IDERA AI SQL Query Generator vs mnemiq
IDERA AI SQL Query Generator
idera.commnemiq
agenticfabriq.comSide by side
| Figure | IDERA AI SQL Query Generator | mnemiq |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 2 |
| Spec score · AI SQL Generators | 7.6 (#13) | 7.8 (#8) |
| Company | IDERA describes itself as a division of Idera, Inc. | The mnemiq page identifies Agentic Fabriq as its maintainer; the opened maker pages did not state a headquarters or founding year. |
| Purpose | The tool turns natural-language questions into SQL queries. | 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. |
Plans
In their own words
IDERA AI SQL Query Generator
IDERA AI SQL Query Generator is a free web tool that turns plain-English questions into SQL drafts. Users can enter table and column names to provide schema context, then ask what they want to query. The AI model generates SQL that can be copied, edited, or regenerated before the user runs it in a separate database. The tool does not connect to or execute queries against that database. No installation is required, but a modern browser and internet connection are needed. IDERA says limits apply to keep the free tool available, without stating their values on the product page. Prompts and outputs may be logged anonymously for quality, while supplied details are not retained long term. IDERA describes the generator as a way to make SQL querying more accessible and reduce the learning curve for teams. Help is available through community forums and an email contact.
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.