QuestDB is a high performance, open-source, time-series database
- time-series
- low-latency
- database
- sql
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QuestDB is a high performance, open-source, time-series database
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
High-performance time-series aggregation for PostgreSQL
One advanced and mature open-source MPP (Massively Parallel Processing) database. Open source alternative to Greenplum Database.
A dataset of millions of news articles scraped from a curated list of data sources.
The database purpose-built for stream processing applications.
A powerful background job processing library for Clojure
Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
JavaScript tools for graph processing in Node.js and the browser inspired by the Apache TinkerPop API
Ordered background jobs processing
A blazing fast job processing system backed by GenStage & Redis.
AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.
Distributed batch data processing framework
Lightweight SQL-based stream processing engine for IoT edge.
A Python application to filter and transfer Zeek logs to Elastic/OpenSearch+Humio. This app can also output pure JSON logs to stdout for further processing!
Data policy IN, dynamic view OUT: PACE is the Policy As Code Engine. It helps you to programatically create and apply a data policy to a processing platform like Databricks, Snowflake or BigQuery (or plain 'ol Postgres, even!) with definitions imported from Collibra, Datahub, ODD and the like.
A groovy/java tabular Data (from CSV,SQL,JSON) processing library that supports fuzzy column matching,tranformations/merging/querying
Stateful actors on Apache Flink 2.x and Java 21 — durable per-key state, exactly-once messaging, Kafka and Kinesis I/O, Kubernetes-native deployment. Continues the Apache Stateful Functions programming model on the modern Flink line.