Users need search. OpenSearch open source search and analytics technology is provided under an Apache 2.0 user license and is known for its capabilities in website search, but also in real-time ...

Knime just raised $30 million from Invus to supercharge its generative AI capabilities. The startup offers a low-code, open-source software platform for data analytics. Check out the 15-slide pitch ...

In this special guest feature, Thomas Hazel, Founder, CTO and Chief Scientist of CHAOSSEARCH, provide tips on how to evaluate the total cost ownership of open source solutions. CHAOSSEARCH is a ...

Several of Konidena’s contributions focus on making open source systems more predictable and easier to use in enterprise ...

It wasn’t long ago when open source software was on the fringe of cutting edge technology. The software then was rough, untested and insecure. No longer is this the case. From tiny startups to the ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More At its annual Real-Time Analytics Summit today, StarTree announced a ...

In 2025, enterprise data platforms support business operations by combining analytics, governance and orchestration in one system, increasingly with generative and agentic AI-enabled features to ...

The latest trends and issues around the use of open source software in the enterprise. StarTree was a partner player at Current, the next-generation of Apache conference, run by data streaming ...

SAN FRANCISCO--(BUSINESS WIRE)--PostHog, the open source product analytics company, today announced $15 million in fresh funding and major new free features for users of data warehouses. The company’s ...

I started using APL for data analysis around 1972. The powerful language, based on a 1962 book by Ken Iverson, A Programming Language, was and is notable for three things: its use of Greek letters and ...

It’s not easy for organizations to become data-driven, despite the aspirations many have to get there. Even orgs with data analytics teams often struggle to make effective use of their data. According ...