2016 Data Analytics Forecast: Top 5 Trends to Watch When it comes to transaction processing, relational databases still rule the enterprise roost. But it’s also clear that a number of NoSQL databases ...

March 17 — MemSQL, the leader in real-time databases for transactions and analytics, today announced new geospatial capabilities for its in-memory, distributed, SQL-based database. By bringing ...

In a bid to expand the appeal of its graphics processing unit-enhanced relational database management system to large enterprises, Kinetica DB Inc. today is announcing new geospatial capabilities ...

Storing and analysing huge volumes of geospatial data from internet-of-things (IoT) devices using traditional databases can be tedious and expensive, with analytics applications often plagued by high ...

Brandon Herndon, operations officer for the Center for Geospatial Information Technology, served as the lead on the database project. Virginia Tech’s Center for Geospatial Information Technology has ...

GE Energy has announced the availability of its new geospatial network design and maintenance product portfolio built using Oracle Database, Oracle Spatial and Oracle Fusion Middleware. GE Energy's ...

MariaDB Corporation is announcing its recent acquisition of CubeWerx, adding features like cloud-native, scalable geospatial capabilities to its fully-managed cloud service, MariaDB SkySQl. The use of ...

Cambridge Semantics, a provider of graph-driven data integration and analytics software, is adding geospatial analytics to its AnzoGraph DB, combining the power of scalable location analytics with the ...

As a Python developer, your choice of database can greatly influence your project’s success. Selecting the right database is crucial for optimizing your application’s data handling capabilities, ...