Apache Spark is an open source cluster computing system that aims to make data analytics fast — both fast to run and fast to write. To run programs faster, Spark offers a general execution model that can optimize arbitrary operator graphs, and supports in-memory computing, which lets it query data faster than disk-based engines like Hadoop.

Spark - Fast Cluster Computing

Shark is an open source distributed SQL query engine for Hadoop data. It brings state-of-the-art performance and advanced analytics to Hive users. It runs Hive queries up to 100x faster in memory, or 10x on disk. it is a large-scale data warehouse system for Spark designed to be compatible with Apache Hive.

Shark - Hive on Spark

Calliope provides a bridge between Cassandra and Spark framework allowing you to create those magical, realtime bigdata apps with ease. It is a library providing an interface to consume data from Cassandra to spark and store RDDs from Spark to Cassandra. 

Calliope - Bridge between Cassandra and Spark framework

Gimel provides unified Data API to access data from any storage like HDFS, GS, Alluxio, Hbase, Aerospike, BigQuery, Druid, Elastic, Teradata, Oracle, MySQL, etc.

Gimel - PayPal's Big Data Processing Framework

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Spark - Fast Cluster Computing

Shark - Hive on Spark

Calliope - Bridge between Cassandra and Spark framework

Gimel - PayPal's Big Data Processing Framework

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Projects

Spark - Fast Cluster Computing

Shark - Hive on Spark

Calliope - Bridge between Cassandra and Spark framework

Gimel - PayPal's Big Data Processing Framework

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