Apache Arrow puts forward a cross-language, cross-platform, columnar in-memory data format for data. It eliminates the need for serialization as data is represented by the same bytes on each platform ...

The Apache Arrow project is a standard for representing data for in-memory processing. The project is designed to be used internally by other software projects for data analytics. It is not uncommon ...

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 ...

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 ...

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 ...

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 ...

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, ...

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.