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What is Airfold?
Airfold is a modern data platform designed to help you ship real-time analytics faster than any data warehouse or data lake.
Airfold makes it easy to ingest your batch and streaming data, use SQL to aggregate and join that data, and have the results instantly available as APIs.
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Core Features of Airfold
- Ingestion - Send thousands of events per second directly to Airfold without ever worrying about batching or scheduling.
- Pipelines - Build SQL and AI pipelines directly in Airfold, using a declarative syntax that makes it easy to maintain and collaborate.
Airfold pipelines are like dbt
but for real-time. Or like Terraform
for data pipelines,
a sort of “data pipelines as code” that similarly integrates with Git and PR-oriented development that engineers know and love.
- Publish - Publish the result of any pipeline as a low-latency, highly concurrent endpoint. With automatically generated Swagger. Those can be easily shared with your team and look like any other REST endpoint, hiding all the complexity from your users.
- Observability - Monitor the health of your pipelines and endpoints in real-time with latency, error, and throughput metrics.
- Collaboration - Use the UI to explore all the pipelines in your team, including dependency graph, descriptions, schemas, SQL, etc. Onboard new members quickly, share easily, collaborate seamlessly.
- Git - Use
git
to version Airfold files, and easily utilize the Airfold CLI in your CI to push changes into an Airfold workspace whenever changes are merged intomain
. This enables a PR-oriented workflow that is familiar to developers.