Iggy is a distributed message streaming platform and multi-protocol message broker that functions as a persistent distributed log store. It provides infrastructure for publishing and consuming binary messages using an append-only log, ensuring high availability and data consistency across nodes through Viewstamped Replication. The platform is distinguished by its specialized LLM streaming infrastructure, which uses a server protocol to connect large language models to streaming data and system controls. This includes standardized protocols for context management and data bridging via HTTP or
🦎 A multi-protocol edge & service proxy. Seamlessly interface web apps, IoT clients, & microservices to Apache Kafka® via declaratively defined, stateless APIs.
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
Las características principales de mgillr/crdt-merge son: Data Ingestion Pipelines.
Las alternativas de código abierto para mgillr/crdt-merge incluyen: apache/iggy — Iggy is a distributed message streaming platform and multi-protocol message broker that functions as a persistent… awslabs/aws-data-wrangler — This project is an AWS pandas integration library and data pipeline framework designed to simplify the movement and… apache/incubator-gobblin — A distributed data integration framework that simplifies common aspects of big data integration such as data… apache/pulsar — Apache Pulsar is a cloud-native distributed pub-sub messaging system designed for high-performance data ingestion. It… aklivity/zilla — 🦎 A multi-protocol edge & service proxy. Seamlessly interface web apps, IoT clients, & microservices to Apache Kafka®… airbnb/kafkat — KafkaT-ool.
