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Redpanda Connect Breaks Down Data Silos with Salesforce Connectors, Streaming CDC for Oracle and DynamoDB

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New enterprise connectors eliminate middleware sprawl and integration friction, powering AI pipelines and event-driven apps with a single stateless binary

Redpanda, creators of the Redpanda Agentic Data Plane (ADP) for enterprise AI, announced the general availability of four new components in Redpanda Connect: an Amazon DynamoDB change data capture (CDC) input, an Oracle CDC input, and both a processor and an output for Salesforce. Designed to run efficiently in any Kubernetes environment, these connectors enable enterprises to bypass the fragile middleware and heavy infrastructure traditionally required to stream changes from their most critical systems into the Redpanda platform.

Organizations today rely on Oracle for core transactional workloads, DynamoDB for high-scale web and mobile applications, and Salesforce as a system of record for customer relationships. However, getting real-time data out of these systems and into streaming pipelines has historically required stitching together multiple middleware layers, dedicated connector infrastructure, and specialized operational expertise, slowing teams down and delaying time to insight.

“Data is the lifeblood of modern AI, but most of it is currently locked behind a labyrinth of fragile glue-code and specialized expertise,” said Prakhar Garg, Senior Product Manager at Redpanda. “We’re stripping away that integration toil. By making CDC as simple as a declarative YAML file, we are enabling engineering teams to turn static systems of record into live event sources for agentic applications — without the perpetual maintenance loop that usually kills project velocity.”

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Redpanda Connect is Redpanda’s integration layer for building streaming data pipelines without the operational burden of traditional middleware. The platform is fast and flexible, enabling teams to move from zero to production-grade streaming in minutes, not weeks. Over the past year, Redpanda has significantly expanded this ecosystem, adding more than 40 connectors to help enterprises integrate with the systems they rely on most. This velocity helps remove integration friction and makes fresh data accessible across the business, powering everything from event-driven applications to AI and agentic workflows.

Each new connector addresses specific operational pain points that have historically slowed down insights:

  • DynamoDB CDC: Automatically handles the complexity of shard management and resharding. E-commerce and gaming platforms can now stream application-layer events into search and AI systems without writing custom integration code or managing intermediary Kinesis streams.
  • Oracle CDC: Modernize legacy infrastructure without rearchitecting existing databases. Redpanda Connect removes the need for dedicated Kafka Connect clusters and Debezium deployments, making real-time data — like fraud detection or inventory updates — accessible to teams that previously lacked the resources to manage complex CDC pipelines.
  • Salesforce: Enables bidirectional data flow between the CRM and the broader data ecosystem. The processor component turns CRM events into live signals via Salesforce’s Pub/Sub API, while the output component enriches CRM records with fresh data from upstream systems — closing the visibility gap between the field and leadership without the lag of batch processing.

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Simpler Pipelines, Faster Time to Value

By inheriting the core advantages of the Redpanda Connect platform, these connectors allow teams to build and test pipelines in minutes using declarative YAML and built-in transformations via Bloblang. This simplicity and reliability drastically reduces the hardware footprint and the manual “babysitting” associated with traditional streaming integration.

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