The only database purpose-built for event sourcing.

Stop building an event store from scratch. Start with one that's already complete.

Free Trial

Stop fighting

Immutability, ordering, streaming, and projections are native capabilities—not bolted on like with CRUD databases.

Ship faster

No designing schemas, building subscriptions, or debugging concurrency. Start with a working event store on day one.

Simplify your stack

One purpose-built platform instead of five. Fewer moving parts, fewer failure modes.

50M+

DOWNLOADS

F500

DEPLOYMENTS

μs

LATENCY

99.9%

UPTIME

SOC 2

CERTIFIED

The Problem

"I feel like I'm battling my database"

When organizations implement event sourcing with general-purpose databases like PostgreSQL, MongoDB, or Cassandra, they quickly discover these databases weren't designed for event-driven patterns. What starts as "we'll just store events in a table" becomes months of custom development across six critical areas.

Schema & Data Model Design

General-purpose databases have no native concept of event streams. Teams design custom schemas from scratch—event tables with aggregate IDs, sequence numbers, and payload columns.

Third-Party Libraries or Custom Code

Without native support, teams adopt third-party libraries or build custom implementations. Either path means your event store is only as reliable as non-core code.

Ordering & Consistency Guarantees

Event sourcing depends on strict ordering—within streams and globally. General-purpose databases don't provide this automatically. Teams must implement sequence generation and handle failures.

Concurrency Control

When multiple processes append events simultaneously, you need optimistic concurrency control. General-purpose databases require custom implementation—error-prone code with silent data corruption as the consequence.

Real-Time Streaming Infrastructure

General-purpose databases offer limited or no native streaming. Teams bolt on external message brokers—doubling operational complexity and creating synchronization challenges.

Projection & Read Model Management

Events need transformation into read models. General-purpose databases require external frameworks, custom microservices, or batch jobs—plus checkpoint management and synchronization logic.

Building an Event Store is a Burden

Specialized Knowledge

Development Time

Ongoing Maintenance

Infrastructure Focus

System Fragility

Tech Debt

The Solution

A database that's designed to store events

KurrentDB is the database that speaks event sourcing natively. With 12+ years of continuous development and hundreds of production deployments, it delivers native capabilities that eliminate the complexity, performance compromises, and operational overhead of retrofitting traditional databases.

Native Immutable Event Streams

Every event is immutable and stored in append-only streams that preserve complete history. This isn't a feature bolted on—it's the fundamental architecture.

Impact

Zero data loss. Reconstruct any past state, audit every change, replay any outcome.

Built-In Global Event Ordering

Strict ordering within streams and global consistency across the entire event store. Every event receives a unique, monotonically increasing position.

Impact

Eliminates complex application-level sequencing. Event order is guaranteed, not hoped for.

Multi-Stream Atomic Appends

Append events to multiple streams atomically in a single transaction, eliminating saga patterns and complex coordination logic.

Impact

Run and manage KurrentDB yourself with full control and support.

Native Real-Time Subscriptions

Built-in pub/sub powers real-time event flows with catch-up subscriptions (replay from any point) and persistent subscriptions (competing consumers)—no external brokers required.

Impact

Reactive architectures without adding message brokers or messaging infrastructure to your stack.

Advanced Projections Engine

Process, transform, and link events in real-time directly within the database. Like stored procedures for event streams—triggered by new data, executed in-database.

Impact

Eliminates external stream processing frameworks. Event transformations run where the events live.

Optimistic Concurrency Built-In

Native concurrency control prevents lost updates without pessimistic locking. Specify expected versions; the database rejects mismatched writes automatically.

Impact

No events silently lost to concurrent modifications. High-throughput writes without locking overhead.

Sophisticated Event Indexing

Multi-tier indexing with dedicated entries per stream enables direct lookups. Custom indexes create virtual views by any event property without duplicating data.

Impact

Sub-millisecond retrieval regardless of database size. New query patterns through configuration, not code.

Unlimited Event Retention

Events stored indefinitely by default—never automatically deleted. Tiered archiving moves older events to cloud storage while maintaining transparent read-through access.

Impact

Complete audit trail without retention limits. Balance storage costs without sacrificing historical accessibility.

Enterprise-Ready & Production-Proven

Encryption at rest, RBAC, ISO 27001 and SOC2 Type II compliance. Official client libraries for .NET, Node.js, Python, Java, Go, and Rust.

Impact

12+ years of battle-tested stability across hundreds of production deployments. Mission-critical ready.

Deploy Your Way

Choose the deployment model that fits your needs

Recommended
AWSGoogle CloudA

Kurrent Cloud

Focus on your application while we manage the infrastructure.

Sign Up (No credit card required)

Kurrent Enterprise

Run and manage KurrentDB yourself with full control and support.

Free Trial

Kurrent Community

Develop locally with core functionality.

Download now

Tired of DIY event sourcing?

Talk to an Expert