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Chion vs mnemiq

Chion

chion.ai

mnemiq

agenticfabriq.com

Side by side

FigureChionmnemiq
Price from$29/moFree
Free plan—Yes
Free trialYes—
Open source——
WebYesYes
API—Yes
Self-hosted—Yes
Plans published42
Spec score · AI SQL Generators8.2 (#4)7.8 (#8)

Plans

Chion

  • Starter$29 a month
  • Pro$99 a month
  • Max$299 a month
  • EnterprisePriced on request

Chion pricing →

mnemiq

  • mnemiqFree
  • Verity and Agentic Fabriq control planePriced on request

mnemiq pricing →

In their own words

Chion

Chion turns plain-English questions about PostgreSQL into code-validated, read-only SQL and interactive D3 charts, displaying the SQL beneath each chart. It connects directly to PostgreSQL without ETL or a warehouse copy, supporting Amazon RDS, Azure Database for PostgreSQL, Google Cloud SQL, Neon, Supabase, and self-hosted PostgreSQL. Validators reject statements that are not read-only SELECT queries before database execution. Results are limited to 1,000 rows or 12,000 cells. Eight built-in chart types include line, area, bar, and animated bar-race formats. Saved queries can become portable SQL skill files for Claude Code and Codex. Chion runs in the cloud through the web. Starter costs $29/seat/mo, Pro $99/seat/mo, and Max $299/seat/mo, each with a seven-day trial; Enterprise uses custom per-team pricing. Credentials are encrypted in an AES-256-GCM vault, while Chion says it is not SOC 2 certified and does not support HIPAA workloads.

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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.

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