Airfold lets you ingest your data as it's generated, and convert your SQL queries into APIs capable of handling thousands of concurrent requests.
No more juggling data around, struggling with performance, or building complex integrations. Airfold is as simple as SQL.
Send thousands of events per second directly to Airfold without ever worrying about batching or scheduling. Or sync your data from Kafka, S3, Snowflake, and BigQuery.
Define SQL pipelines in YAML. Think of it like dbt, but for real-time processing. Or like Terraform, but for "data pipelines as code". These files can be versioned with Git, just like any other source code.
Publish the result of any pipeline as a low-latency, highly concurrent REST API. Those APIs can be easily shared with your team, with a generated Swagger. They don't even need an Airfold account to call it.
Build any data SaaS on top of Airfold faster than it'd take to buy and integrate that SaaS.
Serve online features in real-time to your models.
Detect fraud, monitor ML, automate alerts, monitor user acitivty.
Unify customer data across many sources.
Discover trends, serve recommendations, segment users.
Cayla Schuval, MLOps Engineer at Klaviyo