Platfora is the #1 Big Data Analytics platform built natively on Hadoop and Spark. Platfora enables business users and data scientists to visually interact with petabyte-scale data in seconds, allowing them to work with even the rawest forms of transaction, customer interaction and machine data to find new opportunities and manage risk.

Tags:
  • Data Analytics
  • Data Ingestion


Qlik® is a data visualization platform empowering everyone to create and interact with flexible visualizations, driving data discovery through intuition.

Tags:
  • Data Analytics
  • Data Ingestion
  • SQL


RainStor is an analytical archiving application for structured data, which runs natively on Hadoop. RainStor stores its archived data directly on HDFS in a highly compressed form, using its own file format. The platform supports direct access to the data via SQL.

Tags:
  • Data Analytics
  • Data Management
  • SQL


RedPoint Data Management™ is a Single Data Management Application that Spans Hybrid Environments Including Hadoop® to Integrate Data and Gain Insights.

Tags:
  • Data Ingestion
  • Data Management


Reifier helps make better business decisions through better data.

Tags:
  • Data Analytics
  • Data Ingestion
  • Data Management
  • Machine Learning


Revelytix’ Loom provides metadata management and data preparation for Hadoop. The core of Loom is an extensible metadata repository for managing business and technical metadata, including data lineage, about all data in Hadoop and surrounding systems.

Tags:
  • Data Management


Offering high-performance, scalable, enterprise-capable analytics, Revolution R Enterprise supports a variety of analytical capabilities including exploratory data analysis, model building and model deployment.

Tags:
  • Data Analytics
  • Machine Learning
  • Open Source


SAP Lumira enables business users to analyze data and get unique insight in real time using the latest visualization technologies. Discover how the software quickly processes large volumes of data and reduce time to insight.

Tags:
  • Data Analytics
  • SQL


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