---
title: Data engineering & ETL | Tiger Data Docs
description: Use your ETL tools and data pipelines with Tiger Data
---

The guides below show how to connect ETL (extract, transform, load) and data pipeline tools to Tiger Data products, enabling you to move, transform, and load data from sources like Kafka, Airflow, or serverless functions into Tiger Data for analytics and time-series workloads.

## Integrations

[Amazon SageMaker](/docs/integrate/data-engineering-etl/amazon-sagemaker/index.md)

[Build, train, and deploy ML models with time-series data storage and analysis](/docs/integrate/data-engineering-etl/amazon-sagemaker/index.md)

[Apache Airflow](/docs/integrate/data-engineering-etl/apache-airflow/index.md)

[Author, schedule, and monitor workflows to orchestrate your data pipelines](/docs/integrate/data-engineering-etl/apache-airflow/index.md)

[Apache Kafka](/docs/integrate/data-engineering-etl/apache-kafka/index.md)

[Stream, process, and analyze real-time event data from Apache Kafka topics](/docs/integrate/data-engineering-etl/apache-kafka/index.md)

[AWS Lambda](/docs/integrate/data-engineering-etl/aws-lambda/index.md)

[Run serverless code to process and store your data without managing infrastructure](/docs/integrate/data-engineering-etl/aws-lambda/index.md)

[Debezium](/docs/integrate/data-engineering-etl/debezium/index.md)

[Capture and stream database changes in real time for event-driven architecture](/docs/integrate/data-engineering-etl/debezium/index.md)

[Decodable](/docs/integrate/data-engineering-etl/decodable/index.md)

[Build and manage real-time data pipelines to stream and process your data effortlessly](/docs/integrate/data-engineering-etl/decodable/index.md)

[Supabase](/docs/integrate/data-engineering-etl/supabase/index.md)

[Run real-time analytical queries across databases using foreign data wrappers](/docs/integrate/data-engineering-etl/supabase/index.md)