Data engineering & ETL

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

Build, train, and deploy ML models with time-series data storage and analysis

Apache Airflow

Author, schedule, and monitor workflows to orchestrate your data pipelines

Apache Kafka

Stream, process, and analyze real-time event data from Apache Kafka topics

AWS Lambda

Run serverless code to process and store your data without managing infrastructure

Debezium

Capture and stream database changes in real time for event-driven architecture

Decodable

Build and manage real-time data pipelines to stream and process your data effortlessly

Supabase

Run real-time analytical queries across databases using foreign data wrappers