Dataherald vs SQLAI.ai
Dataherald
github.com
SQLAI.ai
sqlai.aiSide by side
| Figure | Dataherald | SQLAI.ai |
|---|---|---|
| Price from | — | $4/mo |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 0 | 8 |
| Spec score · AI SQL Generators | 7.7 (#10) | 7.7 (#11) |
| API | The engine exposes endpoints for database connections and natural-language questions, and the quick start points to a Swagger UI at /docs. | SQLAI.ai offers a public API, and its pricing FAQ says API requests cost 3 credits per query or 5 credits for very large schemas. |
| Database support | The quick start lists PostgreSQL, BigQuery, Databricks, and Snowflake as currently supported warehouse connections. | The database directory lists 28 engines, with some supporting live connections and others schema-only workflows. |
| Product | Dataherald is a natural language-to-SQL engine that exposes an API for asking questions about relational data in plain English. | SQLAI.ai is an AI-powered SQL and NoSQL toolbox for generating, optimizing, validating, formatting, explaining, and converting queries. |
Plans
SQLAI.ai
- Hobby$4 a month
- Starter$6 a month
- Explorer$10 a month
- Pro$20 a month
- Hobby$50 a year
- Starter$80 a year
- Explorer$120 a year
- Pro$240 a year
In their own words
Dataherald
Dataherald is an open-source natural language-to-SQL engine that exposes an API for asking questions about relational data in plain English. Its stated uses include helping business users query warehouses, embedding data Q&A in SaaS products, and creating ChatGPT plug-ins for proprietary data. The project targets developers building natural-language interfaces or contributing to the engine. Self-hosting uses Docker, with MongoDB in a separate container for application data. Listed warehouse connections are PostgreSQL, BigQuery, Databricks, and Snowflake. Included SQL-generation approaches are LangChain SQL Agent, LangChain SQL Chain, LlamaIndex SQL Generator, and Dataherald SQL Agent. A context store can include business and database details, validated question-and-SQL examples, and table information; active learning from usage is also described. An evaluator assigns confidence scores to generated SQL. The modular architecture allows implementations to be changed through .env configuration. Startup requires an OpenAI API key, organization ID, and encryption key. Connection data is encrypted before Mongo storage. The repository uses Apache-2.0 licensing.
SQLAI.ai
SQLAI.ai is a web and API toolbox for generating and working with SQL and NoSQL queries. Its text-to-SQL generator turns plain-language requests in many languages into queries; other tools optimize, validate, format, explain, and convert them. The SQL optimizer offers index-aware rewrites and explains performance changes. Database rules, schema autosuggest, a VS Code-style editor, side-by-side diff view, and large-schema support provide additional query tools. Its directory lists 28 database engines, including MySQL, PostgreSQL, SQL Server, Oracle PL/SQL, and MongoDB; some support live connections and others schema-only workflows. Users can run natural-language queries against connected databases, and the site recommends read-only connections for improved security. The company says it stores schemas rather than actual database data and encrypts credentials routed through a proxy. The public API uses an access token in a request header; API requests cost 3 credits per query or 5 for very large schemas. Hobby costs $4 a month and includes 50 queries per month; a 7-day trial is listed, but no free plan.