Skip to content
datarelix.ai docs

Datarelix Quick Start

Sign in, connect a database, let discovery run, and ask your first question.

Before you start

You’ll need:

  • A Datarelix account — create one at app.datarelix.ai with your email address and a password (at least 8 characters). No credit card.
  • A database Datarelix can reach, in one of the supported engines: Postgres, MySQL, Azure SQL, Databricks, Kusto, BigQuery, Athena, Elasticsearch, or Snowflake — or data files in S3/Azure/GCS via the Files & Object Storage (DuckDB) connection.

Datarelix runs the execution layer, the per-engine query services, and the Python sandbox for you — there’s nothing to install or operate.

Your first query

  1. Create your account

    Open app.datarelix.ai. The sign-in page opens on Create your account: enter your name, email, and a password of at least 8 characters, then confirm it. You’re signed in as soon as the account is created — a confirmation email follows, and you don’t have to wait for it to start querying.

    Already have an account? Switch to Sign in, or use Forgot password? to get a reset link.

  2. Add a connection

    Click Add connection and pick your database engine. Each engine has its own fields and auth modes — the Connections guides walk through every one, including how to create a read-only role and where to find each credential. Datarelix only ever reads inside the allowed scope you set (schema / database / dataset / index pattern).

  3. Let discovery run

    After you connect, Datarelix introspects the schema and optionally enriches each table with a short description. Better descriptions mean sharper answers — see Writing queries. How many tables one analysis covers depends on your plan; see Billing & plans.

  4. Ask a question

    Pick the connection and ask in plain language:

    ask
    What tables are in this database?
    Show me the top 5 customers by lifetime value
    What was the total revenue per month?

Every answer comes back artifact-first: a table or chart, the exact SQL/KQL that ran, the tables used, and the runtime — all one click away.

Using the API

Every UI action is also a REST endpoint. Programmatic access uses an API key, which is issued on request rather than self-serve — there is no key-generation screen in the app yet. Contact us if you want one for your account. With a key, a run looks like this:

Terminal window
curl -N -X POST https://app.datarelix.ai/api/v1/run/stream \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $DATARELIX_API_KEY" \
  -d '{ "connection_id": "your-connection-id", "question": "What are the top 10 customers?" }'

See the REST API reference for the full endpoint list and Authentication for how sign-in and API keys work.

Next steps

Connections Connect any supported engine.
Writing queries Get sharper answers with table mentions and limits.
Python analysis Charts and stats in the sandboxed runtime.
Dashboards Pin results and build updatable dashboards.
Security What the model sees, what it can run, and how your data is isolated.
Billing & plans Free-plan limits, monthly counters, and upgrades.
Privacy