Durham, NC (PRWEB) March 06, 2012
Metadata Partners, LLC announced today the launch of the Datomic database system and early experience program. Datomic is a new kind of database that combines the scalability of the cloud with the power of local processing. Datomic provides a distributed database system, separating transaction processing, storage, caching and query capabilities. This maximizes scalability and provides the redundancy necessary for the cloud, while retaining performance. Datomic moves powerful data manipulation capabilities, and the data itself, into applications, coupling them with a sound and flexible data model. This provides the basis for the next generation of elastic, intelligent applications, free from the bounds of traditional databases.
With today’s release, developers can immediately begin to learn and apply the technology to their domains using two different components of the technology for testing and development:
The Peer Library: The in-process component of Datomic, the peer library provides access to the API, a declarative query engine, and an in-memory database for testing and exploration.
The Developer Appliance: A virtual machine image containing an emulation of the full production service, the developer appliance can be hosted on the local development machine or on a server.
Datomic’s commercial production service, for scalable, high-performance applications, runs on Amazon's Web Service platform (AWS), and is in limited availability trial now.
Elastic Capability, Elastic Pricing
Datomic's new design supports elastic database capability, and has correspondingly elastic pricing. Datomic's smooth on-ramp starts with an ample 1000-hour/month free tier, followed by $0.10 per peer-hour pricing (AWS fees not included), providing a cost-effective and predictable cost model. In addition, the Datomic components are being offered free of charge for open source applications that qualify.
Founded in 2010 by Clojure creator Rich Hickey and Relevance Inc, Metadata Partners' Datomic project is dedicated to realizing Rich's vision for a database that leverages cloud architectures, brings time into the data model, and empowers developers without sacrificing queries, joins and ACID transactions in pursuit of flexibility, scalability and speed.
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