Amazon Redshift, joined, in and out.
DataGlue marries Amazon Redshift data with your other systems and sends outcomes back. Every number shows its formula and its records.
Amazon Redshift: AWS's cloud data warehouse.
- IN + OUT
- NO NATIVE CONNECTOR · YOUR WAREHOUSE OR DATABASE
Bring Amazon Redshift 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 Amazon Redshift and DataGlue. Warehouse tables come in. Outcomes can go out.
- IN + OUT
Your warehouse or database
Today our database connection speaks Postgres. Tables in Amazon Redshift 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 Amazon Redshift for the rest of your stack.
- IN + OUT
REST API
INAmazon Redshift 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 Amazon Redshift.
- IN + OUT
File export
INExport a CSV from Amazon Redshift 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 Amazon Redshift.
There is no native Amazon Redshift 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. Amazon Redshift 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 "Orders by first touch".
- 02
DataGlue works it out from the definitions of your data sources, Amazon Redshift 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
Orders by first touch
THE FORMULAOrder facts from Redshift, joined to the first visit of each buyer.
- EXAMPLE OUTCOME 02
Store and online in one model
THE FORMULAStore sales and web journeys for the same customers, side by side.
Want one of these from your Amazon Redshift data? We map the route and the first outcome on the call.
Book a CallBring Amazon Redshift 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.