DataStax Raises $45 million for Big Databases

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DataStax raises $45 million to expand its product development and channel growth, Cloudera adds an Apache security module for Hadoop, and Univa and MapR partner on enterprise-grade workload management for Hadoop.

DataStax raises $45 million. DataStax announced the completion of a $45 million series D funding round led by Scale Venture Partners with participation from existing investors Lightspeed Venture Partners, Crosslink Capital and Meritech Capital Partners, and new investors DFJ Growth and Next World Capital. DataStax will use the investment to further its international expansion, channel growth and product development. “The evolution of enterprise applications and rise of big data has eclipsed traditional database capabilities and provides an opening for a significant new market entrant,” said Andy Vitus, partner, Scale Venture Partners. “DataStax is poised to disrupt the traditional RDBMS market and has already demonstrated significant momentum – signing an enviable list of enterprise customers, expanding into Europe, and unveiling innovative releases that make the product easier to adopt, deploy, and manage. We look forward to working with the team to further accelerate their expansion as they address this large and growing market.”

Cloudera adds Security Module for Hadoop.  Cloudera announced Sentry – a new Apache licensed open source project that delivers the industry’s first fine-grained authorization framework for Hadoop. To meet enterprise Role Based Access Control (RBAC) requirements of highly regulated industries Sentry is a security module that integrates with open source SQL query engines Apache Hive and Cloudera Impala, delivering advanced authorization controls to enable multi-user applications and cross-functional processes for enterprise datasets. Sentry represents a quantum leap forward for Hadoop and Cloudera’s Platform for Big Data, enabling enterprises in the public and private sectors to now leverage the power of Hadoop and remain compliant with regulatory requirements like HIPAA, SOX and PCI, among others. ”As Hadoop crosses over to the enterprise, it will be expected to deliver the same level of security for protecting sensitive data as any mission-critical data platform,” said Tony Baer, principal analyst at Ovum. “With announcement of Sentry, Cloudera is addressing an important piece of the puzzle, especially with regard to role-based data access privileges below file level for SQL-on-Hadoop paths like Hive and Impala. It is one of the pieces that must fall into place if Hadoop is to fulfill its promise as a powerful extension of analytic computing environments.”

Univa and MapR partner on enterprise-grade workload management. Univa and MapR announced a partnership to integrate Univa Grid Engine with the MapR enterprise platform. The partnership enables customers to leverage the MapR Distribution for Hadoop in conjunction with Univa Grid Engine capabilities of policy control management and infrastructure sharing to run mixed workloads with insightful enterprise reporting and analytics. The partnership matches Univa’s distributed resource management software platform with the MapR enterprise-grade big data platform. The Univa Grid Engine platform combined with the MapR Distribution for Hadoop enables enterprises to deploy a best-in-breed Hadoop solution with enterprise policy controls, such as different end-users securely accessing the cluster to advance fair share rules. ”Univa Grid Engine is already a key product in the Big Data infrastructure mix, but with this partnership we are providing customers with integration capabilities to the unrivaled enterprise-class MapR platform for Hadoop,” said Rahul Jain, VP of Big Data, Univa. “This was a natural marriage as MapR provides the most advanced enterprise-grade capabilities for Hadoop, while Univa operationalizes mission-critical applications in mixed workloads to reach its maximum potential and accelerate Hadoop deployments into production.”

About the Author

John Rath is a veteran IT professional and regular contributor at Data Center Knowledge. He has served many roles in the data center, including support, system administration, web development and facility management.

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