Sqrrl Announces General Availability of its Secure Big Data Platform, Sqrrl Enterprise

June 19, 2013

Enhancements to Sqrrl Enterprise´s Best-in-Class Security, Analytical, and Ease-of-Use Features for its Big Data Platform Powered By Apache Accumulo and Hadoop.

Cambridge, MA (PRWEB) June 19, 2013

Sqrrl, the company that develops secure database software to power Big Data applications, is now shipping Version 1.1 of Sqrrl Enterprise. Sqrrl Enterprise is the world´s most secure and scalable Big Data platform for building real-time analytical applications. With Version 1.1 Sqrrl Enterprise moves from Limited Release to General Availability and delivers more advanced security tools, enhanced analytic capabilities, and a variety of additional features.

Sqrrl Enterprise utilizes Apache Accumulo technology to deliver the only Big Data platform with cell-level security capabilities. Cell-level security enables Sqrrl customers to tag every piece of data with fine-grained security labels that dictate access to the data. This cell-level security capability makes Sqrrl Enterprise a powerful solution for industries with sensitive data, such as finance, telecommunications, healthcare, energy, and government.

“Our customers demand enterprise-class security for their mission-critical applications,” said Mark Terenzoni, CEO of Sqrrl. “In Version 1.1 of Sqrrl Enterprise we have extended the rich security capabilities of Apache Accumulo, while also adding additional developer tools that make building real-time analytical applications easier.”

Increased Security — Version 1.1 adds encryption of data-at-rest and data-in-motion; as well as improved cell-level security capabilities, including integration with Active Directory, Kerberos and LDAP (Lightweight Directory Access Protocol). Version 1.1 also features auditing capability for all transactions within Sqrrl Enterprise.

Enhanced Analytics — Sqrrl Enterprise provides developers with a rich set of discovery analytics that can power real-time Big Data applications (aka “Big Apps”). These capabilities include full-text search via Apache Lucene, SQL, statistics, and graph search. All of these analytical features have tight integration with Sqrrl Enterprise´s cell-level security capabilities.

Ease-of-use — Version 1.1 adds document store capabilities by providing full JavaScript Object Notation (JSON) document support. Sqrrl Enterprise converts Accumulo´s key/value pairs into hierarchical JSON documents to simplify data models and structures. Version 1.1 also adds streaming ingest, improved installation tools and command-line shells, and configurable indexing.

“Developing Big Data applications is complicated and Sqrrl Enterprise substantially simplifies application development for emerging large scale apps,” says Wikibon chief analyst David Vellante. “Wikibon practitioners are excited about Sqrrl toolsets because they enable organizations to co-mingle sensitive datasets on a single Big Data platform through fine-grained cell-level security controls. Scale, performance, security and flexibility will define the next wave of Big Data application development, and companies like Sqrrl are leading the way.”

Sqrrl Enterprise is currently deployed at organizations in the Government, Financial Services, Healthcare, Telecommunications, and Academia sectors, providing solutions for secure data stores, secure search, and real-time analytics applications. One of the most popular use cases for Sqrrl Enterprise is using it as a platform for Big Data Security Analytics.

Big Data Security Analytics Use Case

Cybersecurity professionals are building Big Data Security Analytics apps with Sqrrl Enterprise. These apps are designed to continuously ingest and store petabytes of cybersecurity data, such as log and event files, Netflow data, emails, social activity, identity context information, and threat intelligence. The amount and variety of this data would overwhelm a traditional Security Information and Event Management (SIEM) tool. Sqrrl Enterprise augments SIEM capabilities by supporting retrospective analysis over years of multi-structured historical data. Using Sqrrl Enterprise´s analytical building blocks, Sqrrl customers are rapidly building secure, lightweight apps to interrogate or “swim through” all of this data in real-time.

About Sqrrl

Headquartered in Cambridge, MA, Sqrrl was founded by former computer scientists from the National Security Agency (NSA). As part of the team that created Apache Accumulo, Sqrrl founders have been working with some of the largest, most complex and most sensitive data sets in the world. Today, Sqrrl Enterprise is the world´s most secure and scalable Big Data platform for building real-time analytical applications. It is the only Big Data solution that possesses fine-grained security controls, scales elastically to tens of petabytes of data, and supports a diverse set of analytics, including graph, SQL, statistics, and full-text search. As creators and developers of Accumulo, Sqrrl’s understanding of security and Big Data technologies enable organizations to securely unlock the potential of Big Data. Learn more at http://www.sqrrl.com.

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Source: prweb

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