Outside of data and analytics, solutions based on open source technology are challenging well-established commercial vendors. MongoDB’s database is winning converts away from proprietary databases .

As data science matures, we need to carefully balance the convenient opacity of turnkey analytics platforms with the more complex transparency of the scientific world. Some platforms blend these ...

Let’s take a quick dip into Open Data Lakes Analytics. But before we do, we need to cross off some names and definitions. This story starts with Ahana, a self-styled ‘self-service’ analytics ...

Neo4j can handle very large graphs, even in its open source edition, and unlimited graph sizes in its enterprise edition. (The open source version of Neo4j is limited to one server.) — Martin Heller ...

WSO2 DAS 3.0 is the next evolution of WSO2 Business Activity Monitor 2.5, which it replaces. It combines into one integrated platform real-time and batch analysis of data with predictive analytics via ...

When I code, I like to use the highest-performance libraries available to give me an edge. That’s why DAAL is really worth knowing. The DAAL open source project started by Intel, and the tightly ...

“Spot’s Open Data Models helps organizations quickly share new analytics with one another as new threats are discovered.” “The idea is, let’s create a common data model that any application developer ...

Software-wise, many vendors, such as SAS, IBM, Microsoft, Oracle, and Matlab, are currently providing commercial solutions for big data and analytics. We also see more and more open source, free ...

Microsoft has agreed to acquire open-source software company Revolution Analytics, heavily embracing the R programming language, a data analysis tool widely used by both academics and corporate ...

The open source Gandiva project seeks to forge that cooperation and clear the analytics log jam. Written by Andrew Brust, Contributor June 14, 2018 at 6:00 a.m. PT ...