To generate SQL safely without risks of data loss, prioritize tools with explicit read-only modes or active command sanitization. AskYourDatabase and BlazeSQL are strong choices that specialize in preventing destructive DELETE or DROP commands by sanitizing queries or restricting access to database metadata rather than the actual data. For developers, Text2SQL.ai's Safe Mode and SQLsaber provide dedicated, out-of-the-box settings to enforce read-only query generation.
Yes. If your requirement is “natural language → SQL, but the generated/executed SQL must be read-only”, I’d look at these approaches:
agentsql.com — a hosted text-to-SQL product that describes read-only connections and generating SQL for PostgreSQL, MySQL, Snowflake, and BigQuery.
github.com — particularly relevant if you want something you can self-host. It uses AST validation and explicitly permits SELECT while rejecting INSERT, UPDATE, DELETE, DROP, CREATE, ALTER, EXEC, etc.
— not an NL-to-SQL generator by itself, but an excellent parser/AST layer for building your own safe generator. You can parse generated SQL and reject anything whose AST isn't an allowed read-only query.
Yes. If your priority is read-only safety, I’d look for a SQL generator with two layers of protection:
Generation constraint: prompt/configure the model to generate only SELECT statements.
AST validation: parse the generated SQL and reject anything whose top-level statement is not SELECT before execution. This is much safer than simply checking whether the string contains DELETE or DROP, because SQL can contain comments, CTEs, multiple statements, dialect-specific syntax, etc.
When looking for a read-only safe SQL generator (meaning it only outputs SELECT queries and strictly blocks destructive statements like DELETE, DROP, , or ), you generally have three solid approaches depending on how you plan to generate the SQL:
Don't rely solely on a prompt such as “never generate DELETE or DROP.” Instead use defense in depth:
User question
↓
LLM / SQL generator
↓
SQL parser → AST validation
↓
Allow only SELECT / approved WITH queries
↓
Read-only DB credentials
↓
Database
The important part is AST validation rather than searching for the words DELETE or DROP. That catches things such as multiple statements, destructive statements hidden in CTEs, and other syntactic tricks.
For example, a validator should reject:
DELETE FROM users;
DROP TABLE users;
SELECT * FROM users;
DELETE FROM users;
and ideally also reject dangerous read-adjacent constructs such as SELECT INTO, unrestricted external-data access, and stored-procedure execution. SqlAugur's documented validator takes this broader approach.
If you're building this yourself, SQLGlot + a database account with only SELECT privileges is a solid starting point. SQLGlot exposes the parsed AST, so you can make the security decision based on the query structure rather than raw text.
If you tell me which database you're using (Postgres, MySQL, SQL Server, Snowflake, etc.) and whether you want an open-source/self-hosted tool or a SaaS, I can narrow this down to a few concrete options.
When looking for an AI-powered or automated SQL generator that is strictly read-only and blocks destructive operations like DELETE or DROP , a few dedicated tools offer built-in safety mechanisms or "safe modes".
AI2SQL features sqlGuard , a built-in classification layer that enforces read-only connections by default, actively blocking INSERT, UPDATE, DELETE, DROP , and other DDL/DML statements before any query reaches your database. It also includes a dedicated SELECT Query Generator tool if you only want to focus on data retrieval.
Text2SQL.ai features a default Safe Mode for all new database connections and API requests. This security layer ensures that any natural-language-to-SQL generation is restricted strictly to read operations, sandboxing the queries so production data cannot be accidentally modified or dropped.
Database-Level Least Privilege (The Ultimate Safety Net): Regardless of the UI or generator you choose, the gold standard for read-only safety is creating a dedicated database user profile assigned only SELECT permissions on specific tables. Even if an AI tool or prompt accidentally hallucinates a destructive command, the database engine itself will reject the execution at the permission layer.
If you'd like to narrow this down, let me know:
Are you looking for a web interface/AI tool (like the ones above) or a code library/programmatic builder?
