Natural Language SQL
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| Fact | Natural Language SQL | Savvina AI |
|---|---|---|
| Deployment | The recommended Docker setup requires Docker 20.10 or later with Compose v2 and about 10 GB of free disk space. | All plans run on the customer’s own infrastructure via Docker, and the pricing page says Savvina does not touch customer data. |
| Purpose | The engine turns plain-English database questions into SQL, validates and executes the query, and streams back results. | Savvina AI turns plain-English questions into SQL and returns database results within the customer’s own environment. |
It suits users who want to ask questions of PostgreSQL or MySQL databases in plain English and inspect SQL before running it. Local Ollama is a fit for those who want questions, schema, and generated SQL to remain on their machine.
Savvina AI is aimed at teams that want analytics while keeping data in-house, including operations, data, engineering, finance, healthcare, and HR teams. It suits users who can provide their own LLM provider and deploy through Docker on their infrastructure.