Solix Technologies is Positioned as a Leader in Gartner’s 2016 Magic Quadrant for Structured Data Archiving and Application Retirement
Santa Clara, CA (PRWEB) June 20, 2016 -- Solix Technologies, Inc., the leading provider of Information Lifecycle Management (ILM) solutions for Apache Hadoop, has been positioned as a leader in Gartner’s June 2016 Magic Quadrant for Structured Data Archiving and Application Retirement. Gartner’s Magic Quadrant is held as the industry’s highest source for company differentiation and market analysis based on completeness of vision and ability to execute.
The 2016 report has also placed Solix in the leaders quadrant for the third consecutive year.
The Gartner report further stated, “By 2018, 80% of structured data archiving vendors will provide integrated support for unstructured content archiving — up from 30% today.
“User access — Structured data archiving can enable access to "warm" and "cold data," meaning that use cases range from "nearline" archiving, where the archived data is viewed through the native application GUI — known as active archiving, as well as access to data from retired applications, often through SQL queries, reports and application GUI mockups. Full text search is another capability in many offerings. Increasingly, support for big data analytics, such as Hive, Spark and Pig, are being added to enterprise buying requirements.”
Joydeep Das, COO at KloudData, Inc., a strategic solutions partner to Solix said, “Solix is the only vendor today that provides comprehensive Information Lifecycle Management (ILM) solutions for the entire enterprise using big data.”
“We are humbled to be recognized for the last three years for what we feel is our continued advancement in Information Lifecycle Management (ILM) solutions and leadership in the market along with our partnerships such as Apache, Cloudera and Hortonworks,” said Sai Gundavelli, Founder and CEO of Solix Technologies, Inc.
Key features of the Solix Big Data Suite 2.2 include:
- Scalability and Performance - Improved performance for SQL based processing using Apache Hadoop and Hive-on-Spark
- Flexibility - Archive any data, both structured and unstructured, into Hadoop
- Access & Security - Role based access control and data masking of sensitive data
- Reduced cost - Low cost, bulk storage for all enterprise data
- Analytics - Text search, query or support enterprise analytics on all enterprise data
- Compliance – ILM policy driven data governance with retention management and legal hold support
To learn more about Solix Big Data Suite, click here.
To download the report, click here.
About the Magic Quadrant
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
About Solix Technologies
Solix Technologies, Inc., the leading provider of Enterprise Data Management solutions helps businesses organize their Enterprise Information with optimized infrastructure, data security and advanced analytics by achieving Information Lifecycle Management (ILM) goals. Solix Big Data Suite offers an ILM framework for Enterprise Archiving and Enterprise Data Lake with Apache Hadoop as an enterprise data repository. The Solix Enterprise Data Management Suite (Solix EDMS) enables organizations to implement Database Archiving, Test Data Management (Data Subsetting), Data Masking and Application Retirement across all enterprise data. Solix Technologies, Inc. is headquartered in Santa Clara, California and operates worldwide through an established network of value added resellers (VARs) and systems integrators. To learn more, please visit http://www.solix.com.
Jessica Hasson, Solix Technologies, http://www.solix.com, +1 (408) 654-6460, [email protected]
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