Apache Arrow is a software development framework designed to improve the performance of analytical processing and the efficiency of moving data from one system or programming language to another. Apache Arrow’s in-memory columnar format is a standardized, language-agnostic specification for representing structured, table-like datasets in-memory.
Arrow’s libraries implement the format and provide building blocks for a range of use cases focused on high-performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines.
Apache Arrow is an open source project licensed under Apache License 2.0. Notable contributors to Apache Arrow include Dremio, Voltron Data, InfluxData, DataStax, Cloudera, MapR, Anyscale, and others.
Traditionally, there have been two main types of database structures: row-oriented and column-oriented. Each system has pros and cons, and the appropriate format will depend on the specifications of any given project. Arrow is an in-memory application of the column-oriented format and is typically used for large analytical workloads.
Molecula has developed a database platform that is neither row-oriented nor column-oriented. Molecula’s feature-oriented database, FeatureBase, has been shown to perform better on datasets with massive, real-time, extremely complex analytical workloads. Molecula’s FeatureBase is particularly useful for ML and AI workloads due to the nature of their size, speed, volume, and real-time data requirements. To learn more, see FeatureBase.
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