Savvina AI

Savvina AI turns plain-English questions into SQL for teams that want to query databases inside their own environment. It is best suited to organizations that need control over data exposure and deployment, though Community’s single-user and two-database-type limits make it a narrow starting point.

Overview

Rather than sending database results to an external model, Savvina says it sends the configured LLM schema information only. Customers choose their own provider, including Anthropic, OpenAI, Google, Ollama, OpenRouter and vLLM. Users can exclude schemas, tables and columns from prompts, and sensitive values are masked in returned results. Database passwords and API keys are Fernet-encrypted at rest and decrypted into memory when a query is dispatched.

Every plan runs on customer infrastructure through Docker, and Savvina says it does not touch customer data. Community Edition makes no external calls except to the configured LLM provider API. Enterprise adds air-gapped deployment with offline-signed licenses, which is the relevant option for organizations that cannot make that provider connection.

Key features

Multi-turn natural-language querying lets users refine questions in conversation. Read-only SQL validation and automatically injected LIMIT clauses constrain queries, a useful guardrail for exploratory use rather than a substitute for access governance. Results can appear in eight chart types: bar, line, area, pie, scatter, combo, number and gauge.

Savvina lists 22 data sources, including PostgreSQL, BigQuery, Snowflake, MongoDB, Amazon S3 and Google Cloud Storage. The breadth makes it more useful to teams working across different systems, but access to all 22 is reserved for Team and higher; Starter allows three chosen source types, while Community supports PostgreSQL and MySQL.

Pricing

Community is free and includes one user, PostgreSQL and MySQL, unlimited connections and GitHub community support. It offers a way to begin without a subscription, but the single seat and two supported database types limit its suitability for a working team.

Starter costs €39/month, billed monthly, or about €31/month equivalent with annual billing charged once yearly. It raises the cap to five users and three chosen data source types, with unlimited connections, an audit log and email support. It suits a small group with a limited mix of systems; the narrow source allowance is the main trade-off.

Team costs €249/month, billed monthly, or about €199/month equivalent with annual billing charged once yearly. It supports up to 25 users, all 22 data source types, unlimited connections, SSO, an audit log and priority email support. This is the more practical tier for a larger team or one needing SSO and broader integrations.

Business costs €1,299/month, billed monthly, or about €1,039/month equivalent with annual billing charged once yearly. It adds unlimited users, API and MCP, an exportable audit log and SLA-backed priority support to the Team feature set. Its price and higher-level controls make it a choice for organizations that need those capabilities, not simply more database connections.

Enterprise has custom pricing on an annual contract. It includes everything in Business, plus multiple deployments, offline-signed air-gapped licenses, white-labeling and dedicated support. One license covers one deployment; multiple deployments require Enterprise.

There is no free trial for paid plans. Production evaluations are arranged with Savvina using an evaluation license, so buyers should plan that step rather than expect a self-serve trial.

Platforms

Savvina is available as a web product, API and self-hosted deployment. Docker-based customer infrastructure across all plans is a strong fit for teams that want to keep the application and database environment under their control.

Who it's for

Operations, data, engineering, finance, healthcare, HR and other teams can use Savvina when they need analytics while keeping data in-house. Community is most appropriate for an individual using PostgreSQL or MySQL; Starter fits a small group with up to three source types. Teams needing SSO, all source types or larger seat counts should look at Team or Business. Organizations requiring multiple deployments or air-gapped operation need Enterprise.

Pros and cons

• Pros: Customer-hosted deployment on every plan keeps the deployment in the customer’s environment.
• Pros: Schema exclusions and masked returned values offer specific controls over what reaches prompts and users.
• Pros: Read-only validation and automatic LIMIT clauses add useful constraints to natural-language querying.
• Cons: Community is limited to one user and PostgreSQL or MySQL, so it is not a broad team evaluation tier.
• Cons: Starter supports only three data source types; access to all 22 begins at €249/month.
• Cons: Paid plans have no free trial, and multiple deployments require an Enterprise contract.

Alternatives

For a broader comparison, see AI SQL Generators.

• Natural Language SQL is worth considering if a free, GPL-3.0 open-source project with local installation is the priority.
• Outerbase AI may suit someone seeking a freemium option with a free tier for up to five users, one base and 10 EZQL queries per month, limited to transactional databases.
• NatureQuery offers a free tier with 50 queries per month, one database connection, Excel and CSV export, and 30-day query history.
• QueryPlane has a free self-hosted and web tier with up to three apps, one database connection and 50 AI prompts per month, plus a free trial.
• SQL Mocker offers a free web tier with one user, 50 total AI queries and five saved projects.
• SQLer has a free API and web tier with 50 NL2SQL queries per month.
• Wren AI offers an open-source context engine for individual developers through CLI and MCP, without a UI.
• IDERA AI SQL Query Generator is a free web option.

Verdict

Savvina AI is a strong fit for teams that want natural-language database querying without moving the application off their own infrastructure, especially when schema controls and masking matter. Its main draw is that deployment model combined with specific prompt and result controls. Look elsewhere if you need a self-serve paid trial, multiple deployments below Enterprise, or all 22 data source types at a lower tier.