Organizations can combine easier analytics with easier Big Data platform
Piscataway, NJ - January 13, 2015 - InetSoft Technology, a pioneer in mashup-driven Big Data analytics and reporting, has announced that its Style Intelligence business intelligence application has been certified on Apache Spark by Databricks. This certification opens an obstacle-free path for organizations who wish to deploy a very fast and powerful open source processing engine for Hadoop data in conjunction with a self-service oriented application for creating interactive visual analyses.
Apache Spark is a powerful open source processing engine for Hadoop data built around speed, ease of use, and sophisticated analytics. It was originally developed in 2009 in UC Berkeley's AMPLab, and open sourced in 2010.
In subsequent years it has seen rapid adoption, used by enterprises small and large across a wide range of industries. It has become one of the most actively developed open source projects with over 465 contributors in 2014, making it the most active project in the Apache Software Foundation and among Big Data open source projects.
Spark enables applications in Hadoop clusters to run up to 100x faster in memory, and 10x faster even when running on disk.
"We are thrilled to announce the certification of the InetSoft platform. With the increasing demand for agile and robust business intelligence solutions, enterprises using Spark can leverage a BI platform with proven experience across verticals to deploy or embed full-featured business intelligence solutions," said John Tripier, Alliance and Ecosystem lead at Databricks.
"It's a natural combination of technologies for taking advantage of Big Data opportunities," comments Mark Flaherty, Chief Marketing Officer at InetSoft. "Spark reduces the complexities around making Big Data usable, and InetSoft's Style Intelligence reduces the complexities around performing and sharing analytics."
Style Intelligence is a full-featured business intelligence solution for Big Data analytics and dashboarding that includes a powerful data mashup engine. End-users get visually compelling, highly interactive access to data, and IT gets a highly customizable, easy to learn and quick to deploy business intelligence toolset and information delivery platform. Data mashup capabilities allow for the integration of disparate data sources, enabling agile development and providing maximum self-service, while the application's SOA architecture and open standards-based technology make for an ideal embedding and integration-ready application for dashboards, production reporting, and visualization.
To learn more about InetSoft's Style Intelligence, view a demo, or read customer reviews, please visit https://www.inetsoft.com/evaluate.
Since 1996, InetSoft has been delivering easy, agile, and robust business intelligence software that makes it possible for organizations and solution providers of all sizes to deploy or embed full-featured business intelligence solutions. Application highlights include visually-compelling and interactive dashboards that ensure greater end-user adoption, plus pixel-perfect report generation, scheduling, and bursting. InetSoft's patent pending Data Block technology enables productive reuse of queries and a unique capability for end-user defined data mashup. This capability, combined with efficient information access enabled by InetSoft's visual analysis technologies, allows a maximum degree of self-service that benefits the average business user, the IT administrator, and the developer. InetSoft solutions have been deployed at over 3,000 organizations worldwide, including 25% of Fortune 500 companies, spanning all types of industries.
Databricks was founded by the team that created and continues to drive Apache Spark, the most active open source project in the Big Data ecosystem. Databricks' vision is to dramatically simplify big data processing and free users to focus on turning data into value. Databricks Cloud, a cloud platform built around Apache Spark, delivers on this vision by combining the power of Spark with a zero-management hosted platform and an initial set of applications built around common workflows. Databricks is venture-backed by Andreessen Horowitz and NEA. For more information, visit http://www.databricks.com/product.