Open-source big data analytics refers to the use of open-source software and tools for analyzing huge quantities of data in order to gather relevant and actionable information that an organization can use in order to further its business goals.

The biggest player in open-source big data analytics is Apache’s Hadoop – it is the most widely used software library for processing enormous data sets across a cluster of computers using a distributed process for parallelism.

Open-source big data analytics makes use of open-source software and tools in order to execute big data analytics by either using an entire software platform or various open-source tools for different tasks in the process of data analytics.

Apache Hadoop is the most well-known system for big data analytics, but other components are required before a real analytics system can be put together.

Best Big Data Analytics Tools

Xplenty:

Xplenty is a data integration platform that requires no coding or deployment. Our Big Data processing cloud service brings immediate results to the entire organization: from designing dataflows to scheduling jobs, Xplenty can process both structured and unstructured data and integrates with a variety of sources, including SQL data stores, NoSQL databases and cloud storage services. Learn more Data Analytics Online Training

Read and process data from relational databases such as Oracle, Microsoft SQL Server, Amazon RDS, PostgreSql. NoSql data stores such MongoDB. Cloud storage file sources such as Amazon S3, and many more.

Xplenty also allows you to connect with online analytical data stores such as AWS Redshift, and Google BigQuery.

Microsoft HDInsight:

Easily run popular open source frameworks—including Apache Hadoop, Spark and Kafka—using Azure HDInsight, a cost-effective, enterprise-grade service for open source analytics. Effortlessly process massive amounts of data and get all the benefits of the broad open source ecosystem with the global scale of Azure.

Quickly spin up big data clusters on demand, scale them up or down based on your usage needs and pay only for what you use.
Meet industry and government compliance standards and protect your enterprise data assets using an Azure Virtual Network, encryption and integration with Azure Active Directory.
Use HDInsight tools to easily get started in your favorite development environment.
HDInsight integrates seamlessly with other Azure services, including Data Factory and Data Lake Storage, for building comprehensive analytics pipelines.

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Talend:

Talend is an open source software platform which offers data integration and data management solutions. Talend specializes in the big data integration. The tool provides features like a cloud, big data, enterprise application integration, data quality, and master data management. It also provides a unified repository to store and reuse the Metadata.

It is available in both open source and premium version. It is one of the best tools for cloud computing and big data integration.

Splice Machine:

Splice Machine, the only Hadoop RDBMS, is designed to scale real-time applications using commodity hardware without application rewrites. The Splice Machine database is a modern, scale-out alternative to traditional RDBMSs, such as Oracle, MySQL, IBM DB2 and Microsoft SQL Server, that can deliver over a 10x improvement in price/performance.

As a full-featured SQL-on-Hadoop RDBMS with ACID transactions, the Splice Machine database helps customers power real-time applications and operational analytics, especially as they approach big data scale.

Plotly:

Plotly’s team maintains the fastest growing open-source visualization libraries for R, Python, and JavaScript.

These libraries seamlessly interface with our enterprise-ready Deployment servers for easy collaboration, code-free editing, and deploying of production-ready dashboards and apps.

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