DataPress DataPress

DataPress is a software tool designed to convert Parquet and Delta datasets stored in object storage into fast, typed HTTP APIs. These APIs can be accessed via JSON or Arrow IPC formats, providing efficient data retrieval without the need for a warehouse or service layer.

Key Features:

• Transforms Parquet and Delta datasets into typed HTTP APIs.
• Supports multiple storage types, including S3-compatible buckets.
• Offers two backend engines (DuckDB and Apache Arrow + DataFusion) for flexible query processing.
• Includes secure authentication via OIDC/OAuth2 bearer scopes.
• Enables streaming capabilities through Arrow IPC for fast analytics pulls.
• Available for easy installation using WinGet, ensuring seamless deployment.

Target Audience and Benefits: DataPress is ideal for data engineers, app developers, analytics teams, and business users. It allows data engineers to publish curated datasets directly from pipelines, enabling them to own their domain's data product without relying on a central team. App developers benefit from a stable HTTP contract, eliminating the need for embedding storage readers or SQL engines in every application. Analytics engineers can leverage Arrow-native bulk pulls for notebooks and jobs, while business teams gain governed, documented, and discoverable data products.

By using DataPress, users achieve faster API access, reduced engineering time, and scalable solutions tailored to their specific needs.