Welcome to the vFabric SQLFire Community

VMware vFabric SQLFire 1.0 Professional Edition has been released and is available for download. Thank you for your feedback and continued participation.

vFabric SQLFire is an in-memory distributed SQL database delivering dynamic scalability and high performance for data-intensive modern applications..

SQLFire offers some of the best features usually only seen in NoSQL databases, such as horizontal scalability, shared-nothing persistence and built in fault tolerance, but does it all while providing a real SQL interface. If you're having trouble scaling your database or worried about high availability, SQLFire is a great alternative.

You can talk to SQLFire using JDBC from Java applications or from .NET using an ADO.NET driver so you can use existing code and talk to SQLFire in a language you already know.

Forum: Got a question or a comment? Visit the Discussions tab to connect with SQLFire experts. We look forward to hearing from you!

Higher throughput and lower latency than traditional databases – SQLFire manages data and indexes in memory, and is optimized for distributed data access rather than for disk I/O.
Dynamic, linear scalability – SQLFire is scalable because it partitions data dynamically across many member nodes, distributing the load uniformly across servers, and making it easy to scale in or out at any time.
Shared-nothing persistence – Each SQLFire member node stores data independently of other members, giving SQLFire built-in fault tolerance and true horizontal scalability.
Continuously available data inside your datacenter or around the globe – SQLFire lets you synchronously replicate data at memory speed within one datacenter which makes scalability and fault tolerance simple. SQLFire can also asynchronously replicate data across the WAN to remote datacenters, which makes it easy to run the same app in different locations.
Cache existing data – SQLFire can be used as a primary database or as a middle-tier cache for an existing database, offering read-through, write-through and write-behind caching.
Parallel, data-aware stored procedures – SQLFire stored procedures are distributed in parallel among all nodes, with each node processing only the data it holds locally. That means SQLFire stored procedures scale horizontally along with your data.

To learn more about these and other benefits, check out Features and Benefits of SQLFire.