Hello everybody,
I am very excited to announce that Aurelius has been acquired by DataStax which marks a great milestone for graph database technology.
When Marko started Aurelius some three and a half years ago, graph databases were still in their infancy. When I joined him a year later and we started the Titan project, graph databases weren't supposed to scale as vendors explained that this technology was meant for complex but small data sets. We built a graph database platform that proved them wrong and in the process pioneered many of the concepts needed to achieve scale: vertex-centric indexes, efficient graph partitioning through edge- and vertex-cuts, distributed vertex id allocation, and others. These ideas are finding their way into other products and will hopefully advance the state of the art in graph database technology.
Despite its immaturity, Titan was warmly welcomed by the open source community. Over the years, Titan was deployed in a number of interesting use cases, offering a first glimpse at the possible applications that a scalable graph database could enable. We are incredibly enthusiastic about those use cases and thankful for all the insightful feedback we have received.
An increasing number of companies have contacted us with their production support needs for mission critical applications. Hence, we decided it is time to take it to the next level and build a commercial, enterprise-ready, scalable graph database. We will be doing so as part of DataStax and on top of the DataStax Enterprise (DSE) platform, which is their commercial Cassandra offering.
For technological and ideological reasons it makes a lot of sense to join forces with DataStax.
In our development of Titan, we relied on existing storage systems as a backing store rather than reinvent the wheel. Through this experience and our work with customers we have become increasingly fond of Apache Cassandra as a distributed datastore technology that lives up to its promise of scaling out and beyond data centers. Hence, we believe that DSE is the strongest platform on which to build a massively scalable graph database. By tightly integrating with the storage layer, we will be able to achieve higher performance and better usability.
In addition, DataStax shares our vision for graph databases and is equally driven to advance the graph community and expand the market. DataStax, with a proven track record of open source contributions in Apache Cassandra, is committed to furthering TinkerPop which was recently incubated with Apache and will dedicate significant resources to its continued development.
However, there is also some sadness in this announcement. As we transition to DataStax, we will find little time to contribute to Titan and interact with the Titan community. We will miss that and hope that it will be carried forward.
The graph community just got a big boost and we are very honored to be part of it. We will keep you posted as we get started on building the next-generation graph database with DataStax. Please contact us with any questions or comments.
Cheers,
MatthiasIf you all can no longer maintain titan, will you delegate the responsibility of reviewing and accepting patches, and possibility creating releases, to a community member?
Congratulations on taking your organization to the next level.
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