Tool · Data Infrastructure
JDBC integrations across CDPs
Directory data as of October 18, 2026
2 of the 44 customer data platforms in the CdpHub directory list an integration with JDBC, with 2 listings between them. Of those platforms, 1 sends data to JDBC and 1 reads from it. 1 of the 2 listings link to their platform's own documentation.
Which CDPs list JDBC
2 of 44Not listed by 42 CDPs: 6sense, Adobe Experience Platform, Amperity, Bloomreach, BlueConic, Blueshift, Braze, CaliberMind, Chord, CleverTap, DinMo, Fivetran Activations, Hightouch, Informatica, Insider One, Klaviyo, Leadspace, Lexer, Listrak, Lytics, Microsoft Dynamics 365 Customer Insights, mParticle, NICE, Odie, Ometria, Optimizely, Oracle, Redpoint Global, RudderStack, Salesforce Data 360, SAP CDP, SAP Engagement Cloud, SAS, Segment, Simon Data, Snowplow, Spotler ActivatePro, Teradata, Treasure AI, Upland BlueVenn, Zeotap and Zeta Global.
How each CDP connects to JDBC
2 CDPs · 2 listingsActionIQ (reads from JDBC)1 listing
JDBC
Tealium (sends data to JDBC)1 listing
Writes event, visitor or log data, or runs custom queries, on a JDBC-compatible database from AudienceStream or EventStream.
Other Data Infrastructure tools
All tools on two or more CDPs →About these numbers
CdpHub documents each integration from the platform's own catalog, so a listing records what the platform says it supports, not a test of the connector. Each one notes which way data flows and where the integration runs. A platform can list more than one connector for JDBC, so listings can outnumber platforms; a platform that both sends data to JDBC and reads from it is counted once, as doing both. The rank orders all 2,309 tools in the directory by how many platforms list them; tools listed on the same number of platforms share a rank. Counts are updated as catalogs change; this page reflects the directory as of October 18, 2026. CdpHub is independent and not affiliated with JDBC or any platform listed.
Connecting JDBC to a CDP?
Vendor-neutral help choosing the CDP that fits how you use JDBC, and getting the connection running in your stack.