DeltaForge runs your business questions directly on the data your pipelines already write. No second warehouse, no managed cluster, no vendor between you and your data.
Three changes you can describe to a board in plain language
Power BI, Tableau, and Excel connect straight to the data your pipelines already produce. There is no separate database to load, schedule, or reconcile against the source.
You pay for the seconds a query actually runs, not for a cluster on standby. The same workload runs roughly five times faster than Spark on standard read benchmarks, so each question costs less to ask.
Every release is checked against Apache Spark across thousands of read and write scenarios, with expected values produced outside the engine. The receipts are public.
No glossy ROI study, no promised future. These are numbers anyone can reproduce on their own hardware with the published harness, on plain Delta tables your team can inspect.
Per-query, per-row, and per-API charges are not part of the cost model. Compute is metered as core-seconds while a query runs, so an idle DeltaForge node bills nothing. Combined with the read and write speed-ups, this is where the lakehouse stops paying twice for the same answer.
The categories an executive actually evaluates
You pay for the seconds a query runs, not for clusters on standby. The separate data warehouse and its license leave the budget. No per-row scan fees, no per-query surcharge, no minimum cluster uptime.
Self-hosted in your cloud account, on-premises, or air-gapped. Your data, your metadata, and your query workloads all stay on infrastructure you control. There is no managed SaaS reading the contents of your tables.
Engine source available under Apache 2.0, auditable end to end. Every release is checked against Apache Spark on thousands of scenarios in both directions, with expected values derived outside the engine.
Tools like Claude, Cursor, and Copilot connect to your catalog and run SQL directly through the built-in MCP server. There is no bespoke retrieval layer to build, secure, or maintain.
Your team's existing SQL skills work on day one. The grammar matches PostgreSQL, and dashboards, scripts, and BI tools connect through the standards they already use.
Data lives in Delta Lake and Apache Iceberg on disk. No proprietary file format that locks the data to one engine. Spark, Trino, and DuckDB can read it tomorrow.
The Community license is free, runs on your own infrastructure, and includes every feature in the paid plans.