mnemiq vs SQLer
mnemiq
agenticfabriq.comSQLer
daax.aiSide by side
| Figure | mnemiq | SQLer |
|---|---|---|
| Price from | Free | $199/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 5 |
| Spec score · AI SQL Generators | 7.8 (#8) | 7.7 (#12) |
| Company | The mnemiq page identifies Agentic Fabriq as its maintainer; the opened maker pages did not state a headquarters or founding year. | DaaX describes itself as an AI startup headquartered in Silicon Valley and gives an address in Santa Clara, California. |
| Database support | The page lists PostgreSQL, SQLite, DuckDB, Oracle, Snowflake, and Databricks, with DuckDB as the universal executor. | The product page lists MS SQL, MySQL, PostgreSQL, and SQLite. |
| 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. | SQLer turns natural-language questions into SQL for relational databases. |
Plans
SQLer
- FreeFree
- Lift-Off$199 a month
- Growth$399 a month
- Turbo$899 a month
- CustomPriced 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.
SQLer
SQLer turns natural-language questions into SQL for relational databases, giving developers a way to add question-to-query generation to an application. It lists MS SQL, MySQL, PostgreSQL and SQLite. Developers can supply company vocabulary, business rules, schema descriptions and question-to-SQL examples to shape generation. Schema information can be set up through direct connection, GATHERer or manual upload of SQL DDL files, and refreshed as schemas and metadata change. GATHERer runs as a Kubernetes container in the customer's application environment and transfers gathered setup information to SQLer with developer permission. SQLer generates SQL for the customer's application to execute; its product page says results remain in the customer's environment and lists single-tenant security. When a schema spans separate databases, separate queries are required for each database. DaaX reports 96% equivalence to expert-written SQL on a customer benchmark of 300 production queries. SQLer is available through web and API platforms. Its free plan includes 50 NL2SQL queries per month; paid plans start at $199 a month for 2,500 monthly queries.