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
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Logstash - transport and process your logs, events, or other data
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Scalable real-time messaging server in a language-agnostic way. Self-hosted alternative to Pubnub, Pusher, Ably, socket.io, Phoenix.PubSub, SignalR. Set up once and forever.
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Efficient reliable UDP unicast, UDP multicast, and IPC message transport
Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.
Migrate to PostgreSQL in a single command!
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
Upserts, Deletes And Incremental Processing on Big Data.
lakeFS - Data version control for your data lake | Git for data
The AsyncAPI specification allows you to create machine-readable definitions of your asynchronous APIs.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Apache Iggy: Hyper-Efficient Message Streaming at Laser Speed
A better compressed bitset in Java: used by Apache Spark, Netflix Atlas, Apache Pinot, Tablesaw, and many others
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
The open source and enterprise-ready webhooks service 🦀
Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
A micro library providing Ruby objects with Publish-Subscribe capabilities
DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.