MemSQL Brings Geospatial Analysis to In-Memory, Distributed Databases

Date 2015/3/19 10:03:37 | Topic: Product News

MemSQL has announced new geospatial capabilities for its in-memory, distributed, SQL-based database. By bringing together geospatial and operational data in the same high speed database, customers can achieve unprecedented agility for geospatial analysis. Unlike segregated solutions, MemSQL integrates geospatial data as a primary data type, making it as easy to use and operate at scale with as much speed and high throughput as any other class of data.
Previously, enterprises were forced to segregate their geospatial data into separate data stores. With the rise of IoT and mobility, nearly all data is location-specific. As data volume increases, maintaining geolocation information outside of the primary datastore leads to longer latency and synchronization challenges.

By integrating geospatial functions, MemSQL enables enterprises to achieve greater database efficiency with a single database that is in-memory, linearly scalable and supports the full range of relational SQL and geospatial functions. With MemSQL, geospatial data no longer remains separate and becomes just another data type with lock-free capabilities and powerful manipulation functions. 



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