What Apache Spark AI does
Apache Spark is an open source, multi language engine for data engineering, data science and machine learning on single node machines or clusters. It is meant for data engineers building batch and streaming pipelines, data scientists exploring large datasets, machine learning practitioners who want to develop on a laptop and scale to clusters, and SQL analysts. The site names unified batch and stream processing, distributed ANSI SQL, Adaptive Query Execution, support for structured and unstructured data, pandas on Spark and the MLlib machine learning library, with APIs in Python, SQL, Scala, Java and R. Spark is released under the Apache License, Version 2.0, and the site lists no paid tiers.
How Apache Spark AI compares with its closest alternatives
All 5 closest alternatives have a free plan, as Apache Spark AI does. All 5 offer an API, as Apache Spark AI does. Apache Spark AI offers a command-line tool. Of the alternatives, 1 offers a command-line tool. Apache Spark AI was founded in 2010; the alternatives were founded between 2011 and 2022. The alternatives with a known headquarters are in the United States and Spain.