Pathway is a high-throughput, low-latency data processing framework that handles live data & streaming for you. Made with ❤️ for Python & ML/AI developers.
-
Updated
May 19, 2024 - Python
Pathway is a high-throughput, low-latency data processing framework that handles live data & streaming for you. Made with ❤️ for Python & ML/AI developers.
이슈모아 🧷 Document
Module that supports provisioning and configuring IBM Cloud Event Streams
Confluent Kafka questions to practice for CCDAK
My personal project which creates a Kafka Connect app using Docker Compose and runs some end-to-end tests using Java, Spring Boot, Postgres, and Gradle
A boilerplate with Bun, Elysia, Drizzle ORM, Postgres,...
Spring example that show how to use Saga and CQRS in microservice
Create an executable project (API and Admin App) from a database with 1 command, customize with rules and Python in your IDE
The data warehouse for operational workloads.
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
Entity Framework Core provider for Apache Kafka
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Perform historical snapshots without database locks and read change data capture logs from databases. Artie Reader is compatible with Debezium and written in Go.
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
Add a description, image, and links to the kafka topic page so that developers can more easily learn about it.
To associate your repository with the kafka topic, visit your repo's landing page and select "manage topics."