QuestDB is a high performance, open-source, time-series database
- time-series
- low-latency
- database
- sql
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flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
A curated list of awesome big data frameworks, ressources and other awesomeness.
- awesome
- bigdata
- data-warehouse
- data-analytics
A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
- relational-database
- message-broker
- hadoop-ecosystem
- nosql
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
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.
- java
- hazelcast
- in-memory
- big-data
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Distributed stream processing engine in Rust
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
- etl
- sql
- bigquery
- cloud-native
High-performance time-series aggregation for PostgreSQL
- realtime
- stream-processing
- analytics
- sql
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
- clickhouse
- kakfa
- sql
- redpanda
A lightweight stream processing library for Go
Build platforms that flexibly mix SQL, batch, and stream processing paradigms
- golang
- event-sourcing
- stream-processing
- brokers
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
The database purpose-built for stream processing applications.
- stream-processing
- real-time
- sql
- interactive
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.
- actor-model
- apache-flink
- distributed-systems
- event-driven