mnemiq vs Savvina AI
mnemiq
agenticfabriq.comSavvina AI
savvina.aiSide by side
| Figure | mnemiq | Savvina AI |
|---|---|---|
| Price from | Free | €39/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 5 |
| Spec score · AI SQL Generators | 7.8 (#8) | 8.0 (#6) |
| Purpose | mnemiq 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
Savvina AI
- CommunityFree
- Starter€39 a month
- Team€249 a month
- Business€1,299 a month
- EnterprisePriced on request
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.
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.