Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
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Updated
Jun 6, 2024 - Go
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
The data warehouse for operational workloads.
Upserts, Deletes And Incremental Processing on Big Data.
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.
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
The Gretel Python Client allows you to interact with the Gretel REST API.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Low-code tool for automating actions on real time data | Stream processing for the users.
Kafka Streams for Low Code Environments
csp is a high performance reactive stream processing library, written in C++ and Python
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX and Windows
100% Python stream processing with Streaming DataFrames
Deploy Kafka pipelines to Kubernetes
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
A Kafka connector for subscribing to topics and streaming messages into MarkLogic
SQL stream processing, analytics, and management. We decouple storage and compute to offer instant failover, dynamic scaling, speedy bootstrapping, and efficient joins.
This repository will contain examples of use cases that utilize Decodable streaming solution
Change Data Capture (CDC) tool from any source(s) to any target
Fancy stream processing made operationally mundane
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