Apache Spark - A unified analytics engine for large-scale data processing
Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark
REST job server for Apache Spark
Base classes to use when writing tests with Spark
Upserts, Deletes And Incremental Processing on Big Data.
The Programming Language Designed For Big Data and AI
Upserts And Incremental Processing on Big Data
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
Global-scale event sourcing and event collaboration with causal consistency
C# and F# language binding and extensions to Apache Spark
Livy is an open source REST interface for interacting with Apache Spark from anywhere
The MongoDB Spark Connector
A connector for Spark that allows reading and writing to/from Redis cluster
Tranquility helps you send real-time event streams to Druid and handles partitioning, replication, service discovery, and schema rollover, seamlessly and without downtime.
Large-scale event processing with Akka Persistence and Apache Spark
An open source framework for building data analytic applications.
Serverless proxy for Spark cluster
A tool for monitoring and tuning Spark jobs for efficiency.
Mirror of Apache Bahir
Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs