Leave Snowflake or Databricks. Keep the data, lose the bill.
A serverless warehouse comes with every workspace, alongside pipelines, metrics and apps. Our engineers migrate your models and history from Snowflake, Databricks or BigQuery and prove parity before you switch.
You're paying enterprise prices for a data platform you barely use.
Snowflake and Databricks are built for large data teams. Mid-size companies end up paying for credits, clusters and the engineers needed to run them before a single report ships.
Replaces Snowflake, Databricks and Redshift.
- A serverless warehouse per workspace, with nothing to size or suspend
- Pipelines, metrics and apps on the same platform as the data
- Parity proven table by table before you switch
- Usage-based pricing instead of credits and commitments
How it works
- 01
Map what you run
Inventory tables, jobs and the reports that depend on them.
- 02
Port models and history
Models move into the workspace repo; history is copied across.
- 03
Prove parity
Old and new run side by side; every table is compared until it matches.
- 04
Cut over
Switch reports and agents over, then turn the old warehouse off.
Enterprise, with our engineers
Our engineers migrate your models, jobs and history from Snowflake, Databricks or BigQuery, run old and new side by side, and switch over only when every table matches.
Self-serve, after launch
Create a workspace, load your data with the BigQuery connector or an ingestion asset, and move models over one by one.
Install from the marketplace
Everything below installs into your workspace as code. Use it as it is, or change anything.
Snowflake
Your existing Snowflake databases and schemas.
Connector · Connect or replace
Databricks
Your existing Databricks catalogs and tables.
Connector · Connect or replace
Amazon Redshift
Your existing Redshift clusters and schemas.
Connector · Connect or replace
BigQuery
Your existing BigQuery project and datasets.
Connector · Connect or replace
dbt
Your existing dbt project, models and tests.
Connector · Connect or replace
Looker
LookML models and dashboards.
Connector · Connect or replace
Tableau
Workbooks and data sources.
Connector · Connect or replace
Power BI
Reports and semantic models.
Connector · Connect or replace
Questions
What does the warehouse run on?
A warehouse is created with every workspace, isolated per workspace, in the region you choose. There are no clusters or virtual warehouses to size.
Can we bring our existing models?
Yes. Bring your SQL and dbt-style models; our engineers port them and prove parity table by table.
How is it priced?
Storage and the data your queries process, plus pipeline compute. No seats, no idle clusters, no minimum commitment for self-serve.
Rather have it built for you? Start a pilot.
Our engineers migrate your models, jobs and history from Snowflake, Databricks or BigQuery, run old and new side by side, and switch over only when every table matches.
- One solution, on your data, in your own workspace
- First version live in two weeks
- Parity proven before anything is switched off
- Fixed scope and price, credited to your contract if you continue
Not ready for a pilot? Send the form anyway with your question. An engineer will reply, not a sales rep.
How the pilot worksYour company’s context, ready for every agent.
$ segmentstream workspace create acme --region eu
▸ workspace ready · data, objects, metrics and access rules in one place
▸ connect Claude, ChatGPT or Cursor with one connector
▸ tell your agent: “add our billing API as a source”
Our engineers build the first version on your data in two weeks, at a fixed price.
Or join the waitlist for self-serve:
Pilots are open now. Self-serve opens to the waitlist this fall.