Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
- etl
- sql
- bigquery
- cloud-native
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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.
- data
- ingestion
- replication
- management
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
- go
- data-integration
- etl
- data-pipeline
Time-series database and pub/sub messaging server for IoT and real-time devices, in Go: an embeddable storage engine with TTLs, wildcard topics and encryption, and a clustered server over gRPC, TCP and WebSocket with replication and rolling upgrades.
Stream database events from PostgreSQL to Kafka
- postgresql
- events
- stream
- kafka
Gatling plugin for Apache Kafka — produce, request-reply, and consume load testing with Avro, Protobuf, and Schema Registry support
- gatling
- kafka
- performance
- performance-testing
Gatling plugin for AMQP/RabbitMQ — publish, request-reply, and consume patterns with connection pooling
- amqp
- gatling
- gatling-plugin
- performance
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.
- collaborative-editing
- conflict-resolution
- crdt
- data-engineering