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Tags: ETL
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1–24 of 25 · Most stars

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.

ingestr is a CLI tool to copy data between any databases with a single command seamlessly.

  • bigquery
  • copy-database
  • data-ingestion
  • data-integration

The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.

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

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.

  • flow
  • rust
  • rust-lang
  • stream

:lipstick: Durable and asynchronous data imports for consuming data at scale and publishing testable SDKs.

  • porter
  • data-import
  • framework
  • data-transformation

Neo4j Connector for Apache Spark, which provides bi-directional read/write access to Neo4j from Spark, using the Spark DataSource APIs

  • spark
  • neo4j-connector
  • cypher
  • neo4j-driver

This is a library that provides generic functionalities for the implementation of imports. In addition to maximum performance and optimized memory consumption, Pacemaker can also be used to implement imports in distributed scenarios that place the highest demands on speed and stability.

🇪🇺 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.