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10 Best AI SQL Generators of 2026
This list is for analysts and developers who want to type a question in plain English and get SQL that runs on their own tables. It covers web generators (AI2SQL, SQLAI.ai, Text2SQL.ai), AI data analysts for whole teams (BlazeSQL, Hex), AI inside database clients and IDEs (DBeaver, Chat2DB, DataGrip AI Assistant, Supabase AI Assistant) and an open-source framework for building your own SQL agent (Vanna). We compared documented features and published prices for 10 tools. Scores weigh features at 40%, ease of use at 30% and value at 30%.
By the Mojolin research desk · Updated November 12, 2026 · 10 tools compared · Prices checked on vendor pages, latest November 12, 2026
Questions or corrections: editorial@mojolin.com
Mojolin is self-funded How we score
AI2SQL is our top pick for most people: it generates, explains, fixes and optimizes SQL, connects to your own PostgreSQL, MySQL or SQL Server database on Pro for $19 a month, and works from Claude, ChatGPT and Cursor over MCP. SQLAI.ai is the cheapest paid option at $6 a month with unlimited team members. Hex is the best fit for data teams that want SQL, Python and charts in one shared project. DBeaver and Chat2DB put AI SQL help inside free desktop clients, Supabase AI Assistant is the default for Supabase projects, BlazeSQL serves business users who ask questions in Slack or Teams, Vanna is for developers building their own text-to-SQL feature, and DataGrip AI Assistant brings coding agents to DataGrip users.
Top picks
Best overall
AI2SQL
8.8 / 10
Analysts and developers who want plain-English SQL on their real tables at a low monthly price
Read the review →Runner-up
SQLAI.ai
8.7 / 10
Individuals and teams who want the cheapest paid text-to-SQL plan
Read the review →Also great
Hex
8.5 / 10
Data teams who want AI-written SQL inside notebooks, apps and shared analyses
Read the review →Comparison table
| # | Tool | Pricing | Score | |
|---|---|---|---|---|
| 1 | AI2SQL | Analysts and developers who want plain-English SQL on their real tables at a low monthly price | Free plan with 3 queries a day on a demo database; Start $9 a month, Pro $19, Team $39 (25% less billed yearly); Lifetime $29 once | 8.8 |
| 2 | SQLAI.ai | Individuals and teams who want the cheapest paid text-to-SQL plan | Starter $6 a month for 300 queries; Pro $12 for 1,000; Max $32 for 2,500; yearly billing gives 2 months free | 8.7 |
| 3 | Hex | Data teams who want AI-written SQL inside notebooks, apps and shared analyses | Free Community plan; Professional $36 per editor per month; Team $75 per editor per month with a 14-day trial | 8.5 |
| 4 |  DBeaver | Developers and DBAs who want AI SQL help inside a full desktop database client | Free open-source Community edition; DBeaver Lite costs $12 a month or $113 a year | 8.4 |
| 5 |  Supabase AI Assistant | Developers building on Supabase Postgres who want SQL help in the dashboard | Free plan; Pro from $25 a month with the first project included | 8.3 |
| 6 |  Text2SQL.ai | Analysts who want a simple text-to-SQL tool with a local desktop option | See vendor pricing (USD check pending) | 8.2 |
| 7 |  Chat2DB | Developers who want a desktop SQL client with built-in Text2SQL across many databases | See vendor pricing (USD check pending) | 8.1 |
| 8 |  BlazeSQL | Companies that want non-technical staff to ask data questions in Slack, Teams, ChatGPT or Claude | Pro $150 a month; Advanced $250 a month; Team from $400 a month with 3 users | 8.0 |
| 9 |  Vanna | Developers building text-to-SQL into their own product or internal tools | Open-source framework is free; Explorer $50 a month; Team $500 a month; 20% off annual | 7.9 |
| 10 |  DataGrip AI Assistant | DataGrip users who want AI agents and SQL help inside their IDE | See vendor pricing (USD check pending) | 7.8 |
Scoring weights
Every tool gets three editorial scores out of 10, from vendor documentation, product pages and the published price. The overall score is the weighted average below, the same method on every list. Full method
The full ranking
Rank 1 · Best overall
AI2SQL
AI SQL assistant that writes, fixes, explains and optimizes SQL against your own schema and runs it read-only.
