Best Big Data Infrastructure Products in 2025

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Key Amazon EMR features:

Scalability Cost-effectiveness Ease of Use Managed Service

Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI.

Key Grapple features:

Automatic Data Refresh Universal Data Library Natural Language Map Data

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SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Key Apache Spark features:

Speed Ease of Use Advanced Analytics Scalability

Open Source

Azure HDInsight is an Apache Hadoop distribution powered by the cloud.

Key Microsoft Azure HDInsight features:

Scalability Integration Open Source Ecosystem Managed Service

Hadoop-Related.

Key Hortonworks features:

Open Source Model Integration with Apache Hadoop Enterprise-Grade Support Wide Ecosystem Support

Fujitsu Symfoware Analytics Server is a high-performance database software that is designed for use with data warehouses.

Apache AsterixDB is a scalable, open source Big Data Management System.

Bit Refinery is an enterprise VMware and Big Data hosting provider.

GridDB is a database that offers both speed and scaling for mission critical big-data applications.

Open Source

ClusterGX vAppliance platform offers discrete components for end-to-end big data solutions.

Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

Open Source

Voldemort is a distributed data store that is designed as a key-value store.

Open Source

Open-source software for reliable, scalable, distributed computing.

Key Hadoop features:

Scalability Cost-Effective Fault Tolerance Flexibility

Open Source