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Product News : NuoDB Expands Community Edition to Support Elastic Scale-Out
on 2017/2/1 9:22:07 (524 reads)
Product News

As organizations increasingly adopt cloud applications for standard business operations, developers of new cloud applications have struggled to find a database built for today's cloud-centric environment -- typically having to sacrifice elasticity and resilience in favor of cost or SQL capabilities. NuoDB, the elastic SQL database company for cloud applications, today unveiled a more robust Community Edition to better support the needs of developers and start-ups.

Designed as an extendable, scale-out database, the newly released, expanded version of NuoDB Community Edition can automatically adjust to fluctuations and growth in transaction processing volumes while demonstrating resilience to hardware failure. The latest version allows users to add additional transaction processing nodes to handle greater operational workload throughput and can be deployed across multiple hosts for fault tolerance and high availability.

"NuoDB's ability to scale across nodes while keeping ACID transactions and ANSI SQL support means that I get on-demand scalability without losing ACID," said Vlad Chechetko, a Community Edition user developing a new application. "I really appreciate that it also has its own in-memory cache and the ability to process mixed workloads."

Customers select NuoDB because it scales in and out on-demand and ensures continuous availability while still providing standard database interfaces, operations, and guarantees of consistency and durability. NuoDB Community Edition's rich capabilities means that developers can prototype on a robust, commercial database and not have to worry about the risk of migration once their application gains traction.

Developers can also use NuoDB Community Edition to independently evaluate the product, which showcases its distributed peer-to-peer architecture and the benefits of continuous availability and simple, elastic scaling.

NuoDB Community Edition showcases:
* Highly available distributed database services across commodity servers
* Application access via a single, logical database view
* A standards-based SQL interface
* In-memory, transaction handling
* Elastic scaling of the transaction processing layer
* ACID-compliance
* Data persistence to a single host

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