ai2sql.io8.8
out of 10
Best for: Analysts and developers who want plain-English SQL on their real tables at a low monthly price
AI2SQL covers the full loop an analyst needs: describe the result in plain English, get SQL using your real table and column names, then run it read-only to check the rows. The home page lists separate steps to generate, explain, optimize, fix and format queries, and the Pro plan adds connections to your own PostgreSQL, MySQL or SQL Server database. AI2SQL also exposes your database to assistants over MCP, so Claude, ChatGPT, Cursor, VS Code and Gemini CLI can write SQL or run live read-only queries through it. Pricing is clear: Start is $9 a month for 100 queries, Pro is $19 a month with unlimited queries, and Team is $39 a month for 5 users with a shared workspace and data masking. Billed yearly the plans drop to $7, $14 and $29. The limits to watch are that Start only writes MySQL and PostgreSQL SQL and does not connect a database, and the 7-day trial asks for a card.
Standout feature
AI2SQL is the best choice for analysts on a budget because Pro gives unlimited SQL queries plus your own database connection for $19 a month.
Use cases
Data analysts
Ask for top customers by revenue against a connected PostgreSQL database
Outcome: SQL using real column names, run read-only to check the rows
Developers
Paste a query that fails with a dialect error
Outcome: A corrected query with an explanation of what broke
Small data teams
Share database connections on the Team plan
Outcome: Five people querying the same sources with masked data for AI agents
Key features
- Generate, explain, optimize, fix and format SQL from one workspace
- Pro connects your own PostgreSQL, MySQL or SQL Server database and runs read-only queries
- MCP access from Claude, ChatGPT, Cursor, VS Code and Gemini CLI
- API keys for your own agents and n8n on Pro and Team
- Team plan includes 5 users, a shared workspace and data masking for AI agents
Pros
- Start plan costs $9 a month with 100 SQL queries
- Pro has unlimited SQL queries for $19 a month
- A one-time Lifetime plan costs $29 for 500 AI queries a month
Cons
- Connecting your own database requires Pro or Team
- The 7-day trial needs a credit card
- Start plan writes SQL only for MySQL and PostgreSQL
Rank 2 · Runner-up
SQLAI.ai
Web app with text-to-SQL, optimizer, validator and explainer generators for 28 database engines.
sqlai.ai8.7
out of 10
Best for: Individuals and teams who want the cheapest paid text-to-SQL plan
SQLAI.ai is the lowest-cost paid option in this list. Starter costs $6 a month for 300 queries, Pro $12 for 1,000 and Max $32 for 2,500, and every tier includes all four generators: text-to-SQL, optimizer, validator and explainer. Plans also include unlimited databases, unlimited team members, database and thread sharing, full history and public API access, so a small team can share one account structure without per-seat costs. The home page says it supports 28 database engines and lists a formatter and an engine-to-engine SQL converter. Two things need attention: a query is a 10,000-token block, so long optimizer runs use several queries, and the 7-day trial requires a payment method. SQLAI.ai keeps database connection strings server-side and says they never reach the model, and it offers a refund within 14 days if you used less than 10% of your monthly allowance.
Standout feature
SQLAI.ai is the best choice for tight budgets because its $6 Starter plan includes text-to-SQL, optimizer, validator and explainer.
Use cases
Students and junior analysts
Turn homework or ticket questions into SQL and read the explanation
Outcome: Working queries plus a clause-by-clause breakdown
Backend developers
Run a slow query through the optimizer with deep analysis
Outcome: An index-aware rewrite validated before it is suggested
Small teams
Share databases and threads on one plan
Outcome: Everyone works from the same schema without paying per seat
Key features
- Four generators on every plan: text-to-SQL, optimizer, validator and explainer
- Deep analysis mode validates optimizer rewrites before recommending them
- Unlimited databases and unlimited team members on every plan
- Public API access on every paid plan
- SQL formatter and converter between database engines
Pros
- Starter plan costs $6 a month with 300 queries
- Every plan includes unlimited team members
- Low-usage refund within 14 days of the first charge
Cons
- Queries are metered in 10,000-token blocks, and optimization starts at 2 queries
- The free trial requires a payment method
- Priority support only on the $32 Max plan
Rank 3 · Also great
Hex
Collaborative data workspace with SQL and Python cells and the Hex agent for AI-assisted analysis.
hex.tech8.5
out of 10
Best for: Data teams who want AI-written SQL inside notebooks, apps and shared analyses
Hex suits analysts whose SQL is the first step of a larger analysis. The Hex agent works inside a notebook-style workspace where SQL cells, Python cells and charts sit together, so a question in plain English can become a query, a chart and a published app in one project. The free Community plan includes a Hex agent trial, any data source connection and small compute. Professional at $36 per editor a month adds the agent with Standard credits, up to 5 published apps and 30-day version history, while Team at $75 per editor adds Extended credits, unlimited apps, visual exploration with drill down, scheduled runs and alerts. Semantic models help the agent use agreed business definitions. The tradeoff is cost and scope: a solo user who only needs SQL written will pay more here than for a dedicated generator, and security features such as SSO and audit logs require Enterprise.
