Big Data Infrastructure Software

The Apache HDFS is a distributed file system that makes it possible to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes.

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

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

A fully managed data warehouse for large-scale data analytics.

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

BlueData's software platform makes it easier, faster and more cost-effective for organizations to deploy Big Data infrastructure on-premises.

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

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

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

Hadoop-Related

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

Pepperdata's software runs on existing Hadoop clusters to give operators predictability, capacity, and visibility for their Hadoop jobs.

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