Oracle Releases NoSQL Database

Oracle has released Oracle NoSQL Database 11g, the company's new entry into the NoSQL database market. Oracle NoSQL Database is a distributed, highly scalable, key-value database that uses the Oracle Berkeley Database Java Edition as its underlying storage system. Developed as a key component of the Oracle Big Data Appliance that was unveiled Oct. 3, Oracle NoSQL Database is available now as a standalone product.

Oracle NoSQL Database is intended to help organizations manage massive amounts of data with dynamic schemas, such as Web log data, sensor and smart meter data, data gathered for personalization, and data maintained by social networks. Oracle touted the simple key-value data model as ideally suited for rapid development and deployment of applications because the format is simple and flexible. "As customers look to manage the huge explosion in data from new and evolving sources, such as Web, sensors, social networks, and mobile applications, Oracle is helping them unlock the value of this data by providing a highly-available, reliable, and scalable NoSQL database environment," said Andrew Mendelsohn, senior vice president, Oracle Server Technologies.

Key features of Oracle NoSQL Database 11g include:

  • Pure Java-based implementation and Java API with simple Put, Delete, and Get operations;
  • Key-value pair data structure with keys composed of major and minor keys represented as a string and an associated value represented as an opaque set of bytes;
  • Bounded latency through B-tree caching and efficient query dispatching;
  • Ability to store billions of records and multi-terabytes of data;
  • ACID (Atomic, Consistent, Isolated, Durable)-compliant transactions that are configurable globally and per operation;
  • Simplified installation, configuration, and administration;
  • Replication for high availability, fault tolerance, fail-over, and read-scalability;
  • Dynamic partitioning ("sharding");
  • Ability to scale out to thousands of nodes;
  • Transparent load balancing;
  • Node-level backup and restore;
  • Highly tuned memory management; and
  • Web console or command line interface for administration.

Oracle NoSQL Database will be available in a Community Edition through an open source license and an Enterprise Edition through an Oracle Technology Network (OTN) license. The Community Edition is still awaiting final licensing approval, but the Enterprise Edition is available now for download from the Oracle Technology Network.

About the Author

Leila Meyer is a technology writer based in British Columbia. She can be reached at [email protected].

Featured

  • illustration of a futuristic building labeled "AI & Innovation," featuring circuit board patterns and an AI brain motif, surrounded by geometric trees and a simplified sky

    Cal Poly Pomona Launches AI and Innovation Center

    In an effort to advance AI innovation, foster community engagement, and prepare students for careers in STEM fields and business, California State Polytechnic University, Pomona has teamed up with AI, cloud, and advisory services provider Avanade to launch a new Avanade AI & Innovation Center.

  • black graduation cap with a glowing blue AI brain circuit symbol on top

    Report: AI Is a Must for Modern Learners

    A new report from VitalSource identifies a growing demand among learners for AI tools, declaring that "AI isn't just a nice-to-have; it's a must."

  • glowing shield hovers above a digital cloud platform with abstract data streams and cloud icons in the background

    Google to Acquire Cloud Security Firm Wiz

    Google has announced it will acquire cloud security startup Wiz. If completed, the acquisition — an all-cash deal valued at $32 billion — would mark the largest in Google's history.

  • digital dashboard featuring a shield icon, graphs, a world map, and network nodes

    IBM Introduces Agentic AI Governance and Security Platform

    IBM has launched a new software stack for enterprise IT teams tasked with managing the complex governance and security challenges posed by autonomous AI systems.