Standout feature
Hex is the best choice for collaborative analytics because its agent writes SQL inside notebooks that also hold Python, charts and published apps.
Use cases
Analytics teams
Ask the Hex agent for a cohort query and chart it in the same project
Outcome: A shareable analysis without moving data between tools
Data scientists
Hand SQL results to Python cells for modeling
Outcome: One notebook from query to model
Operations leads
Publish a scheduled app on the Team plan
Outcome: Stakeholders get refreshed numbers with alerts
Key features
- Hex agent with Standard credits on Professional and Extended credits on Team
- Connect any data source and build with SQL, Python and other cell types
- Published data apps, up to 5 on Professional and unlimited on Team
- Semantic models and visual exploration with drill down
- Scheduled runs and alerts on the Team plan
Pros
- Free Community plan includes a Hex agent trial
- Unlimited users can view work across plans
- SQL results flow straight into charts, Python and apps
Cons
- Professional costs $36 per editor a month, far more than single-purpose SQL generators
- AI usage is metered by credits that grow with the plan
- SSO, audit logs and BYOK are Enterprise-only
Rank 4
DBeaver
Universal database client with an AI Assistant for chat, SQL suggestions, query explanations and error fixes.
dbeaver.com8.4
out of 10
Best for: Developers and DBAs who want AI SQL help inside a full desktop database client
DBeaver adds natural-language SQL to a database client many developers already use. Its AI Assistant documentation lists AI Chat for questions and queries, AI Auto Complete in the SQL Editor, explain query, fix SQL errors, describe object, AI-assisted column mapping during data transfer and custom prompts. You pick the model provider: OpenAI, GitHub Copilot, Azure OpenAI, Google Gemini, Ollama, Anthropic Claude, Amazon Bedrock or Grok, so teams with privacy rules can route requests to a local Ollama model. The Community edition is free and open source, and DBeaver Lite costs $12 a month or $113 a year for the commercial PRO features. The downside is that you bring and pay for the AI provider yourself, and the docs note that some capabilities depend on your subscription. People who never open a database client will find a web generator quicker to learn.
Standout feature
DBeaver is the best choice for privacy-minded teams because its AI Assistant can run on a local Ollama model inside a free client.
Use cases
Backend developers
Ask AI Chat for a query while browsing the schema in the same window
Outcome: SQL written and run without switching tools
DBAs with privacy rules
Point the AI Assistant at a local Ollama model
Outcome: Schema context stays on company hardware
Data engineers
Use Map with AI during a data transfer
Outcome: Suggested column mappings between source and target tables
Key features
- AI Chat to ask questions in natural language and get queries
- AI Auto Complete with SQL suggestions as you type
- Explain query and fix SQL errors with AI
- Bring your own provider: OpenAI, GitHub Copilot, Azure OpenAI, Google Gemini, Ollama, Anthropic Claude, Amazon Bedrock or Grok
- MCP server and AI tools that open wizards and run guided actions
Pros
- Free Community edition is open source
- Choice of eight AI providers, including local models through Ollama
- AI help sits next to a full data editor, ER diagrams and data transfer
Cons
- You supply and pay for the AI provider
- Dense interface takes longer to learn than a web generator
- Some AI capabilities depend on your subscription edition
Rank 5
Supabase AI Assistant
AI assistant in the Supabase Dashboard that writes SQL, debugs errors and creates RLS policies for Postgres.
supabase.com8.3
out of 10
Best for: Developers building on Supabase Postgres who want SQL help in the dashboard
Supabase AI Assistant is the natural pick if your data already lives in a Supabase Postgres project. It sits in the Supabase Dashboard and, according to the feature page, generates SQL for new schemas, suggests queries based on your tables, debugs errors in the SQL Editor, runs natural-language questions and shows the results, and creates or edits Row Level Security policies, functions and triggers. That last part matters for app developers, because RLS policies are where hand-written SQL often goes wrong. The Free plan includes a 500 MB database and 2 active projects, though free projects pause after a week of inactivity, and Pro starts at $25 a month. The limits are scope and maturity: it only works on Supabase projects, the feature page lists it as Public Alpha, and self-hosted installs need your own OpenAI API key.
