With the arrival of highly distributed applications (as found in Facebook, Google, LinkedIn, Twitter and others) and the Internet of Things, SQL databases have proven inadequate in terms of scalability, ease of management, cost and deployment in the cloud. This has led to over a year of innovation working towards highly distributed database technology to support distributed application models.

In an effort to combine the best technologies, database platform startup FoundationDB has created a NoSQL database to address these problems. The database offers the general availability of its ACID (Atomic, Consistent, Isolated, Durable) compliant.

The FoundationDB Key-Value Store fast NoSQL database that scales and supports ACID transactions supports global transactions over any number of key-value pairs, and offers a wide range of data models, including models for saving charts, documents, reports, spreadsheets and associated reports.

The company has re-architectured its FoundationDB Key-Value Store to version 3.0 that guarantees fault tolerance, ensures consistency and scalability for operational workloads in the cloud or on premise. The new version runs on a 32-machine cluster on Amazon’s EC2, which can offer the ability to execute more than 14 million writes per second, a significant gain over 400,000 random writes per second earlier versions.

The version 3.0 has eliminated single-machine bottlenecks and opens up vast new possibilities for companies dealing with Internet of Things (IoT). Version 3.0 makes the power of a multi-model, ACID transactional database to support IoT apps which offer hundreds of data points per minute from millions of devices.

Key Value Store 3.0 into the Internet of Things space

“It wasn’t too long ago that the Netflix engineering team made waves by showing Cassandra running more than 1M random writes per second in the cloud,” said Dave Rosenthal, CEO of FoundationDB. “We recently ran more than 14M random writes per second on a 32-machine cluster in EC2 using Key Value Store 3.0. When we started FoundationDB, many experts thought it was impossible to build a distributed database with ACID transactions, but after years of work we proved that it could be done. Then, they said that it would never scale. Today, version 3.0 has eliminated single-machine bottlenecks and delivers a scalable, transactional database at industry-leading performance levels that the competition can’t even achieve without transactional guarantees. This unmatched combination of capabilities opens up vast new possibilities for companies dealing with massive OLTP workloads like we see in the IoT space.”

Version 3.0 of FoundationDB’s key value store delivers some key features that make it better positioned for the next wave of NoSQL adoption and IoT,’ which will drive new levels of data ingestion and processing requirements. A new breed of databases will emerge to deal with the influx of data brought on by the growing number of connected devices.

For example, companies that operate thousands of sensors monitoring operational data in factories or collecting GPS location from devices of millions of users can take advantage of FoundationDB new version to build systems that collect and process all of this data from all of these devices.

“We see people all the time who say they need to do 250,000 writes per second, or that they are launching a service that needs a million writes per second. And all of these people want to be prepared to scale,” Rosenthal said. “You don’t want to use a database that is right up against the limit of what you want to do.”

NoSQL data stores have grown in popularity over the past few years for its ability to easily scale across multiple nodes. The other advantage of the database is that it could equally be SQL and NoSQL fashion and at a much lower cost than traditional databases such as Oracle or SQL Server. FoundationDB version 3.0 architecture also opens the door to the creation of additional compatibility layers above the motor base due to the availability of API developers.

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