⚙️ Ralph, the ultimate Learning Record Store (and more!) for your learning analytics
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Updated
May 31, 2024 - Python
⚙️ Ralph, the ultimate Learning Record Store (and more!) for your learning analytics
100% Python stream processing with Streaming DataFrames
A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes
SQL stream processing, analytics, and management. We decouple storage and compute to offer instant failover, dynamic scaling, speedy bootstrapping, and efficient joins.
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
The data warehouse for operational workloads.
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.
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.
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Low-code tool for automating actions on real time data | Stream processing for the users.
Fancy stream processing made operationally mundane
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Cross-platform, customizable ML solutions for live and streaming media.
A streaming SQL engine, a fast and lightweight alternative to ksqlDB and Apache Flink, 🚀 powered by ClickHouse.
Upserts, Deletes And Incremental Processing on Big Data.
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX and Windows
Distributed stream processing engine in Rust
Kubernetes-native platform to run massively parallel data/streaming jobs
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
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