Standout feature
Supabase AI Assistant is the best choice for Supabase users because it writes SQL, RLS policies and triggers inside the dashboard.
Use cases
App developers
Ask for an RLS policy that lets users read only their own rows
Outcome: A policy drafted against the actual table
Founders
Ask how many users signed up each week in plain English
Outcome: A query run with results shown in the dashboard
Backend developers
Paste a failing statement into the SQL Editor
Outcome: The error explained with a suggested fix
Key features
- Generates SQL for schema designs from your specifications
- Query suggestions based on your schema in the SQL Editor
- Error debugging inside the SQL Editor
- Runs queries from natural language and shows the results
- Creates and edits Row Level Security policies, Postgres functions and triggers
Pros
- Built into the Supabase Dashboard with no separate tool
- Free plan includes a 500 MB database
- Handles RLS policies and triggers, not only SELECT queries
Cons
- Works only with Supabase Postgres projects
- Listed as Public Alpha on the feature page
- Self-hosted use requires your own OpenAI API key
Rank 6
Text2SQL.ai
SQL AI assistant that generates, explains, fixes and optimizes queries from plain language, with a desktop app.
text2sql.ai8.2
out of 10
Best for: Analysts who want a simple text-to-SQL tool with a local desktop option
Text2SQL.ai is a focused assistant for turning questions into SQL, and the home page says more than 256k users have signed up. You add your database schema so the AI uses your real tables, columns and relationships, then ask follow-ups until the query is right. The Pro plan, described in the getting-started docs, includes unlimited messages, SQL generation, explanation, fixing and optimization, 12+ database types, team invites and an API with 100 requests a month included. A desktop app for Windows, macOS and Linux is included with Pro and keeps database credentials on your machine, sending only schema names to the AI providers. A newer Insights view returns the SQL, results, a chart and an explanation together. The main drawback for buyers is that we could not find a public pricing page in USD, so you need to sign up to see the Pro price.
Standout feature
Text2SQL.ai is the best choice for local text-to-SQL because its Pro desktop app sends only schema names, not credentials or data, to AI providers.
Use cases
Data analysts
Ask for monthly signups over the last 12 months
Outcome: A grouped query plus a chart in the Insights view
Security-conscious teams
Connect a local database through the desktop app
Outcome: Credentials and rows stay on the laptop
Developers
Call the API from an internal tool
Outcome: SQL generated from text inside their own product
Key features
- SQL generation, explanation, fixing and optimization
- Database schema connections for queries that match your tables
- Desktop app for Windows, macOS and Linux included with Pro
- Insights view with SQL, results, charts and explanations
- Public API with 100 requests a month included on Pro
Pros
- Desktop app keeps credentials local and sends only schema names to AI providers
- Supports 12+ database types according to the docs
- Multi-language prompts and team invites on Pro
Cons
- Plan prices are not listed on a public pricing page
- Extra API requests cost $0.05 each
- Private deployment and SSO only on Enterprise
Rank 7
Chat2DB
AI-powered database client for Windows, macOS and Linux with Text2SQL, dashboards and a free open-source edition.
chat2db.ai8.1
out of 10
Best for: Developers who want a desktop SQL client with built-in Text2SQL across many databases
Chat2DB combines a desktop database client with built-in AI. The download page says it connects to MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, Redis and more than 20 other databases, and that Pro adds Text2SQL, smart SQL completion and optimization, visual dashboards and team collaboration. The free open-source Community edition covers everyday database management, but its AI requires your own configuration, while Local and Pro have AI ready on installation. Pricing page features include a visual table editor, data migration, AI table creation, Chat2Excel and, for teams, SQL review, approval workflows for database changes and permissions down to fields. A 30-day Pro trial needs no payment information, and students get 50% off. We could not read USD prices from the pricing page as fetched, so check the current Pro price yourself.
Standout feature
Chat2DB is the best choice for a free AI database client because its open-source Community edition connects to 20+ databases.
