There are a lot of open source projects out there, and keeping track of them all is next to impossible. Here are five important ones in the Big Data space that you may not know about.

Here's a look at the most active open source Big Data projects under the direction of the Apache Software Foundation.

Open source technology is at the core of most big data initiatives, but projects are proliferating so quickly it can be hard to keep track of them all.

Open source software is fundamental to big data, says Roman Shaposhnik, who runs the Apache Incubator project for the Apache Software Foundation (ASF), the main sponsor of this event. “In a way, open ...

Interest in open-source tooling and infrastructure for big data keeps growing among developers and traditionally proprietary companies.

Data and AI company Databricks has announced several contributions to popular data and AI open source projects including Delta Lake, MLflow and Apache Spark.

PEO EIS and ARCYBER found something interesting in analyzing the government's off-the-shelf big data systems: Nearly all are built using high-quality, open-source software. With a similar ...

Open-source source platforms for big data have exploded in popularity. And in the past few months, it seems like nearly everyone is feeling the fallout.

Big Data is on every CIO’s mind this quarter, and for good reason. Companies will have spent $4.3 billion on Big Data technologies by the end of 2012. But here’s where it gets interesting ...

Meet the driving forces behind some of today’s most important and most innovative open source projects.

These questions are especially tough to answer because most open-source companies are still private. That’s why we created a detailed index to track popular open-source software projects.

Open Source and the Big Data dilemma Consumers are forced to choose between proprietary systems that limit their ownership and Open Source alternatives that exploit their data.