Overview
Product demo
Building real-time data analytics on top of Airfold.
Hundreds of AWS customers across industries are using the Airfold Data Platform to power their product.
Single, Fully Managed Platform: Built on the world's fastest data warehouse ClickHouse, Airfold completely manages your data infrastructure in the cloud enabling your team to build products faster while reducing costs.
Serve SQL Queries over APIs: Turn any SQL query into scalable API endpoint without writing backend code or managing web services. Your data team can now build and deploy APIs in minutes instead of weeks in one fully managed data platform.
Ingest Data in Real-time: Ingest into Airfold millions of events per second from 100+ sources including Snowflake, Kafka, S3, Databricks, or directly over API, without worrying about batching or scheduling.
Define Data Pipelines as Code: Define your real-time data pipelines in simple, declarative code enabling your teams to collaborate with version control and CI/CD just like any software project. This brings software engineering best practices to data engineering.
Make Any Data SQL-Ready: Stop struggling with unstructured data. Airfold's AI automatically converts documents, logs, and other unstructured data into SQL tables. This means you can query any type of data using standard SQL, without writing complex parsing code or separate ETL pipelines.
Highlights
- SINGLE, FULLY MANAGED PLATFORM: Built on the world's fastest data warehouse ClickHouse, Airfold completely manages your data infrastructure in the cloud enabling your team to build products faster while reducing costs.
- INGEST DATA IN REAL-TIME: Ingest into Airfold millions of events per second from 100+ sources including Snowflake, Kafka, S3, Databricks, or directly over API, without worrying about batching or scheduling.
- DEFINE DATA PIPELINES AS CODE: Define your real-time data pipelines in simple, declarative code enabling your teams to collaborate with version control and CI/CD just like any software project. This brings software engineering best practices to data engineering.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.