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mnemiq vs Savvina AI

mnemiq

agenticfabriq.com

Savvina AI

savvina.ai

Side by side

FiguremnemiqSavvina AI
Price fromFree€39/mo
Free planYesYes
Free trial——
Open source——
WebYesYes
APIYesYes
Self-hostedYesYes
Plans published25
Spec score · AI SQL Generators7.8 (#8)8.0 (#6)
Purposemnemiq is an open-source text-to-SQL engine for enterprise data agents that can be configured and measured on a user's own database.Savvina AI turns plain-English questions into SQL and returns database results within the customer’s own environment.

Plans

mnemiq

  • mnemiqFree
  • Verity and Agentic Fabriq control planePriced on request

mnemiq pricing →

Savvina AI

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

Savvina AI pricing →

In their own words

mnemiq

mnemiq is an open-source text-to-SQL engine for enterprise data agents, configured and measured against a user's own database. Before execution, a deterministic check verifies that proposed SQL is read-only, uses permitted objects, compiles in the source dialect, and passes EXPLAIN. Access permissions apply before schema retrieval, so the model is not shown tables the caller cannot access. Each answer includes the SQL run, the tables it touched, and the enrichment version used. mnemiq can profile columns and build descriptions, grain, glossary terms, and coded-value meanings; a human owner can certify semantic definitions. Listed databases are PostgreSQL, SQLite, DuckDB, Oracle, Snowflake, and Databricks, with DuckDB as the universal executor. Models can use any OpenAI-compatible /v1 endpoint, including local servers such as vLLM, Ollama, llama.cpp server, and LM Studio. Its MCP server offers two read-only, access-scoped tools: db_read(question) and get_schema(). One process can also serve a workbench and HTTP endpoints for asking, chatting, and retrieving schema. The Apache-2.0 engine is free and runs in the user's environment. Local model hosting keeps schemas, questions, and rows inside the user's network, according to the maker.

Visit agenticfabriq.com

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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