Use cases
Full-stack developers
Ask for a query across MySQL tables from the desktop client
Outcome: Generated SQL run in the same SQL console
Team leads
Require approval for database changes on the Team plan
Outcome: Schema changes reviewed before they hit production
Students
Learn SQL with Text2SQL at half price
Outcome: Pro features with a verified university email discount
Key features
- Text2SQL that turns natural language into SQL in Pro
- Connects to MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, Redis and 20+ other databases
- Smart SQL completion and optimization
- AI table creation, Chat2Excel and intelligent dashboards
- Team plan with shared SQL, approval workflows and field-level permissions
Pros
- Free open-source Community edition
- 30-day Pro trial without payment details
- 50% off Pro for verified students and academic staff
Cons
- Community edition needs you to configure your own AI
- Prices did not render in USD on the pricing page we checked
- Several editions (Community, Local, Pro, Team) take time to compare
Rank 8
BlazeSQL
AI data analyst that learns your SQL database and answers questions with queries, charts and dashboards.
blazesql.com8.0
out of 10
Best for: Companies that want non-technical staff to ask data questions in Slack, Teams, ChatGPT or Claude
BlazeSQL is closer to an AI data analyst than a query writer. It reads your database structure automatically, starts answering technical users right away, learns from feedback and measures its own accuracy before you roll it out to non-technical staff. Answers can become dashboards, and team plans push answers into ChatGPT, Claude, Slack and Microsoft Teams. Privacy is handled through a desktop app with private connections and an offline mode that keeps query results on your computer, and BlazeSQL states that no models are trained on your data. The cost is the catch: individual Pro is $150 a month and Advanced $250, while Blaze Team is $400 a month with 3 users and $50 per extra user, with a 14-day trial. Team Advanced at $800 adds API, MCP and white labeling, and SSO needs Enterprise.
Standout feature
BlazeSQL is the best choice for self-serve analytics teams because it learns your database and answers in Slack, Teams, ChatGPT and Claude.
Use cases
Heads of BI
Give sales and support teams a chat interface to the warehouse
Outcome: Fewer ad hoc SQL requests for the data team
Operations teams
Ask revenue questions from Slack
Outcome: Answers with a table of changes by plan
Privacy-sensitive analysts
Run the desktop app in offline mode
Outcome: Query results stay on the local computer
Key features
- Automatically extracts your database structure and learns from feedback
- Desktop app for private database connections, with an offline mode that keeps results local
- Dashboards and AI-generated reporting emails
- Integrations with ChatGPT, Claude, Slack and Microsoft Teams on Team plans
- Team Advanced adds API and MCP access and white labeling
Pros
- Built for non-technical users as well as SQL users
- BlazeSQL says no models are trained on your data
- Team plan includes unlimited requests
Cons
- Pro starts at $150 a month, the highest entry price in this list
- Team costs $400 a month for 3 users plus $50 per extra user
- SSO and table and column access groups need Enterprise
Rank 9
Vanna
Open-source SQL agent framework with an optional cloud for access control, observability and agent memory.
vanna.ai7.9
out of 10
Best for: Developers building text-to-SQL into their own product or internal tools
Vanna is a toolkit rather than a finished app. Developers install the open-source framework with pip, pick an LLM (Anthropic, OpenAI, Gemini or Ollama) and a database (SQLite, PostgreSQL, MySQL, Snowflake, BigQuery and others), and build a SQL agent that their own users can chat with. The hosted side adds optional admin features: access control, observability with tracing, agent memory in a hosted vector database, file storage, audit logs and data retention. Explorer costs $50 a month for small teams of 2 to 3 people with 20 questions a day and API access, Team costs $500 a month for 300 questions a day, and Enterprise adds unlimited questions, on-prem deployment support and SAML SSO. Annual plans save 20%. The trade is effort: analysts without Python experience will be faster with a ready-made web tool, and the daily question caps on cloud plans are low.
Standout feature
Vanna is the best choice for builders because its open-source SQL agent framework works with Anthropic, OpenAI, Gemini or Ollama models.
Use cases
SaaS developers
Add a chat-with-your-data feature to a customer dashboard
Outcome: A SQL agent with access control over who sees what
Internal tools teams
Self-host Vanna with a local Ollama model
Outcome: Text-to-SQL without sending data to a third-party LLM
Data platform teams
Use hosted audit logs and observability
Outcome: Traceable answers for compliance reviews
Key features
- Open-source framework installed with pip install vanna
- Works with Anthropic, OpenAI, Gemini or Ollama models
- Connects SQLite, PostgreSQL, MySQL, Snowflake, BigQuery and other databases
- Hosted admin features: access control, observability, agent memory, audit logs
- Enterprise adds on-prem deployment support, SAML SSO and an admin API
Pros
- Self-hosting the open-source version costs nothing
- Same core framework from open source to enterprise, so no rewrite when upgrading
- Choice of LLM, including local models through Ollama
Cons
- Requires Python and setup work, unlike point-and-click tools
- Explorer allows 20 questions a day
- Team plan jumps to $500 a month for 300 questions a day
Rank 10
DataGrip AI Assistant
JetBrains AI Assistant plugin for DataGrip with coding agents, MCP tools and database help.
