SAN FRANCISCO, CA — (Marketwired) — 06/15/15 — , developers of the world–s fastest visual analytics solution for big data, today announced its integration with Databricks, a high performance cloud data platform. This tightly integrated solution enables customers to upload data and automatically visualize it in Zoomdata. As the first native business intelligence application on the Databricks platform, Zoomdata gives enterprise business units access to the power of Big Data visual analytics without hiring teams of dedicated business intelligence and data science experts.
Sign up for a free trial of Zoomdata and Databricks here and visit Zoomdata at the at Booth B4 to see a demo of Zoomdata on Databricks.
“By partnering with Databricks, we–re making Spark easy for the most demanding big data visualization and analytics projects,” said Justin Langseth, CEO of Zoomdata. “We–ve automated all of the backend configuration requirements. Just upload your data into the Spark cluster and run Zoomdata for exploration, visualization and analytics and get results in seconds.”
The need to visualize and analyze big data faster has driven developer interest in Apache Spark as an alternative to MapReduce. Spark recently (in 2014) became a top-level project for Apache, and has achieved rapid adoption. In of more than 2,100 developers globally, researchers found that 13% of developers were already using Spark in production, another 20% were planning production usage in 2015, and 31% are actively evaluating it. But a major obstacle to Spark adoption has been a developer skills gap. Developers new to Spark can find it difficult to configure and scale Spark across clusters of machines on premise or in a data center.
Databricks, founded by creators and the company behind of Spark, is dedicated to making big data simple. Databricks Cloud provides a unified framework for building data pipelines on a zero-management cloud platform built around Spark. It offers fully-managed Spark clusters, an interactive workspace for to import data from disparate sources, a production pipeline scheduler and an easy way to power any Spark-driven application. Launch, dynamically scale up or down, and terminate Spark clusters with just a few clicks.
“Commonly known as the best way to deploy Spark, the ease of use behind the Databricks platform opens up data exploration to team members outside of the data scientist,” said Arsalan Tavakoli-Shiraji, vice president of customer engagement and business development at Databricks. “Databricks and Zoomdata have been collaborating for more than a year to design a solution that makes complex data visualization and analytics accessible and seamless.”
To take advantage of the Databricks and Zoomdata free trial offer for an unlimited number of users, visit .
Zoomdata, developers of the world–s fastest visual analytics for big data, is built from scratch for speed as a modern, cloud-scale application. Easy to use for business analysts who are not BI or data science experts, it can be embedded seamlessly in other applications. Its patented micro-query architecture delivers results on billions of records in seconds and gives users a single plane of access for bridging old data and new data. Zoomdata is backed by Accel Partners, NEA, and Columbus Nova Technology Partners. For more information, visit:
Lonn Johnston for Zoomdata
+1 650.219.7764
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