When we started Reltio, the foundation of our cloud-based modern data management platform had to be the repository or data store. As such, we invested significant cycles evaluating the latest technology available across a range of RDF and NoSQL databases.
Ultimately we ended up selecting Apache Cassandra (C*), and naturally chose DataStax as our strategic technology partner. At last night’s C* meetup in downtown San Francisco, my colleagues Alexey Sidelnikov, Pavel Bordukov and I, joined by our esteemed Senior Director of Engineering Zoltan Gombosi, were honored to be able to present to a large gathering of C* professionals, detailing our journey and how we ended up picking C*. Alexey also provided insight into how we manage locking natively within C*, without the use of other any other projects or tools. We received lots of great feedback and really appreciated the host of insightful questions. If you would like a copy of our presentation, click here to download the PDF. Please fill in the form so we know that you were interested in what presented, it helps refine and improve our presentations for future audiences.
C* is our foundational data store, and we’ve added a healthy dose of our secret sauce on top to create what we call the Commercial Graph. The inspiration for our graph technology comes from consumer data-driven applications such as LinkedIn (economic graph), Facebook (social graph) and Google (knowledge graph). At Reltio, we believe that the only way to deliver infinitely scalable, flexible and extensible enterprise-class data-driven applications is to blend the power of C* together with graph technology.
We’ve been very fortunate to have what we feel is a talented globally distributed engineering team in Russia, India and the US, all working together to deliver what has been described recently by the press and media, as “pioneering”, “disruptive” and “ground breaking.”
Those marketing accolades aside, we continue to focus on making Reltio Cloud better through Cassandra and other new technologies. We thank DataStax for supporting us in our development and for the kind words of Matt Pfeil, DataStax cofounder who recently remarked
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