 offers lighting Fast Processing
• Support for Sophisticated Analytics
• Ability to Integrate with Hadoop and Existing Hadoop Data
• It provides built-in APIs in Java, Scala, or Python

Download link: https://spark.apache.org/downloads.html

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7) Plotly:

Plotly is an analytics tool 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

Download link: https://plot.ly/

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8) Apache SAMOA:

Apache SAMOA is a big data analytics tool. It enables development of new ML algorithms. It provides a collection of distributed algorithms for common data mining and machine learning tasks.

Download link: https://samoa.incubator.apache.org/

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9) Lumify:

Lumify is a big data fusion, analysis, and visualization platform. It helps users to discover connections and explore relationships in their data via a suite of analytic options.

Features:

• It provides both 2D and 3D graph visualizations with a variety of automatic layouts
• It provides a variety of options for analyzing the links between entities on the graph
• It comes with specific ingest processing and interface elements for textual content, images, and videos
• It spaces feature allows you to organize work into a set of projects, or workspaces
• It is built on proven, scalable big data technologies

Download link: http://www.altamiracorp.com/index.php/lumify/

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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 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

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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/

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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 has a range of advanced algorithms and analysis techniques.

Features: