infoTECH Feature

August 30, 2011

Tagged Unveils Stig Open Source Graph Database

Tagged announced the debut of Stig, an open source graph database that can scale according to massive, real-time social applications. The announcement was made at NoSQL Now! conference by Tagged a social network.

“Traditional databases are not built for the rigors of planetary-scale, real-time social applications--nor are they designed with Web programmers in mind,” said Jason Lucas, Scalability Architect at Tagged in a statement.

Lucas added, “At Tagged, we realized this the hard way as we scaled our social discovery network to a hundred million plus users. With Stig, we wanted to apply what we’ve learned to create an entirely new graph database solution that everyone can use.

According to company sources, Stig will facilitate programmers to store and access large amounts of interconnected data besides being fast and scalable. Stig documentation and source code will be available for the open source community.

Lucas gave a technology presentation and also organized a workshop to demonstrate Stig’s database technology for the developer community at the NoSQL Now! conference.

“At Tagged, we have a philosophy that if we can't find the right tool to do the job, we create our own. We’re proud to contribute to the developer community by sharing Stig as an open source project,” said Johann Schleier-Smith, CTO and co-founder, Tagged.

Explaining the features and benefits of Stig, officials added that Stig stores data in nodes and stores the connections between data as edges between nodes. This enables easy Kevin Bacon computations and social networking queries that search for connections between people.

The real-time accessibility capability implements a type of data isolation called a “point of view” as isolation sometimes leads to concurrency. Stig Private (one person) and shared (some, but not all people) points of view will expand to a larger database over time. However to allow fast communication to take place it lets changes only in the data for the people who require it.

Also Stig is horizontally shared hence users can add any number of machines to the system even up to a count of a million machines, emphasized officials.

As Stig replicates data on numerous machines, data will be available even in case of some machines failing. If the network fails for part of the data center, Stig allows partitioning and lets the data be reconciled when the partitions rejoin. Also Stig has its own native language which can emulate SQL and other paradigms.

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Shamila Janakiraman is a contributing editor for TMCnet. To read more of Shamila’s articles, please visit her columnist page.

Edited by Rich Steeves
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