KubeBlocks is an open-source control plane that runs and manages databases, message queues and other data infrastructure on K8s.

Motor.NET is a microservice framework based on Microsoft.Extensions.Hosting

A boilerplate with Bun, Elysia, Drizzle ORM, Postgres,...

Pathway is a high-throughput, low-latency data processing framework that handles live data & streaming for you. Made with ❤️ for Python & ML/AI developers.

Benchmarks for Nussknacker - A visual tool to define and run real-time decision algorithms. Brings agility to business teams, liberates developers to focus on technology.

Mirror of Apache Kafka

Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

SQL stream processing, analytics, and management. We decouple storage and compute to offer speedy bootstrapping, dynamic scaling, time-travel queries, and efficient joins.

Create an executable project (API and Admin App) from a database with 1 command, customize with rules and Python in your IDE

In this project, you will execute an End-To-End Data Engineering Project on Real-Time Stock Market Data using Kafka. We are going to use different technologies such as Python, Amazon Web Services (AWS), Apache Kafka, Glue, Athena, and SQL.

This repo maintains DM (a data migration platform) and TiCDC (change data capture for TiDB)

DBM，数据库管理

Confluent Kafka questions to practice for CCDAK

Data Streaming with Debezium, Kafka, Spark Streaming, Delta Lake, and MinIO

Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.

Some very useful middleware libraries are re-encapsulated and are very simple and efficient to use, which can save a lot of development time, improve work efficiency and avoid duplication of code.

AutoMQ is a cloud-native fork of Kafka by separating storage to S3 and EBS. 10x cost-effective. Autoscale in seconds. Single-digit ms latency.

The Apache Kafka C/C++ library

The API traffic analyzer for Kubernetes providing real-time K8s protocol-level visibility, capturing and monitoring all traffic and payloads going in, out and across containers, pods, nodes and clusters. Inspired by Wireshark, purposely built for Kubernetes

Fancy stream processing made operationally mundane