Savvina AI

Savvina AI turns plain-English questions into SQL and returns database results within the customer’s own environment. It supports follow-up questions, validates generated SQL as read-only, and automatically adds LIMIT clauses. Results can appear in eight chart types, including bar, line, area, pie, scatter, combo, number, and gauge. The product lists 22 data sources, including PostgreSQL, BigQuery, Snowflake, MongoDB, Amazon S3, and Google Cloud Storage. Customers bring their own LLM provider; listed options include Anthropic, OpenAI, Google, Ollama, OpenRouter, and vLLM. All plans run on customer infrastructure via Docker. Savvina says query results are not sent to external models; the LLM receives schema information instead. Users can exclude schemas, tables, or 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. Community is free for one user and supports PostgreSQL and MySQL. Paid plans start at €39/month; paid plans do not include a free trial. Enterprise pricing is custom.

Savvina AI is designed for teams that want natural-language database queries within their own infrastructure. Check provider requirements and plan limits, especially if using the free Community edition.

Savvina AI is aimed at teams in operations, data, engineering, finance, healthcare, HR, and other fields that need analytics while keeping data in-house.

Savvina AI converts plain-English questions into database queries and displays the results, with deployment kept on the customer’s own infrastructure. It is strongest for teams that need conversational analytics without handing query results to an external model; organizations that need multiple deployments or air-gapped operation will need Enterprise.

Overview

Savvina pairs multi-turn questioning with read-only SQL validation and automatically added LIMIT clauses. Those controls help keep exploratory queries bounded, but they do not replace decisions about who should have access to particular data. Customers bring their own LLM, choosing from providers such as Anthropic, OpenAI, Google, Ollama, OpenRouter and vLLM.

Savvina says the LLM receives schema information rather than query results, and returned results are not sent to external models. Users can exclude schemas, tables and columns from prompts, while sensitive values are masked in 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 via Docker; Savvina says it does not touch customer data.

Key features

Users can refine a question over multiple turns, then view results in eight chart formats: bar, line, area, pie, scatter, combo, number and gauge. That makes the product useful for teams that need both quick answers and visual summaries, without implying a broader reporting or dashboard feature set.

Savvina lists 22 data sources, including PostgreSQL, BigQuery, Snowflake, MongoDB, Amazon S3 and Google Cloud Storage. The breadth is a practical advantage for mixed data environments, but plan access matters: Community is limited to PostgreSQL and MySQL, Starter permits three source types of the customer’s choice, and all 22 are included from Team upward.

Community makes no external calls except to the configured LLM provider API. Enterprise adds air-gapped deployment with offline-signed licenses for organizations that cannot allow that provider connection. The license terms also matter for deployment planning: one license covers one deployment, while multiple deployments require Enterprise.

Pricing

The free Community edition is a focused evaluation option for one user working with PostgreSQL or MySQL. It includes unlimited connections but only GitHub community support; it is less suitable as a shared team tool or for organizations relying on other source types. There is no free trial for paid plans. Production evaluations are arranged with Savvina and use an evaluation license.

Starter costs €39 a month, billed €39/month, or about €31/month equivalent with annual billing charged once yearly. It supports up to five users, three chosen data source types, unlimited connections, an audit log and email support. It is the modest paid step for a small group, but the source-type cap and user ceiling remain meaningful constraints.

Team costs €249 a month, billed €249/month, or about €199/month equivalent with annual billing charged once yearly. It raises the limit to 25 users and includes all 22 sources, SSO, an audit log and priority email support. For teams needing broader source coverage or centralized sign-in, this is the first plan that addresses both; smaller groups may find Starter’s narrower package sufficient.

Business costs €1,299 a month, billed €1,299/month, or about €1,039/month equivalent with annual billing charged once yearly. It includes unlimited users, all 22 source types, SSO, API and MCP, exportable audit logs and SLA-backed priority support. It fits larger deployments that need those capabilities, but the substantial price step makes it difficult to justify for teams that do not need unlimited seats or the added integration and support terms.

Enterprise has custom pricing under an annual contract. It includes everything in Business, plus multiple deployments, offline-signed air-gapped licenses, white-labeling and dedicated support. This is the necessary tier for multi-deployment or air-gapped use rather than a general upgrade for smaller teams.

Platforms

Savvina is offered as an API, a self-hosted product and a web interface. Since every plan runs on customer infrastructure via Docker, it suits organizations that can manage that deployment model; it is not a hosted-only service choice.

Who it's for

Operations, data, engineering, finance, healthcare, HR and other teams can use Savvina to ask questions of databases while keeping data in-house. Its strongest fit is an organization with a clear need for controlled schema exposure and customer-managed deployment. It is a weaker choice for a single user needing sources beyond PostgreSQL and MySQL on the free tier, or for teams unwilling to manage infrastructure and a separately configured LLM provider.

Pros and cons

• Pro: Customer-side Docker deployment and the stated separation of schema context from query results address data-control concerns directly.
• Pro: Excluding selected schemas, tables and columns, plus masking sensitive returned values, gives teams additional controls over prompts and output.
• Pro: Unlimited connections across plans avoid a connection-count cap as teams grow; higher tiers expand users and source access.
• Con: Customers must bring and configure an LLM provider, and Community still makes calls to that provider’s API.
• Con: Community is single-user and limited to two database types; broader source access starts at Starter, while all 22 sources require Team or above.
• Con: Paid plans have no standard free trial, and one license covers only one deployment, making evaluation and rollout planning less flexible.

Alternatives

For a free, locally installed open-source project, consider Natural Language SQL; it is a better fit for readers who prioritize that model over Savvina’s paid tiers and deployment options.

Outerbase AI has a free tier for up to five users, but caps it at one base, 10 EZQL queries per month, three saved queries and one dashboard, and limits it to transactional databases. It may suit a small group wanting a tightly capped free starting point.

SQL Mocker offers a web-based Explore plan with one user, 50 total AI queries and five saved projects, making it an option for a limited individual trial.

Wren AI is worth considering for its free open-source context engine for individual developers, available through CLI and MCP without a UI.

NatureQuery offers a free plan with 50 queries monthly, one database connection, exports and 30-day query history; choose it if those defined caps suit the workload.

QueryPlane has a free self-hosted plan for up to three apps, one database connection and 50 AI prompts per month, a fit for readers whose needs fall within those limits.

SQLer offers a free allowance of 50 natural-language-to-SQL queries per month, which may suit users who want a query-capped free tier.

IDERA AI SQL Query Generator is a free web-based alternative.

Browse AI SQL Generators for more options.

Verdict

Savvina AI is a strong choice for teams that want conversational database querying inside their own infrastructure, with controls over schema prompts and returned values. Choose it when those deployment and data-handling priorities outweigh the cost of paid tiers and the need to supply an LLM provider. Look elsewhere if you need a conventional free trial, multiple deployments below Enterprise, or a free plan that supports more than PostgreSQL and MySQL.