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Savvina AI vs SQLAI.ai

Savvina AI

savvina.ai

SQLAI.ai

sqlai.ai

Side by side

FigureSavvina AISQLAI.ai
Price from€39/mo$4/mo
Free planYes—
Free trial—Yes
Open source——
WebYesYes
APIYesYes
Self-hostedYes—
Plans published58
Spec score · AI SQL Generators8.0 (#6)7.7 (#11)
SupportSupport ranges from GitHub community support on Community to dedicated support on Enterprise.The About page lists [email protected] and a contact form for questions and ideas.

Plans

Savvina AI

  • CommunityFree
  • Starter€39 a month
  • Team€249 a month
  • Business€1,299 a month
  • EnterprisePriced on request

Savvina AI pricing →

SQLAI.ai

  • Hobby$4 a month
  • Starter$6 a month
  • Explorer$10 a month
  • Pro$20 a month
  • Hobby$50 a year
  • Starter$80 a year
  • Explorer$120 a year
  • Pro$240 a year

SQLAI.ai pricing →

In their own words

Savvina AI

Savvina AI turns plain-English questions into SQL and returns database results within the customer’s own environment. It supports follow-up queries, validates SQL as read-only, and adds LIMIT clauses automatically. Results can appear in eight chart types, from bar and line charts to gauges and numeric displays. The product lists 22 data sources, including PostgreSQL, BigQuery, Snowflake, MongoDB, Amazon S3, and Google Cloud Storage. Customers bring their own LLM provider; listed choices include Anthropic, OpenAI, Google, Ollama, OpenRouter, and vLLM. Plans run on customer infrastructure through Docker. Savvina says the LLM receives schema details rather than query results; users can exclude schemas, tables, or columns from prompts, and sensitive values are masked in results. Database passwords and API keys are encrypted at rest. The free Community plan is limited to one user and PostgreSQL and MySQL. Paid plans start at €39/mo, with no free trial. Enterprise pricing is custom and includes multiple deployments and air-gapped licenses.

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SQLAI.ai

SQLAI.ai is a web and API toolbox for generating and working with SQL and NoSQL queries. Its text-to-SQL generator turns plain-language requests in many languages into queries; other tools optimize, validate, format, explain, and convert them. The SQL optimizer offers index-aware rewrites and explains performance changes. Database rules, schema autosuggest, a VS Code-style editor, side-by-side diff view, and large-schema support provide additional query tools. Its directory lists 28 database engines, including MySQL, PostgreSQL, SQL Server, Oracle PL/SQL, and MongoDB; some support live connections and others schema-only workflows. Users can run natural-language queries against connected databases, and the site recommends read-only connections for improved security. The company says it stores schemas rather than actual database data and encrypts credentials routed through a proxy. The public API uses an access token in a request header; API requests cost 3 credits per query or 5 for very large schemas. Hobby costs $4 a month and includes 50 queries per month; a 7-day trial is listed, but no free plan.

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