Objectivity, Inc., a database provider, is releasing a commercial version of InfiniteGraph, a distributed and scalable graph database designed to enable a new, cost effective, and efficient way of navigating multiple types of databases for discovery of deeper and more relevant intelligence, enabling real-time decision support.
DBTA recently presented a webcast to examine the technology behind InfiniteGraph. Hosted by Tom Wilson, president of DBTA and Unisphere Research, "An Introduction to InfiniteGraph, Connecting the Dots to Find Meaning in Big Data" featured presentations by Darren Wood, InfiniteGraph architect and lead developer, and Mark Maagdenberg, InfiniteGraph system engineer, and explore common use cases involving very large-scale graph processing.
InfiniteGraph already has a large following of users within government agencies, Jay Jarrell, president and CEO of Objectivity, tells 5 Minute Briefing. "Because InfiniteGraph is the only distributed and scalable graph database that is commercially available today and built on proven and massively scalable architecture, it is an attractive solution to government and large enterprise."
InfiniteGraph offers multiple new features and enhanced capabilities for customers mining relationships and connections in their big data. New features and benefits in the commercial release of InfiniteGraph include of new parallel data loading and accelerated ingest, enabling users to import and continuously feed applications with massive amounts of data from numerous, multiple input streams, faster. The database is designed for Java developers on 32- and 64-bit Linux, Windows and Mac OS/X 64-bit, as well as most virtualized cloud environments including Amazon EC2, GoGrid and RightScale.
InfiniteGraph can support any number of applications and systems around the analysis of relationships in big data, and does all of this across any number and size of data volumes, in real-time. A year ago, early adopters were given free access to the initial beta and 1.x releases of InfiniteGraph, which they used to develop, test and prove their advanced application concepts. Applications supported by the database include real-time and location-aware web and mobile advertising platforms, military operations planning and mission assurance, and advanced healthcare and patient records management.
InfiniteGraph is also compatible with other decision support tools, Jarrell says. "In today's environments, it's not necessarily a one-size-fits-all database world. InfiniteGraph absolutely plays nice with other database technologies and open-source tools."
In addition, the new release includes flexible placement, enabling organizations to tune their graph data placement for optimal performance. Enhanced indexing in the new release also provides developers more flexibility in choosing the indexing option that best supports their needs, ranging from automatic indexing to manual options that can speed performance by 20x, the vendor says. Another new feature, InfiniteGraph Data Visualizer, is intended to assist developers in viewing, verifying and testing their data models; is customizable to their models, and understands the types within their data.
InfiniteGraph is offered through several licensing options, starting with an online download to develop and deploy at no cost up to one million nodes and edges. The database is licensed on a "pay-as-you-scale" or usage-based model which enables organizations to expand their storage capacity as needed.
There is an increasing amount of InfiniteGraph adoption via the cloud, Jarrell says. "We have definitely seen customers having an increased interest in adopting InfiniteGraph in the cloud environments, such as EC2, GoGrid, and private peer-to-peer cloud networks," he says, noting that the database supports a range of architectures, including "cloud, non-cloud, embedded, private networks and beyond."
The downloadable version is available at www.infinitegraph.com/download. For more details are available at the Objectivity website.
A replay of a recent webcast, "An Introduction to InfiniteGraph, Connecting the Dots to Find Meaning in Big Data," as well as follow-up Q&A and webcast slidedeck, is accessible on the DBTA website.