Fancy stream processing made operationally mundane
- message-queue
- stream-processing
- streaming-data
- message-bus
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Fancy stream processing made operationally mundane
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
Privacy and Security focused Segment-alternative, in Golang and React
RedisShake is a Valkey/Redis data processing and migration tool.
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Apache DevLake is an open-source dev data platform to ingest, analyze, and visualize the fragmented data from DevOps tools, extracting insights for engineering excellence, developer experience, and community growth.
sq data wrangler
Flow collector, enricher and visualizer
Connect your company's data, let an agent draft an ontology over it, and load it into HelixDB as one graph you can explore and ask questions of. Hosted at foundry.helix-db.com, or run it on your own machine.
高性能表格数据导出器
OLake - Fastest Databases, Kafka & S3 Replication to Apache Iceberg with Table optimization (Called OLake Fusion). ⚡ Efficient, quick and scalable data ingestion for real-time analytics. Supported sources : Postgres, MongoDB, MySQL, Oracle, MSSql, DB2, Kafka, S3.
omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.
A fast to develop, fast to run, Go based toolkit for ETL and feature extraction on Hadoop.
go-etl is a toolset for data extraction, transformation and loading.
🇪🇺 Warehouse-native Analytics compatible with Google Analytics and Matomo tracking protocols. Ingest into ClickHouse, BigQuery or CSV/Parquet on S3/GCS/local fs while maintaining complete control over your data.
Go tool + library that publishes GIS vector data to GeoServer via PostGIS — walks a directory of shapefile / GeoJSON / GeoPackage / KML, loads each into PostGIS via GDAL/OGR, then registers the resulting tables as GeoServer feature types. Idempotent. Tested on GeoServer 2.27 LTS + 2.28 stable.
Track Go benchmark performance over time by storing results in InfluxDB
Just swoof it in