In-memory data systems have have had a panache for several years now. From SAP HANA to Apache Spark, customers and industry watchers have been continually intrigued by systems that can operate on data ...

The latest project to reach top-level status in the Apache Software Foundation is a no-lose proposition for everyone, or at least that’s how the project leaders are positioning it. Apache Arrow ...

There are significant performance optimizations available for systems that consume and process primarily analytical data, but seldom are software applications written in a way that can take advantage ...

The Apache Arrow in-memory columnar format has become a critical component of many analytical database systems and tools. It brings a number of advantages to InfluxDB. Historically, working with big ...

The ever-growing open source data stack ushered in yet another piece this morning with Apache Arrow, a new top-level project providing a columnar in-memory layer that focuses on higher performance ...

A few years back, we noted the emergence of Apache Arrow; what piqued our attention was that the backers consisted of "a who's who list" of over 20 committers from the likes of Cloudera, MapR, ...

Comet is an Apache Spark plugin that uses Apache Arrow Datafusion to improve query efficiency and query runtime. It does this by optimizing query execution and leveraging hardware accelerators. With ...

Hadoop, Spark and Kafka have already had a defining influence on the world of big data, and now there’s yet another Apache project with the potential to shape the landscape even further: Apache Arrow.

Over the past three years Apache Arrow has exploded in popularity across a range of different open source communities. In the Python community alone, Arrow is being downloaded more than 500,000 times ...