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System of Record · Engineering

OwnData

Federate. Govern. Stream. Serve.

One control plane for the team that owns the warehouse — federate every product, govern every byte, and serve SQL, natural language, REST, and AI agents from the same model. No-copy federation across Postgres, Snowflake, Salesforce, S3, and internal APIs.

ReplacesDatabricksdbt + FivetranLooker semantic layer

In week one. Not year one.

01

Analysts query every source in place from one SQL console — no ETL ticket, no copied data.

02

Column-level lineage answers 'what breaks if I change this' before the change ships.

03

A metric defined once in the semantic model matches everywhere it appears, from BI to agents.

And the Databricks renewal stops being a line item — the replacement is an asset you own. Run your numbers →

16+Federated sources connected
Zero-copyQuery in place, no ETL
ColumnLevel lineage and impact analysis
NLQNatural language to governed SQL
OwnData — actual product interface

What sets it apart

01

No-copy federation: query every source in place without moving a row

02

One semantic layer consumed by SQL, NLQ, REST, GraphQL, Kafka, MCP, and agents

03

Column-level lineage with OpenLineage export and impact analysis

04

Kafka-native streaming backbone with CDC, schema contracts, and DLQ visibility

Key Capabilities

01

Federated Sources

No-copy federation across Postgres, Snowflake, Salesforce, S3, and internal APIs. Push-down query execution where the source supports it.

02

SQL Console

Federated SQL editor with run history, result preview, and one-click promotion to governed virtual views.

03

Semantic Model

Entities, dimensions, and metrics defined once — consumed identically across SQL, NLQ, agents, and the REST surface.

04

Data Catalog

AI-enriched discovery with sensitivity classification, quality tiers, tag-based facets, and usage-based ranking.

05

Streaming Backbone

Kafka-native CDC with schema contracts, consumer-group lag monitoring, dead-letter queues, and tiered storage.

06

Column Lineage

End-to-end lineage from source to dashboard with OpenLineage export, impact analysis, and change blast-radius.

Who it’s for

Data Engineer

Federated SQL across every source, visual pipeline builder, and column-level lineage — replace six vendor consoles with one.

Analytics Lead

One semantic model consumed by BI, agents, and dashboards. Define a metric once, trust it everywhere.

Platform Architect

Kafka-native streaming backbone with CDC topics, schema contracts, and consumer-group lag — observability for the data plane.

Perpetual Licence

OwnData is available as a perpetual licence. You own the software forever. Deploy on your infrastructure. No annual renewals, no per-seat pricing, no vendor lock-in. Prefer OpEx? A managed subscription is available too — switch between the two anytime, nothing to re-buy.

Every screen here also works without the screen.

OwnData implements the Own360 headless spec: a standard /api/v1 surface with OpenAPI, cursor pagination, idempotent writes, and entity.changed events — drivable from its own CLI, any HTTP client, MCP tools generated straight from its OpenAPI, and the OwnAgents runtime.

$ owndata entities            # 6 entities
$ owndata dataset list --limit 20
$ owndata dataset create --data '{…}'
$ owndata domain run_query

The generated OwnData CLI — every entity and domain op, OwnAuth-authenticated, idempotent by default.

Entities

datasetschemafieldconnectionsyncmapping

Domain ops

run_querystart_sync

6 verified agent tasks · 3 cross-app workflows

  • OwnScrape → OwnDataOwnScrape job created → OwnData dataset created tagged to the job id
  • OwnData → OwnBIOwnData dataset → OwnBI dashboard linking to it
  • OwnData → OwnComplyOwnData dataset registered → OwnComply retention policy drafted naming the dataset

See the full task catalog in the agent runtime →

Inside OwnData

The full story — why it exists, what it replaces, every capability in detail, and real product screens.

Read the deep dive →