Apache Spark - A unified analytics engine for large-scale data processing
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Apache Spark - A unified analytics engine for large-scale data processing
CMAK is a tool for managing Apache Kafka clusters
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
The leader in Customer Data Infrastructure
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
In-memory dimensional time series database.
Apache Kyuubi is a distributed and multi-tenant gateway to provide serverless SQL on data warehouses and lakehouses.
A data access library for Scala + Postgres.
MLeap: Deploy ML Pipelines to Production
Distributed Prometheus time series database
Scala library for boilerplate-free, type-safe data transformations
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
Sparkling Water provides H2O functionality inside Spark cluster
Apache Livy is an open source REST interface for interacting with Apache Spark from anywhere.
CPU and GPU-accelerated Machine Learning Library
:leaves: Non-blocking, Reactive MongoDB Driver for Scala
Essential Spark extensions and helper methods ✨😲
Lightweight real-time big data streaming engine over Apache Pekko
Low-code tool for automating actions on real time data | Stream processing for the users.
[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
BlinkDB: Sub-Second Approximate Queries on Very Large Data.