Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Apache Spark - A unified analytics engine for large-scale data processing
All-in-one IoT Platform - Device management, data collection, processing and visualization.
An orchestration platform for the development, production, and observation of data assets.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
High-performance time-series aggregation for PostgreSQL
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Lightweight data stream processing engine for IoT edge
Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS
visual data prep powered by python
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
Data API Framework for AI Agents and Data Apps
📈 Collect customer event data from your apps. (Note that this project only includes the API collector, not the visualization platform)
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
oneAPI Data Analytics Library (oneDAL)
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
Haskell on Apache Spark.
An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration
An effort to bring Google's Firebase C++ API to Qt + QML