DataPress is a software publisher whose catalog centers on a single, focused product: DataPress, a fast multi-backend HTTP server designed to expose data stored in Parquet and Delta datasets over the web. The tool supports two interchangeable query engines, DuckDB and DataFusion, allowing users to choose the processing backend that best fits their performance characteristics, SQL compatibility requirements, or deployment environment. By serving analytical datasets directly through HTTP endpoints, DataPress fits a common category of data infrastructure software that bridges the gap between file-based data lakes and the applications, dashboards, or services that need to query them. Typical use cases include publishing read-only analytical data to internal teams, powering lightweight data APIs without deploying a full database cluster, enabling ad hoc SQL access over columnar files, and providing a simple interface for business intelligence tools or data science workflows that consume results over standard web protocols. Because Parquet and Delta Lake are widely adopted formats in modern data engineering, the product is naturally suited to organizations that already store curated datasets in these formats and want a low-overhead way to make them queryable without additional data movement or complex ETL pipelines. As a single-package publisher, DataPress concentrates its development effort on this specialized niche of data serving and query infrastructure, appealing to data engineers, platform teams, and developers who value a minimal, purpose-built server over heavier alternatives. Further details, documentation, and distribution information are available on the publisher's website at https://datap-rs.org/.
Fast multi-backend (DuckDB / DataFusion) HTTP server over Parquet and Delta datasets.
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