Every event lands in your own S3-compatible bucket as compressed Parquet files. Connect any warehouse with standard S3 credentials — no proprietary connectors needed.
POST JSON events via SDK, curl, or fetch. We buffer at the edge and acknowledge in <50ms.
Events are enriched, compressed, and flushed as date-partitioned Parquet files to your own R2 bucket.
Point any warehouse at your bucket with standard S3 credentials. Use glob patterns to read partitioned data.
Your data is stored as compressed Apache Parquet files — the industry standard for analytics. Date-partitioned, columnar, and readable by every major warehouse and data tool.
Snappy-compressed columns for 5-10x size reduction
Files organized by date for efficient range queries
Full schema metadata stored in every file
Use /**/*.parquet patterns for partition pruning
High-performance OLAP for real-time analytics. Query millions of rows in milliseconds.
Serverless data warehouse by Google. Petabyte-scale with zero ops.
In-process analytics database. Run SQL directly on your Parquet files.
Cloud data platform with automatic scaling and data sharing.
Unified analytics platform. Combine data engineering, science, and ML.
Distributed processing engine for large-scale data analytics.
No vendor lock-in. No proprietary formats. Standard S3 access to your own bucket, compatible with every analytics tool.