Best Data Management Software for APERIO DataWise

Apache Arrow is a language-independent columnar storage format for flat and hierarchical data. It's designed for efficient analytic operations with modern hardware such as CPUs and GPUs. The Arrow memory format supports zero-copy reads, which allows for lightning-fast data access with no serialization overhead. Arrow's libraries support the format and can be used to build blocks for a variety of applications, including high-performance analytics. Arrow is used by many popular projects to efficiently ship columnar data or as the basis of analytic engines. Apache Arrow is software that was created by and for developers. We believe in open, honest communication and consensus decisionmaking. We welcome all to join us. Our committers come in a variety of backgrounds and organizations.

Parquet was created to provide the Hadoop ecosystem with the benefits of columnar, compressed data representation. Parquet was built with complex nested data structures and uses the Dremel paper's record shredding/assemblage algorithm. This approach is better than flattening nested namespaces. Parquet is designed to support efficient compression and encoding strategies. Multiple projects have shown the positive impact of the right compression and encoding scheme on data performance. Parquet allows for compression schemes to be specified per-column. It is future-proofed to allow for more encodings to be added as they are developed and implemented. Parquet was designed to be used by everyone. We don't want to play favorites in the Hadoop ecosystem.