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English TO SQL Review

PrismSQL is a schema-bound natural language to SQL compiler that generates parameterized SQL queries against a user's database schema without exposing sensitive data.

shipped Aug 20, 2026freemium
English TO SQL — product screenshot

Why it matters

1Offers a freemium model with a free Sandbox tier including 5,000 compiles per month.
2Provides an API for integration, with documentation available at https://www.insightits.com/docs/prismsql-api.md.
3Supports multiple SQL dialects including PostgreSQL, MySQL, Snowflake, and Oracle Database across its paid tiers.
4Headquartered in Mission Viejo, California, developed by InsightITS.

About English TO SQL

Business Model
Usage-Based (Pay Per Use)
Usage Pricing
$0.008 per compile
Free Credits
5,000 compiles/month
Headquarters
Mission Viejo, California
Platforms
Web, API
Target Audience
Developers and B2B teams

Pricing Plans

Sandbox
Free
  • • 1 schema
  • • 5,000 compiles/month
  • • PostgreSQL only
Developer
$49/mo
  • • 1 schema
  • • 5,000 compiles/month
  • • PostgreSQL only
Pro / Team
$399/mo
  • • 3 schemas
  • • 50,000 compiles/month
  • • Overage $8 per 1,000 compiles
Enterprise
From $2,000/mo
  • • Unlimited schemas
  • • Invoice
  • • All ten dialects

Cost Examples

  • • 5,000 compiles: Free
  • • 50,000 compiles: $399
API DocsGitHubOpen Source

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is English TO SQL?

English TO SQL is a schema-bound Natural Language to SQL (NL-to-SQL) compiler developed by InsightITS that enables developers and B2B teams to generate parameterized SQL queries against their own database schema. It compiles SQL templates from an uploaded JSON schema contract, ensuring security and compliance rules are enforced without exposing live Data Source Names (DSNs) or directly connecting to user databases.

features

Key Features of English TO SQL

PrismSQL incorporates several technical features designed for secure and controlled SQL generation from natural language inputs, leveraging proprietary models and a schema-bound compilation approach.

  • Schema-bound NL-to-SQL compilation: Generates SQL queries strictly based on an uploaded JSON schema contract.
  • Parameterization for SQL queries: Compiles parameterized SQL templates, separating query logic from specific values.
  • Security through JWT isolation: Utilizes JSON Web Tokens for secure API interactions and data isolation.
  • No exposure of live DSN: Prevents vendors or AI models from directly accessing or storing user database credentials.
  • Support for multiple SQL dialects: Compatible with PostgreSQL, MySQL, MariaDB, SQLite, Snowflake, Amazon Redshift, Microsoft SQL Server, Oracle Database, Google BigQuery, and Databricks SQL.
  • API available: Offers a programmatic interface for integration into existing workflows.
  • InsightITS proprietary models: Employs custom-developed AI models for NL-to-SQL translation.
  • Text multimodality: Processes text-based natural language prompts for SQL generation.

use cases

Who Should Use English TO SQL?

English TO SQL is specifically engineered for environments requiring stringent data security and control over SQL generation, making it suitable for particular technical and business contexts.

  • Developers and B2B teams: For integrating AI agents that compile SQL against allowlisted customer schemas without direct database access.
  • Organizations requiring secure SQL generation: To enable agents to generate SQL against customer databases without exposing a live Data Source Name (DSN) to a third-party vendor.
  • Teams needing auditable SQL: For generating SQL statements that can be bound and executed in the user's environment, maintaining data ownership and control.
  • Environments where unconstrained SQL generation is prohibited: To prevent AI models from inventing SQL or executing arbitrary queries.

how to use

How to Use English TO SQL

To utilize PrismSQL, users typically upload their database schema as a JSON contract, which then serves as the basis for compiling parameterized SQL queries from natural language prompts.

  • 1Register for an InsightITS PrismSQL account, starting with the free Sandbox tier.
  • 2Upload your database schema as a JSON contract to define the permissible SQL generation scope.
  • 3Submit natural language prompts via the web interface or API.
  • 4Receive a parameterized SQL template and associated parameters from the compiler.
  • 5Execute the generated SQL template with its parameters within your own secure database environment.
  • 6Monitor usage and manage schema contracts through the PrismSQL dashboard.

pricing

English TO SQL Pricing & Plans

PrismSQL operates on a freemium and usage-based model, offering various tiers tailored to different organizational needs, with compiles counted per successful API interaction.

  • Sandbox: Free tier, includes 1 schema and 5,000 compiles per month, limited to PostgreSQL.
  • Developer: $49 per month, supports PostgreSQL, MySQL, MariaDB, SQLite, Snowflake, and Amazon Redshift.
  • Pro / Team: $399 per month, supports all Developer plan databases plus Microsoft SQL Server, Oracle Database, and Google BigQuery.
  • Enterprise: From $2,000 per month (invoiced), includes support for Databricks SQL in addition to all Pro plan databases. Usage pricing is $0.008 per compile beyond free tier limits.

Pros

  • +Enhanced security: Prevents exposure of live DSNs and sensitive data by compiling SQL against an uploaded schema contract.
  • +Auditable SQL: Generates parameterized SQL templates that users execute in their own environment, maintaining data ownership and control.
  • +Schema-bound compilation: Ensures the AI model adheres strictly to the defined database schema, preventing arbitrary SQL generation.
  • +Multi-dialect support: Compatible with a wide range of SQL databases, including PostgreSQL, MySQL, Snowflake, and Oracle Database.
  • +Freemium model: Offers a free Sandbox tier with 5,000 compiles per month for initial evaluation and small-scale use.
  • +API availability: Allows for seamless integration into existing developer workflows and applications.

Cons

  • −Requires schema upload: Users must provide their database schema as a JSON contract, which might be an initial setup overhead.
  • −No direct execution: The tool compiles SQL but does not execute it or connect to the user's database, requiring users to run the generated queries themselves.
  • −Limited free tier: The Sandbox tier is restricted to PostgreSQL and 5,000 compiles per month, which may not suffice for larger projects.
  • −Proprietary models: Relies on InsightITS proprietary models, limiting transparency or customization options available with open-source alternatives.
  • −No function calling: Lacks advanced function calling capabilities, which might limit complex interaction patterns.

Similar Tools

English TO SQL vs Competitors

PrismSQL distinguishes itself in the NL-to-SQL market through its schema-bound compilation approach, prioritizing security and control over direct SQL generation or execution.

1
EverSQL Text to SQL↗

A free, user-friendly, web-based tool that converts natural language into SQL queries and supports multiple databases.

Similar to Aiven, EverSQL's tool focuses purely on the conversion aspect without the explicit schema binding features or advanced security/compliance emphasis found in PrismSQL.

2
Vanna AI↗

An open-source Python RAG framework that allows users to train a model on their specific database schema and sample queries for highly customized SQL generation.

Vanna AI is a library/framework requiring more technical setup and coding to integrate into a workflow, whereas PrismSQL is a ready-to-use compiler with a user interface. The trade-off is greater control and customization with Vanna AI versus the out-of-the-box convenience of PrismSQL.

3
SQLAI.ai↗

Offers a comprehensive suite of AI SQL tools including text-to-SQL, optimizer, validator, explainer, and formatter, supporting both SQL and NoSQL databases.

SQLAI.ai provides a broader set of SQL-related AI tools beyond just natural language to SQL, which might be more than what a user solely focused on compilation needs. While it has a free tier, its schema awareness and direct database integration might not be as deeply integrated or emphasized as PrismSQL's dedicated schema-bound compiler.

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GitHubgithub.com/insightitsGit/PrismSchema