MarkLogic Improves Automation, Secure Data Integration in NoSQL DB

NoSQL database adds a smart data hub framework, support for Docker containers and improved data integration in 9.0-5 version.

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MarkLogic, the de facto standard-bearer of the enterprise NoSQL database market, on May 16 released v9.0-5 of its product that the company claims has significantly improved automation, security and management functions.

MarkLogic 9.0-5 provides enterprises with greater security out-of-the-box, enhanced facilities for mission-critical operations and workload management and major improvements to MarkLogic’s open source, fully supported Data Hub Framework, the company said.

Not every enterprise needs a big, bulky relational database. MarkLogic develops and provides services for its alternative database to the big relational ones that Oracle, IBM, SAP, Microsoft SQL, Software AG, Teradata and others built years ago and that require a lot of supervision and maintenance. Most are decades-old databases that rely on often slow-moving, time-consuming ETL (extract, transform and load) tools to integrate data from silos.

MarkLogic navigates data lakes of unstructured data but also handles structured data. MarkLogic 9.0-5 is aimed at improving performance in three main focus areas: data integration from silos, data manageability and security. Sounds simple, but all of these things are hard to do well. 

Notable new features in MarkLogic 9.0-5 include:

  • A smarter Data Hub Framework (DHF): The DHF, a reference framework for building centralized data hubs, now comes pre-installed with MarkLogic for an easy developer experience. Several enhancements to its core modules make it easier for developers and architects to orchestrate data ingestion and data curation within the data hub. A new streamlined API will also make building data hubs simpler, while numerous data ingestion and performance enhancements make operations faster and more secure, the company said. MarkLogic 9.0-5 also includes enhancements to search, SQL and semantics to make content-aware data access within the data hub easier to handle.
  • Ontology-driven entity extraction: Continuing the process of making MarkLogic semantically aware of your data, MarkLogic 9.0-5 introduces ontology driven entity extraction. This feature allows for the identification of key concepts in unstructured data, extracting them or marking them up in place. The result is improved search results, automated metadata tagging, enhanced governance and more.
  • More secure and streamlined cloud deployments: MarkLogic 9.0-5 improves cloud data security by connecting MarkLogic’s advanced encryption features to native Amazon Web Services key management services, creating a high standard of database encryption in the cloud. New customer support for Amazon Virtual Private Cloud (Amazon VPC) with new cloud formation templates ensures the most secure deployments. In addition, a new Configuration Management API within MarkLogic 9.0-5 will simplify complex data operations in order to enable a self-service model for cloud deployments, the company said.
  • More agile, secure operations and workload management: With production support for Docker  containers, MarkLogic 9.0-5 increases data portability and agility, while enhancing capabilities for workload management, the company said.

“These new features and tools provide developers, cloud architects and IT operators with a greater ability to integrate their data, build new applications and leverage a 360-degree view of data,” Executive Vice-President and Head of Products Joe Pasqua said in a media advisory from the San Carlos, Calif.-based company.

For MarkLogic 9.0-5 release notes, go here.  For more information on the MarkLogic Operational Data Hub Framework, go here.

Chris Preimesberger

Chris J. Preimesberger

Chris J. Preimesberger is Editor of Features & Analysis at eWEEK, responsible in large part for the publication's coverage areas. In his 12 years and more than 3,900 stories at eWEEK, he...