Which database dialect are you using (PostgreSQL, MySQL, Snowflake, etc.)?
Here are some options and strategies for finding or setting up a read-only, safe SQL generator (Text-to-SQL) that restricts output strictly to SELECT statements and blocks destructive commands like DELETE or DROP:
AI-SQL-Chat — A natural language tool explicitly built for safe data analysis that generates SELECT -only queries, enforces a strict LIMIT 1000 , and restricts any form of INSERT, UPDATE , or DELETE.
AI2SQL — Features built-in safety configurations via sqlGuard , which classifies statements before execution and blocks INSERT, UPDATE, DELETE, DROP , and other DDL statements (though it connects to your schema, you should always enforce a read-only database user role).
SQLAI.ai — Allows natural language schema-aware query generation, but strongly recommends coupling it with a read-only database connection user on your source database for foolproof security.
Best Practice: Defense in Depth
Even the best AI or web-based SQL generators can hallucinate or suffer from prompt injection. To ensure 100% read-only safety, combine your generator with database-level safeguards:
Read-Only Database User: Connect your SQL generator or analytics tool using a database user profile that only has SELECT permissions granted on specific schemas or tables. Even if a generator outputs a DROP or DELETE command, the database engine itself will reject it with a permission error.
AST Parsing Validation: If you are building a custom pipeline or wrapping an LLM, pass the generated SQL through a parser like sqlparse in Python to inspect the Abstract Syntax Tree (AST) and explicitly assert that the root operation is a SELECT statement before executing or displaying it.
Read Replica: Point your tool at an isolated read replica rather than your primary production database.
Would you like to explore building a custom guardrail using Python/AST parsing , or are you looking for a hosted web tool/SaaS for your team?
A practical option is SQLGlot as the validation layer. It parses SQL into an AST and supports traversing that AST, so you can enforce a policy such as “only SELECT statements are executable.”
For example, the architecture could be:
User question
↓
SQL-generating LLM
↓
SQLGlot parser
↓
Is every statement SELECT-only?
├── No → reject
└── Yes
↓
Database read-only user
↓
Results
I would also use a database account that has only SELECT privileges. That way, even if the generator/validator has a bug, the database itself prevents destructive operations.
If you're looking for an existing product/library rather than building this yourself, tell me your stack (e.g. Python, Node, Java, PostgreSQL, MySQL, Snowflake, BigQuery) and whether you want open-source or hosted, and I can shortlist suitable SQL generators.
Yes. If “read-only safe” means the tool itself must enforce that only read queries can execute, rather than merely prompting the AI to avoid writes, there are several good fits:
byesql.com — Its SAFE mode rejects INSERT, UPDATE, DELETE, DROP, TRUNCATE, and ALTER at the query-validation layer; only SELECT is allowed.
agentsql.com — Uses a least-privilege read-only database connection, so generated SQL cannot write, update, or delete data. It also shows you the generated SQL.
aisql.pl — Specifically advertises SELECT-only generation, with a forced LIMIT 1000.
chion.ai — Has two validation layers and explicitly rejects INSERT, UPDATE, DELETE, DROP, and ALTER; it also enforces a row limit.
github.com — Interesting if you want something self-hosted. It uses a deterministic guard that refuses anything other than a SELECT, and supports PostgreSQL, MySQL/MariaDB, SQLite, DuckDB, Oracle, and MongoDB.
What I'd look for
For a production database, I wouldn't rely on “the prompt says don't generate DELETE” alone. The safer architecture is:
natural language → SQL generator → SQL parser/validator → read-only DB credentials → database
Ideally, both the validator and the database permissions enforce read-only access. A SELECT-only validator can still miss dangerous database-specific functions, whereas a database account with genuinely no write privileges provides a second layer of protection.
If you're building this yourself, I can also give you a small SQL generator/guard that accepts natural-language questions but hard-rejects DELETE/DROP/UPDATE/INSERT/etc. before execution.