jetbrains.com7.8
out of 10
Best for: DataGrip users who want AI agents and SQL help inside their IDE
DataGrip already has strong SQL tooling, and the AI Assistant plugin brings JetBrains' AI agents into it. The DataGrip documentation says the plugin is not bundled or enabled by default, and it stays inactive until you install it, get a JetBrains AI Service license and accept the terms. Once on, you can delegate multi-step tasks to agents such as Junie, Claude Agent, Codex and GitHub Copilot, which plan the work, edit files, run commands and report progress while you keep or roll back changes. External agents connect through the Agent Client Protocol, and MCP lets agents reach other tools and data sources. You can use a JetBrains AI subscription, bring your own key or run local models, and the JetBrains AI page lists database help among its features. The catch is cost and setup: you need both a DataGrip license and a JetBrains AI license, and we could not confirm current USD prices from the store page.
Standout feature
DataGrip AI Assistant is the best choice for IDE users because it brings Junie, Claude Agent, Codex and GitHub Copilot into DataGrip.
Use cases
Database developers
Ask an agent to write and test a migration script in a DataGrip project
Outcome: Changes reviewed and kept or rolled back
Teams with strict data rules
Run AI Assistant against local models
Outcome: Prompts never leave company infrastructure
Platform engineers
Connect agents to internal tools over MCP
Outcome: SQL work that uses context from other systems
Key features
- Coding agents such as Junie, Claude Agent, Codex and GitHub Copilot
- Connect external agents through the Agent Client Protocol
- MCP tools, or expose the IDE as an MCP server
- Bring your own key, authorize a provider account or run local models
- Unlimited code completion via JetBrains AI
Pros
- Agents can plan, edit, run commands and let you roll back changes
- Works with local models for private setups
- JetBrains AI has SOC 2 Type 2 certification
Cons
- Plugin is not bundled or enabled in DataGrip by default
- Requires a JetBrains AI Service license and a DataGrip license
- Built for developers, not business users
Frequently asked questions
+What is the best AI SQL generator in 2026?
AI2SQL is our top pick. Its Pro plan costs $19 a month with unlimited SQL queries, connections to PostgreSQL, MySQL and SQL Server, and MCP access from Claude, ChatGPT and Cursor. SQLAI.ai and Hex follow in our ranking.
+Is there a free AI SQL generator?
Yes. AI2SQL has a free plan with 3 SQL queries a day on a demo database, Hex has a free Community plan with a Hex agent trial. Vanna, DBeaver Community and Chat2DB Community are open source, though you supply the AI model.
+What is the cheapest AI SQL generator?
SQLAI.ai is the cheapest paid plan in our list at $6 a month for 300 queries. AI2SQL Start costs $9 a month, or $7 billed yearly, and AI2SQL also sells a one-time $29 Lifetime plan with 500 AI queries a month.
+Can ChatGPT or Claude write SQL for my database?
Yes, if they can see your schema. AI2SQL connects Claude, ChatGPT, Cursor, VS Code and Gemini CLI to your database over MCP, and BlazeSQL Team integrates with ChatGPT and Claude so answers come from a governed connection.
+Is it safe to connect an AI SQL tool to a production database?
It can be, with read-only access and the right tool. AI2SQL runs queries read-only, SQLAI.ai keeps connection strings server-side away from the model, and the Text2SQL.ai and BlazeSQL desktop apps keep credentials or query results on your computer.
+Which AI SQL tool is best for non-technical users?
BlazeSQL is built for them. It learns your database automatically and answers questions in Slack, Microsoft Teams, ChatGPT and Claude, starting at $400 a month for 3 users on Blaze Team. Hex published apps are another option for sharing answers.
+Can I build text-to-SQL into my own app?
Yes, Vanna is designed for that. Its open-source framework installs with pip and works with Anthropic, OpenAI, Gemini or Ollama models, and paid cloud plans start at $50 a month for hosted access control and observability. AI2SQL Pro and SQLAI.ai also include APIs.
About this list
Updated November 12, 2026 by the Mojolin research desk. Mojolin is self-funded
Questions or corrections: editorial@mojolin.com
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