Savvina AI

Savvina AI turns plain-English questions into SQL and returns results from databases running in your own environment. It is best for teams that need conversational analytics without sending query results to an external model. The trade-off is a steep climb from a tightly capped free edition to paid plans, with no free trial.

Overview

Savvina combines multi-turn questions with read-only SQL validation and automatically added LIMIT clauses. These controls help keep exploratory queries bounded, but they do not replace decisions about who should have access to which data. Results can be presented in eight chart types, including bar, line, area, pie, scatter, combo, number and gauge.

Customers bring their own LLM, choosing from providers such as Anthropic, OpenAI, Google, Ollama, OpenRouter and vLLM. Savvina says the model receives schema information rather than query results, and that results are never sent to external models. Users can omit schemas, tables or columns from prompts, while 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.

All plans run on customer infrastructure through Docker; 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 and offline-signed licenses, a meaningful distinction for organizations that cannot make that provider connection.

Key features

The product lists 22 data source types, including PostgreSQL, BigQuery, Snowflake, MongoDB, Amazon S3 and Google Cloud Storage. That breadth can suit teams querying across different database and storage systems, but access to the full catalog starts with Team; Starter lets customers choose three types, while Community is limited to PostgreSQL and MySQL.

Conversational follow-up questions, read-only validation and automatic LIMIT clauses make Savvina more appropriate for bounded analytics than unrestricted database administration. Charts help users interpret results without exporting them first. Schema exclusions and masking add useful control over model context and displayed values, though the customer remains responsible for deployment and access governance.

Pricing

Community is free for one user, PostgreSQL and MySQL, unlimited connections and GitHub community support. It is a low-cost way for an individual to start, but not a practical team tier if users need other sources or email support.

Starter costs €39 a month, billed €39/month, or an annual equivalent shown as ~€31/month with annual billing charged once yearly. It supports up to five users, three data source types of choice, unlimited connections, an audit log and email support. This is the entry point for a small team needing basic governance and support, with the source-type cap the main compromise.

Team costs €249 a month, billed €249/month, or ~€199/month equivalent with annual billing charged once yearly. It raises the limit to 25 users and includes all 22 source types, SSO, an audit log, unlimited connections and priority email support. The price jump over Starter is substantial, but it is the first plan suited to a larger group that needs SSO and the full connector range.

Business costs €1,299 a month, billed €1,299/month, or ~€1,039/month equivalent with annual billing charged once yearly. It provides unlimited users, all 22 sources, SSO, API and MCP, exportable audit logs, unlimited connections and SLA-backed priority support. This is aimed at organization-wide use where those integrations and support terms justify the much higher monthly commitment.

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. The multiple-deployment allowance matters because one license covers one deployment on other plans.

There is no free trial on paid plans. Production evaluations are arranged with Savvina using an evaluation license, so teams should plan an evaluation rather than expect to activate a trial themselves.

Platforms

Savvina is offered through web, API and self-hosted deployments. Docker-based customer-side deployment is central to its appeal for teams that want to keep database results in their own environment; Enterprise extends that model to air-gapped use.

Who it's for

Savvina suits operations, data, engineering, finance, healthcare, HR and other teams that need to ask questions of organizational data while keeping results in-house. It is especially compelling when customer-side deployment, schema controls and masking are requirements. It is a weaker fit for individuals or small teams that need broad source access at minimal cost, or buyers who want to evaluate a paid tier through a standard free trial.

Pros and cons

• Pros: Customer-side Docker deployment across plans keeps the deployment under the customer's control.
• Pros: Schema exclusions, masked values and the stated separation between schema context and query results give teams specific controls over model exposure.
• Pros: Multi-turn querying, read-only validation, automatic LIMIT clauses and eight chart types support bounded exploration and readable results.
• Cons: Community is restricted to one user and PostgreSQL or MySQL, limiting its usefulness as a shared evaluation tier.
• Cons: The full 22-source catalog and SSO begin at Team, priced at €249 a month.
• Cons: Paid plans have no free trial, and one license covers only one deployment outside Enterprise.

Alternatives

Browse AI SQL Generators for the broader category. Choose Natural Language SQL if a free, GPL-3.0 open-source project with local installation is a better fit than Savvina's paid team tiers.

Outerbase AI has a free tier for up to five users, but limits it to one base, 10 EZQL queries a month, three saved queries and one dashboard. NatureQuery offers a free tier with 50 queries per month and one database connection, making it a different option for buyers willing to work within a query quota.

SQL Mocker starts free with one user and 50 AI queries total, while SQLer provides 50 NL2SQL queries per month on its free plan. Wren AI is worth considering for its free open-source context engine for individual developers, used through CLI and MCP without a UI.

QueryPlane offers a free tier for up to three apps, one database connection and 50 AI prompts per month. IDERA AI SQL Query Generator is a free web option for readers seeking a simpler price commitment.

Verdict

Choose Savvina if your team needs conversational SQL on customer infrastructure and values controls over schema context and returned values. Its broad connector catalog, bounded query approach and enterprise deployment options make a coherent package for organizations keeping analytics in-house. Look elsewhere if you need an inexpensive shared tier, a conventional paid-plan trial or multiple deployments without an Enterprise contract.