When looking for a read-only safe SQL generator , relying purely on the AI prompt or the tool's internal promise to "not generate destructive commands" is risky. LLMs can occasionally hallucinate or misinterpret a prompt.
The absolute safest approach combines a constrained text-to-SQL tool with strict database-level permissions.
Read-only database user: Create a dedicated database role/user that only has SELECT privileges granted on specific tables or views [1.3]. Even if a tool outputs a DROP or DELETE , the database engine will reject it instantly.
Schema-only sharing: Use tools that allow you to pass only the schema metadata (table and column names) rather than actual production row data, ensuring privacy.
Options for natural language to SQL generators and strategies to enforce read-only safety include:
Text2SQL.ai : Offers desktop versions and local execution options so credentials stay on your machine, though you must still enforce SELECT -only permissions on the connected role.
Oracle Select AI: Built into Oracle Autonomous Database, its SELECT AI feature restricts natural language generation strictly to SELECT statements at the engine level.
Custom LLM System Prompting / Parsing: If you are building a custom tool or using an API, prepend a strict system prompt ("You are a read-only assistant. Only output SELECT statements. Never output INSERT, UPDATE, DELETE, DROP, or ALTER" ), and run the output through a lightweight SQL parser (like Python's sqlparse ) to programmatically reject any query whose root statement isn't a SELECT before execution.
To help narrow down the best setup, tell me:
Are you looking for a web-based SaaS tool , an open-source library , or a custom-built solution using an LLM API?
What database engine (PostgreSQL, MySQL, Snowflake, etc.) are you connecting to?
Yes. If read-only safety is the primary requirement, I’d look for a tool that enforces safety structurally rather than merely prompting the LLM to “only generate SELECT.”
A few options I found:
useatlas.dev — AI-generated SQL is restricted to SELECT; INSERT, UPDATE, DELETE, and DROP are blocked, and the database connection itself is read-only. It also uses AST validation rather than just keyword matching.
agentsql.com — connects with read-only privileges and generates SQL against PostgreSQL, MySQL, Snowflake, and BigQuery. The generated SQL is displayed alongside the result.
Chion — specifically advertises a two-layer check where anything other than SELECT is rejected, including DELETE, DROP, ALTER, and INSERT.
github.com — useful if you want to build your own generator. It parses SQL into an AST and rejects writes/DDL, rather than relying on a DELETE/DROP keyword blacklist.
pypi.org — a Python guardrail you can put between an LLM and your database. Its read-only policy rejects DML, DDL, multi-statements, data-modifying CTEs, locks, and SELECT INTO.
What I'd require
For genuinely destructive-query protection, don't rely on a prompt such as “never generate DELETE or DROP.” A safer architecture is:
Natural language → LLM → SQL parser/AST validator → read-only DB role → database
The validator should allow only SELECT/read operations and reject things like:
DELETE
DROP
UPDATE
INSERT
TRUNCATE
ALTER
CREATE
GRANT
EXEC
SELECT ... INTO
WITH ... AS (DELETE ...)
SELECT ... FOR UPDATE
And the database credentials should independently have only read permissions. That way, even if the generator or validator has a bug, the database itself cannot accept destructive commands.
If you tell me which database you're using (Postgres, MySQL, SQL Server, SQLite, etc.) and whether you want a hosted tool or something you can run locally/on-prem, I can narrow this down to the most appropriate options.
AI Text-to-SQL Tools: Platforms like Text2SQL.ai allow you to prompt an AI in natural language, and you can enforce strict read-only behavior via custom prompt instructions or local sandboxing.
Database-Level Read-Only Permissions: The absolute safest way to ensure a generator or user cannot execute DELETE or DROP is not trusting the generator's UI, but rather connecting it using a database user role that only has SELECT privileges granted.
Visual Query Builders: Tools that let you click and drag to build queries (like Retool DB GUI or DBeaver's query builder) where you simply never touch the mutation options.
