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Dataherald

No phone app

4.9No. 21 of 21
in AI Database Assistants
  • Recognised40% of the score20
  • Phone app26% of the score0
  • Documented20% of the score19
  • Free plan14% of the score30
Free plan
No
Runs on
api, self-hosted, Web
Visit site Alternatives

Summary

Dataherald is ranked #21 of 21 in AI database assistants on Samsung Mobile US Press. It runs on API, Self-hosted, Web.

Compared on AI database assistants

Deployment
self_hostedgithub.com

Facts

Product
Dataherald is a natural language-to-SQL engine that exposes an API for asking questions about relational data in plain English.github.com · 4 Oct 2026
Use cases
The project describes use cases including helping business users query a data warehouse, embedding data Q&A in SaaS products, and creating a ChatGPT plug-in from proprietary data.github.com · 4 Oct 2026
Intended users
The official documentation is intended for developers who want to build natural language interfaces over structured data or contribute to the engine.dataherald.readthedocs.io · 4 Oct 2026
Database support
The quick start lists PostgreSQL, BigQuery, Databricks, and Snowflake as currently supported warehouse connections.dataherald.readthedocs.io · 4 Oct 2026
SQL generation
Included text-to-SQL implementations are LangChain SQL Agent, LangChain SQL Chain, LlamaIndex SQL Generator, and Dataherald SQL Agent.dataherald.readthedocs.io · 4 Oct 2026
Context
The context store can use business and database context, including validated question-and-SQL examples and table information, to help generate SQL.dataherald.readthedocs.io · 4 Oct 2026
Evaluation
The module overview says an evaluator assigns a confidence score to generated SQL.dataherald.readthedocs.io · 4 Oct 2026
Adaptability
The documentation describes a modular architecture whose implementations can be replaced through configuration in the .env file.dataherald.readthedocs.io · 4 Oct 2026
Security
The quick start says database connection data is encrypted before it is stored in Mongo, using the configured ENCRYPT_KEY.dataherald.readthedocs.io · 4 Oct 2026
Credentials
The quick start requires an OpenAI API key, an organization ID, and an encryption key before starting the engine.dataherald.readthedocs.io · 4 Oct 2026
Components
The repository describes an engine, an enterprise API layer with authentication and organizations, an admin console for configuration and observability, and a Slackbot.github.com · 4 Oct 2026
Support and licensing
The repository is public and identifies its license as Apache-2.0; the README invites contributions to the project.github.com · 4 Oct 2026

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Sources