A database for state transitions. Finally.

Build reliable data products from CDC events with dramatically simpler infrastructure. No stream processors, no state stores, no broker headaches.

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Kurrent powers the next evolution of CDC

What started as a backup mechanism has evolved into the backbone of modern data architectures. But as organizations push CDC to do more (creating sophisticated data products, powering real-time analytics, feeding AI systems), traditional architectures are hitting their limits. Kurrent represents CDC 3.0: not just capturing and distributing changes, but creating reliable data products that downstream systems can actually depend on.

THE PROBLEM

Creating data products from CDC is really hard

Traditional CDC captures changes, and that's it. "Row 47 was updated." Technical events stripped of business meaning. Your source database understands relationships (orders belong to customers, line items belong to orders). But the moment change events leave the source, that context disappears. What follows is an explosion of complexity as you try to reconstruct what you lost.

1-Dimensional Data

Raw database changes. A notification that something changed, what it was before, what it is now. Nothing about timing, relationships, or business meaning.

Lost Relationships

Foreign keys, primary keys, semantic connections—lost the moment CDC events land in Kafka topics. Each table becomes its own topic. The relational fabric? Gone.

No Business Meaning

"UPDATE customers SET status = 2" tells you nothing about what actually happened. Was the customer upgraded? Suspended? The raw event doesn't say.

Complex Reconstruction

Stream processing, state stores, repartitioning, temporal join handling—all this complexity just to reconstruct what you started with. And you still don't have the context you need.

THE SOLUTION

Kurrent makes data products easy

As a database purpose-built for state transitions, Kurrent captures what traditional CDC loses and provides powerful capabilities to organize that data in ways that make it easy to produce data products for downstream systems.

HOW IT WORKS

From raw changes to useful data products

Ingress

CDC events land in streams organized by primary key, not table.

Organize

Projections produce derived streams for business objects and processes

Query

Indexing enables query and filtering by any attribute you define

Consume

Downstream systems consume from any stream—raw, derived, or both

Dramatically simpler architecture

Traditional CDC

Kurrent CDC

Topic sprawl

Primitive

Fine-grained, indexed streams

Partition planning

Partitioning

No partitioning required

Client-side stream processing

Transformations

Server-side projections

State stores to manage

State

Database handles state

Temporal join complexity

Joins

Projections handle timing

Primitive

Topic sprawl

Fine-grained, indexed streams

Partitioning

Partition planning

No partitioning required

Transformations

Client-side stream processing

Server-side projections

State

State stores to manage

Database handles state

Joins

Temporal join complexity

Projections handle timing

Real Business Impact

Source of Truth

A complete and immutable change history—replay anything, recover anywhere, and prove everything.

Better Data Products

Additional context and powerful organization capabilities to create better data artifacts, more easily.

Build Faster

Stop wrestling with broker and stream processing complexity. Build CDC-driven features in less time.

Lower Costs

Reduce stream processing infrastructure and the broker footprint. Fewer moving parts to maintain.

Deploy Your Way

Choose the deployment model that fits your needs

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Kurrent Cloud

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Kurrent Enterprise

Run and manage KurrentDB yourself with full control and support.

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Kurrent Community

Develop locally with core functionality.

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