Nov 16 2017 01:09 PM
Today, we are extremely excited to pre-announce the general availability of Azure Cosmos DB Gremlin API for native support and querying of graph databases. Graphs are perfect for modeling real world data which is naturally inter-connected. Structurally, such graphs are composed of vertices and edges. Vertices denote discrete entities such as a person, a place, or an event, while edges denote relationships among such entities. Moreover, these vertices and edges may a have arbitrary number of properties. Modeling data as graphs is currently gaining a lot of interest, as it allows a large level of flexibility to represent user data in a way that makes intuitive sense, as well as can lead to very powerful tools that help users navigate complex interconnections in their data in order to derive richer, actionable insights.
Azure Cosmos DB is the first managed PaaS service that brings cloud-native and enterprise-ready features to graph databases. This includes turnkey global distribution, independent scaling of storage and throughput, predictable single-digit millisecond latencies, automatic indexing, and the most comprehensive in the industry SLAs. Because Azure Cosmos DB supports TinkerPop/Gremlin, you can easily migrate applications written using another graph database without having to make any code changes. Additionally, by virtue of Gremlin support, Azure Cosmos DB seamlessly integrates with TinkerPop-enabled analytics frameworks such Apache Spark GraphX for analytics on graph data.
Read about it in the Azure blog.