Big Data Infrastructure Software
The best Big Data Infrastructure Software based on votes, our collection of reviews, verified products and a total of 180 factors
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Qrvey - All-in-one embedded analytics platform purpose-built for SaaS providers living in the AWS ecosystem
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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.
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Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
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Featured
All-in-one embedded analytics platform purpose-built for SaaS providers living in the AWS ecosystem
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Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
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A fully managed data warehouse for large-scale data analytics.
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Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.
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BlueData's software platform makes it easier, faster and more cost-effective for organizations to deploy Big Data infrastructure on-premises.
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Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
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Fujitsu Symfoware Analytics Server is a high-performance database software that is designed for use with data warehouses.
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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.
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Hadoop-Related
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Apache AsterixDB is a scalable, open source Big Data Management System.
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Pepperdata's software runs on existing Hadoop clusters to give operators predictability, capacity, and visibility for their Hadoop jobs.
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Azure HDInsight is an Apache Hadoop distribution powered by the cloud.