Your data, from source to AI chat, in one platform

Connect your sources, keep an open and governed lakehouse, and answer questions with SQL, dashboards and AI chat.

Dataspheres catalog showing the columns of the smoke table

Certified by global technology leaders

  • Microsoft
  • Confluent

What the platform does

Every part of the data path comes integrated, with no separate tools to assemble and maintain.

  • Managed ingestion

    Fivetran connectors bring databases, files and applications into the lakehouse and keep them in sync.

  • Distributed SQL

    Write SQL in the editor and run it across the whole lakehouse with Spark and Kyuubi.

  • Catalog and governance

    Unity Catalog organizes tables and permissions, and each profile sees only what it may see.

  • Lineage

    See where each table came from and what depends on it, with OpenLineage and Marquez.

  • Pipelines

    Orchestrate transformations with Dagster: scheduling, dependencies and run history.

  • Dashboards

    Build dashboards from your queries and share them with the team.

  • AI chat

    Ask in plain language. The assistant queries the catalog and answers with your data.

How it works

From the source system to the dashboard and the chat, your data goes through seven steps inside one platform.

  1. Connect your sources

    Databases, files and business applications come in as sources.

    Databases, files and apps

  2. No-code ingestion

    Managed connectors copy the data and keep it in sync.

    Fivetran

  3. Open lakehouse

    Data lands as open-format tables in your own storage.

    Delta Lake on ADLS Gen2

  4. Catalog and governance

    Each person sees only what their profile allows, with single sign-on.

    Unity Catalog and Keycloak SSO

  5. SQL at scale

    Distributed queries across the whole lakehouse, in standard SQL.

    Spark with Kyuubi

  6. Orchestrated pipelines

    Scheduled transformations, with dependencies and reruns.

    Dagster

  7. Dashboards and AI chat

    Dashboards for the team and plain-language questions about the data.

    Dashboards and AI Chat

End-to-end lineage

Every step records where the data came from and where it went, with OpenLineage and Marquez.

Use cases

See how Dataspheres covers each step of working with data.

See Dataspheres with your own data

Book a demo and we will walk you through the whole path, from source to chat.

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