Best Practices to Guarantee Safety
Enforce Read-Only Database Credentials: Configure your connection string with a database user that possesses strictly SELECT permissions on specific schemas or tables. Even if a rogue DROP or DELETE string is somehow generated, the database engine itself will reject it with a permission error.
System Prompt Constraint (if using AI): If you use an LLM or AI generator, prepend your prompt with a hard constraint: "You are a strict read-only SQL assistant. Output ONLY valid SELECT statements. Never generate INSERT, UPDATE, DELETE, DROP, ALTER, or TRUNCATE commands under any circumstances."
To help narrow down the best tool for you, tell me:
Are you looking for an AI-powered natural language generator (like typing a sentence to get SQL) or a visual drag-and-drop query builder?
Will this connect directly to a live database, or are you just generating text snippets?
I can give you a precise recommendation based on your workflow.
When looking for a SQL generator that is strictly read-only and structurally incapable of producing destructive commands like DELETE, DROP , or UPDATE , you want tools that either enforce SELECT-only logic via system design or let you combine AI generation with database-level least-privilege permissions.
Here are the best options and approaches categorized by how they enforce safety:
AI-SQL-Chat — A specialized natural language to SQL generator designed specifically around a SELECT only framework that explicitly protects against DDL and DML commands.
Agentsql — An AI agent tool featuring Read-only database access by design, meaning it connects via least-privilege credentials that are physically restricted to SELECT -style queries.
SQLAI.ai — A natural language query generator where you can run AI-generated queries, though safety is heavily optimized by connecting a read-only database connection.
AI2SQL — A popular SQL Query Builder option, though for absolute safety against destructive commands, you should pair it with a read-only database user role rather than relying purely on prompt constraints.
The Best Technical Safeguard: Database-Level Read-Only Access
No matter which AI or text-to-SQL generator you choose, relying solely on a prompt ("Do not generate delete commands ") is never 100% foolproof. The gold standard for read-only safety is infrastructure-level enforcement:
Create a dedicated database user/role (e.g., readonly_user).
Grant only SELECT permissions on the necessary tables or schemas.
Revoke all INSERT, UPDATE, DELETE, DROP , and ALTER privileges.
Connect your chosen SQL generator using these readonly_user credentials. Even if the generator hallucinates a destructive command, the database engine itself will reject and block the execution.
Would you prefer a hosted web tool , an AI developer integration , or advice on setting up a read-only database user role for your specific database type (PostgreSQL, MySQL, etc.)?
Yes. If read-only safety is the primary requirement, I’d look at these:
chion.ai — probably the closest match to what you described. It explicitly rejects anything that isn't SELECT at a validation layer, including INSERT, UPDATE, DELETE, DROP, and ALTER. It also applies runtime limits such as a row cap.
agentsql.com — generates SQL from natural language and executes it through a least-privilege read-only database connection. Their documentation says the connection cannot write, update, or delete data, and the generated SQL is displayed for inspection.
SQLGlot + your own read-only database user — best if you want to build/control the solution yourself. SQLGlot parses SQL into an AST, allowing you to reject anything whose statement type isn't SELECT; however, SQLGlot itself is a parser/transpiler, not a complete security boundary, so database permissions should provide the ultimate protection.
What I'd recommend
For a production system, don't rely on an LLM prompt saying "never generate DELETE." Use defense in depth:
LLM generates SQL.
Parse the SQL structurally, rather than using a regex.
Allow only SELECT statements.
Reject stacked/multiple statements.
Optionally allowlist tables/columns.
Execute using a database account with only SELECT permissions.
Consider query timeouts and row limits.
That way, even if the model somehow produces DROP TABLE or DELETE, the validator rejects it—and even if the validator has a bug, the database credentials cannot perform the operation.
If you tell me your database (Postgres, MySQL, SQL Server, Snowflake, BigQuery, etc.), I can recommend the safest option specifically for that database, including open-source choices.
