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Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
gazelle_plugin
Native SQL Engine plugin for Spark SQL with vectorized SIMD optimizations.
glibc
glibc
hive
Apache Hive
OAP
Optimized Analytics Package for Spark Platform
oap-project.github.io
The OAP project web site
spark
Mirror of Apache Spark
sql-ds-cache
Spark* plug-in for accelerating Spark* SQL performance by using cache and index at SQL data source layer.
substrait
A cross platform way to express data transformation, relational algebra, standardized record expression and plans.
velox
A C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.