Databricks, joined, in and out.
DataGlue marries Databricks data with your other systems and sends outcomes back. Every number shows its formula and its records.
Databricks: A lakehouse platform for data engineering, analytics and machine learning.
- IN + OUT
- NO NATIVE CONNECTOR · YOUR WAREHOUSE OR DATABASE
Bring Databricks and one decision to the call. Tool names are enough; no access needed.
Trusted by
- Your warehouse or databaseIN + OUT
- REST APIIN + OUT
- File exportIN + OUT
What moves between Databricks and DataGlue. Lakehouse tables come in. Outcomes and evidence streams can go out for models and reports.
- IN + OUT
Your warehouse or database
Today our database connection speaks Postgres. Tables in Databricks reach DataGlue through a sync you run into Postgres, or through our REST API, with the route mapped in the build. Outcomes and evidence streams land in Postgres first, and the same sync copies them into Databricks for the rest of your stack.
- IN + OUT
REST API
INDatabricks records are sent to our REST API with a scoped key, as events and linked ids on the same person. The calls are set up in the build.
OUTPeople, sessions, events and conversions are read from our REST API with a scoped key and written into Databricks.
- IN + OUT
File export
INExport a CSV from Databricks and import it. Each row keeps its own id, so a re-upload updates the same people and adds no duplicates. Recurring drops are agreed in the build.
OUTSessions, events, identity links and outcome tables export as files on request, ready to load into Databricks.
There is no native Databricks connector today; the routes above are how it joins. Connections are agreed in the build. We check the source data, consent and identifiers before promising a linked journey. Databricks is a trademark of its owner; this page implies no partnership or endorsement.
Describe the outcome. DataGlue works it out and shows you the formula.
- 01
Describe the outcome you want in plain words, such as "Features for your models".
- 02
DataGlue works it out from the definitions of your data sources, Databricks included, and shows the formula in concise English.
- 03
Send it on: to reports, BI tools, any destination, or the AI tools your team already uses.
- EXAMPLE OUTCOME 01
Features for your models
THE FORMULAJourney features per person, such as visits, forms and first touch, as a table your models can read.
- EXAMPLE OUTCOME 02
Model scores on the journey
THE FORMULAScores your team computes, joined back to each person's timeline.
Want one of these from your Databricks data? We map the route and the first outcome on the call.
Book a CallBring Databricks and one decision. We'll map the route and the first outcome on the call.
The call scopes fit. The build is a separate engagement, priced before work begins.