Arcadia Data Launches Visual Analytics Platform Native to Cloudera Enterprise

Arcadia Data, a provider of visual analytics software, has added new native integration features for Arcadia Enterprise and Cloudera Enterprise to deliver a real-time, Hadoop-native analytics platform.

Directly integrated with Cloudera Manager and with new support for Apache Kudu and Cloudera Search, users will now have access to data-native architecture that enables both real-time dashboards and rich data visualization for large-scale, big data uses cases such as IoT data, spanning cloud, on-premises, and hybrid deployments.

Arcadia’s visual analytics platform enables Cloudera customers to have a seamless way to quickly analyze massive datasets and drill down at a granular level without the need to move data, said Charles Zedlewski senior vice president of products at Cloudera. The native integration with Cloudera’s security and management offerings simplifies use and accelerates time to value by delivering meaningful real-time insights in the era of big data.

Key benefits of the native integration with Cloudera are unified real-time visual insights from streaming data with historical data discovery in a single view made to enhance productivity for business analysts; integrated security native to Apache Sentry that eliminates the need for multiple security configurations across disparate BI tools; and simplified cluster deployments with Cloudera Manager and Cloudera Navigator to provide audit transparency into any and all data types and analytic operations at scale used for visualizations.

According to Arcadia, organizations today are challenged by legacy BI and data visualization tools that only analyze a sub-segment of big data extracted from Hadoop and are delayed by batch updates. As a result, business insights are stalled in multiple areas of the discovery process as storage, compute, and visualization tools are fragmented, costly, and cumbersome to manage. The integration of Arcadia Enterprise with Cloudera's modern data platform is intended to offer a single solution that combines multi-source streaming and visualization of historical and unstructured data into the same visual analytics platform, by integrating next-gen data management tools such as Apache HBase, Apache Kudu, Cloudera Search, Apache Spark Streaming, Apache Impala, and Apache Solr for faster insights and ease of use.

Cloudera customers will be able to leverage all of the major next-generation data management tools, such as Apache Spark, Apache Impala, Apache Kudu, and others, and analysts and data scientists can be up and running in under 30 minutes, added Priyank Patel, co-founder and chief product officer at Arcadia Data.

To learn more, visit Arcadia at and  


Subscribe to Big Data Quarterly E-Edition