🏅 Best ETL & Data Integration

Kafka-compatible streaming data platform without Zookeeper.

High-performance open-source time series database with Kafka integration.

Streaming SQL analytics platform for real-time data pipelines.

Cloud-native streaming database for real-time ETL with SQL.

Operational data warehouse for real-time SQL on streaming data.

Streaming SQL engine for Apache Kafka — build real-time apps.

Real-time stream processing and in-memory data grid platform.

Managed stream processing platform based on Apache Flink.

Python-native stream processing framework for real-time data pipelines.

Open-source data orchestration platform for declarative workflow scheduling.

Managed Airbyte service for syncing data without infrastructure setup.

Open-source Python library for building data loading pipelines fast.

Serverless CDC and replication service for Cloud SQL and AlloyDB.

Data scripting language for querying, analysing, and writing data.

Cross-language in-memory columnar data format for analytics.

Parallel computing library for scaling pandas and Python analytics.

Speed up pandas workflows with distributed computing on Ray or Dask.

Extremely fast DataFrame library in Rust with a Python API.

In-process analytical database for running SQL on local data files.

Python DataFrame API abstracting over 15+ query engines and databases.

Unified abstraction layer for distributed computing on Spark and Dask.

Open-source Python framework for reproducible data science pipelines.

Open-source MLOps framework for building portable ML pipelines.