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 ...

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 ...

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 ...

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 ...

Geospatial data governance roadmaps provide a plan to improve organizational effectiveness and efficiency by assembling geospatial data into actionable information that is reliably delivered to ...

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 ...

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 ...

Visual computing vendor Quantum3D has developed a commercial off-the-shelf, worldwide geo-specific database for both fixed-wing and rotary aircraft flight simulations, according to RF Design .

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, ...