The platform, end to end

From raw source
to cited answer.

No five-tool stack, no copies between systems. One platform moves your data through five stages — and every stage is open, governed, and yours.

01
Ingest · data pipelines

75+ connectors land your data — raw, on a schedule.

Click a source. Databasin creates the pipeline, maps the schema, sets the schedule, and handles retries and change-data-capture. For the 30 native sources, the routes are certified and the gold views are built for you. The rest connect over Generic API (REST/SOAP) or JDBC.

Automated ELT Schema mapping Incremental / CDC Watermarks Browse all →
02
Automate · the automations engine

Pipelines bring data in.
Automations put it to work.

Ingestion (step 01) just copies your source data. Automations are a separate engine for everything that happens after — transforming data, building models, running code, and driving other systems. Five task types, chained into stages, on a schedule or a trigger.

Data models
Build & refresh semantic models — described in plain English (NLP).
Notebooks
Run PySpark, Python, or Scala directly against your lake.
SQL tasks
Scheduled transforms and business logic in plain SQL.
Reverse-ETL
Push curated results back out to the tools that need them.
Orchestration
Chain stages and trigger external systems — Databricks, APIs, webhooks.

Every stage runs on a schedule or a trigger, with retries and full run history.

03
Model · open Apache Iceberg

The result: governed data, in three open tiers.

It all lands in one Apache Iceberg lake you own — open tables, zero proprietary lock-in. Pipelines and automations move your data through the medallion tiers, and your gold layer is built from the questions you actually ask.

Bronze
Raw, as-ingested. Full history, nothing dropped.
Silver
Cleaned, typed, deduped, conformed.
Gold
Curated business views — joins, keys, definitions. What you query and what the AI answers from.
04
Query · four engines, one lake

Pick the right engine. Never copy the data.

Four open engines point at the same Iceberg tables — one catalog, zero copies. Use the right tool per workload; pay per minute only while a cluster runs, or flat-rate unlimited in your own tenant.

EngineBest forProfile
TrinoFederated SQL across sourcesInteractive
Apache DorisReal-time dashboards & servingSub-second OLAP
Apache SparkML, heavy pipelines, notebooksDistributed batch
DuckDBEmbedded, single-node analyticsIn-process

All four read and write the same open Iceberg tables. Add your own Databricks or Snowflake as a fifth engine — no rip-out.

05
Ask · Databasin One

Talk to your data — with receipts.

Databasin One answers from your governed gold layer in plain English: real charts, interactive dashboards, executive PDFs, and shared workspaces. Every claim ships with the SQL it ran and the tables it touched.

Chat over docs + lake On-demand dashboards Executive PDFs Shared workspaces Cited to source
Secure either way

HIPAA-ready by default.
Your security posture, your call.

Every deployment is encrypted, audited, and access-controlled. The hosted cloud is fully HIPAA-ready — most teams start there in five minutes. For the strictest PHI and data-residency needs, run the identical platform inside your own Azure tenant.

The fast path.

Fully managed and HIPAA-ready from day one. Sign up, click a connector, and you're querying in minutes — $50 in credit, no card.

Start Free — $50 Credit

Strictest posture.

Install from the Azure Marketplace — the whole platform inside your walls. Your storage, your keys, your network, no data egress.

Talk to us about self-install
HIPAA-ready
Encrypted in transit & at rest
Audit · row-level security
SSO · RBAC

Co-created at Washington University School of Medicine — built where the data was real, and regulated.

Five minutes, $50 in credit

See the whole path
on your own data.