Introduction

D23 is a managed analytics platform (Insights-as-a-Service). Instead of standing up and maintaining Apache Superset yourself, you connect your databases, and D23 runs the platform — upgrades, backups, SSO, row-level security, and AI text-to-SQL included.

What D23 does

• Managed Apache Superset. Production-grade BI fully managed by D23. No infra, no upgrades, no ops.
• AI text-to-SQL. Ask questions in plain English; D23 writes and runs the SQL against your data warehouse.
• Embedded analytics. Embed Superset charts and dashboards into your product with a single script tag and your own branding.
• 50+ database connectors. Snowflake, BigQuery, Redshift, Postgres, ClickHouse, Databricks, MySQL, Trino, and more.
• Your cloud or ours. Run fully managed on D23 infrastructure, or deploy into your own AWS, GCP, or Azure VPC.

Core concepts

• Workspace, your isolated Superset environment: dashboards, datasets, users, and connections.
• Dataset, a table, view, or SQL query you expose to Superset for charting.
• Chart, a visualization built on a dataset — bar, line, pie, table, map, and more.
• Dashboard, a collection of charts arranged on a canvas, shareable via link or embed.
• Semantic layer, metric definitions (via dbt or virtual datasets) that keep numbers consistent across every chart.
• Row-level security (RLS), filters applied automatically per user or role so people only see their data.

Where to go next

• Quickstart — connect a database and build your first dashboard.
• Concepts — datasets, charts, dashboards, and the semantic layer.
• Integrations — connect databases and data warehouses.
• AI & text-to-SQL — how AI query generation works.
• Governance — SSO, RLS, audit, and SOC 2.
• Deployment — managed vs. your own cloud.