Quickstart

From signup to your first query in under 30 minutes. Pick your cloud and follow the path.

The fastest path from zero to running your first query in e6data.

What you'll do

Step	Where
1. Sign up	e6data Console
2. Create a workspace	Control Plane
3. Grant storage access	Your cloud's portal
4. Connect a catalog	Compute Plane
5. Create a cluster	Compute Plane
6. Run a query	SQL Editor

For a guided choice between paths, see Choose setup path.

Step 1 - Sign up

Sign up and log in to an e6data account. You'll enter your email, get a magic link, and complete your profile.

Step 2 - Pick your cloud and choose a deployment type

In the Control Plane, click Workspaces → Create. Choose between:

• Serverless - fastest to start. e6data manages the compute environment.
• In Your VPC - compute runs inside your own Kubernetes cluster. Pick this if network isolation is a hard requirement.

Then follow your cloud's setup guide:

• AWS: Serverless | In Your VPC
• Azure: Serverless | In Your VPC

Step 3 - Grant e6data access to your storage

Each cloud has a different mechanism, but the principle is the same: create a cloud-native identity, grant it read access to the data you want to query, and federate it with e6data. No long-lived credentials are shared.

• AWS - IAM role with EKS Pod Identity (or IRSA).
• Azure - User-Assigned Managed Identity with federated credentials.

Step 4 - Connect a catalog

Once the workspace is provisioned, click Open to enter the Compute Plane. Then:

1. Go to Catalogs → Create.
2. Choose the metastore type (Hive Metastore, AWS Glue, Databricks Unity, Microsoft Fabric, Apache Polaris, Iceberg REST, or AWS S3 Tables).
3. Fill in the connection details.
4. Click Test Connection to verify, then Create Catalog.

See Register and manage catalogs for the full walkthrough.

Step 5 - Create a cluster

1. Go to Clusters → Create.
2. Name the cluster (for example, analytics-dev).
3. Choose a Cluster Runtime version and a Cluster Size.
4. Select one or more catalogs to connect.
5. (Optional) Enable Auto-Suspension and Auto-Resume so the cluster pauses when idle.
6. Click Create Cluster.

See Create and manage clusters for sizing guidance and all options.

Step 6 - Run a query

1. Open the SQL Editor in the Compute Plane.
2. Select your cluster and catalog.
3. Type a query:

   SHOW DATABASES;
   SELECT * FROM your_schema.your_table LIMIT 10;

4. Click Run.

What's next

• Connect a BI tool or driver: JDBC, Python, the REST API, or the PostgreSQL protocol.
• Invite teammates and grant roles: Identity and RBAC.
• Set up cost guardrails: Suspend and resume.
• Read the FAQs for your deployment path: AWS Serverless, AWS In-VPC / CloudPrem, or Azure Serverless.