Free developer release of elastic SQL database
|Christian Hargrave in Cloud Services Wednesday, February 1, 2017|
Designed as an extendable 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 accessibility.
Developers can also use their Community Edition to independently evaluate the product, which showcases its distributed peer-to-peer architecture and the benefits of simplicity and scalability.
Key features include:
- 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
- Scalable transaction processing layer
- Data persistence to a single host
“We understand the pressure developers are under to quickly deliver applications designed to meet the demands of today’s consumers. This expanded Community Edition is easy to develop on and yet built to scale, as needed, to meet these growing demands,” said Ariff Kassam, vice president of products at NuoDB. “By offering the ability to test drive our elastic database, we can help the developer community learn first-hand, the value of a database built with the transactional consistency and durability that databases of record demand, with the scale-out simplicity, elasticity, and continuous availability that cloud applications require.”
Clouds are distributed technology platforms that leverage sophisticated technology innovations to provide highly scalable and resilient environments that can be remotely utilized by organizations in a multitude of powerful ways. To successfully build upon, integrate with, or even create a cloud environment requires an understanding of its common inner mechanics, architectural layers, and models, as well as an understanding of the business and economic factors that result from the adoption and real-world use of cloud-based services.
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