Fine-grained control for your event-driven architecture

Supercharge Kafka with Kurrent

Kurrent + Kafka – a powerful way to manage event streams

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Pair Kurrent with Apache Kafka for new capabilities and lower costs

take-control-of-event-data

Take control of event data

Deploy a powerful, holistic system for event streaming, organization and retention

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Add new capabilities

Deliver curated streams to Consumers and maintain long-term access to events for fast replay and querying

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Expose hidden value of data

Future-proof event intelligence for new and emerging use cases like AI and predictive analytics

boost-capital-efficiency

Boost capital efficiency

Fund a joint solution through cost optimizations in Kafka

Kafka isn’t a database.
Now you don't need to use it like one.

Kafka’s power in handling real-time event streaming has transformed modern applications, but it wasn’t built for deep data management or flexible querying. Its strength lies in quick, transient delivery. Attempting to use Kafka as a database creates several challenges, from high storage costs to inefficient processing and querying.

Challenges using Kafka like a database

  • Coarse-grained buckets make it difficult to store and retrieve specific data streams for downstream use cases
  • Cross-topic queries – like those required for data analytics, AI and ML apps – are complex and hard to support
  • Business data is lost through transformation or expiration
  • System resources are wasted processing irrelevant events
  • Developer time is wasted managing event filters
  • New use cases don’t have access to historical events


Deploying Kurrent alongside Kafka solves these limitations, adding database functionality that Kafka alone can’t provide.

Kurrent adds high-performance database features to your Kafka event model

Bring a new level of structure, efficiency and accessibility to Kafka data streams with Kurrent’s powerful features.

Kurrent complements Kafka by adding powerful event storage and querying capabilities, bringing structure and organization to the Kafka data ecosystem. With a high-performance indexing engine, Kurrent can store billions of events, optimize your resource use and enable robust querying.

Now you can finally realize the full potential of your Kafka deployment without limitations.

How Kurrent enhances Kafka’s streaming capabilities

  • Fast, queryable, long-term access to events in their native format
  • Reduced load on consumers
  • Reduced load on Kafka
  • Ability to cost-optimize Kafka
  • Future-proof event intelligence for emerging use cases like AI
  • Fast query across n-dimensions with onboard index engine
  • Support for long-term retention of 1 billion+ streams

Get the most out of your Kafka deployment with Kurrent

Kurrent + Kafka Kafka
Event Structure

Fine-grained streams aligned to use cases

Noisy topics as event “catch-alls”
Event Ordering

Global ordering across all streams

Ordering only by partition
Event Retrieval

Indexed streams for fast replay and queries

Slow, resource-intensive full scans
Event Retention

Database built to store and stream events

Data transport system with storage workarounds
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Contextualizing the Kurrent State of Your Business

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REAL-WORLD USE CASE

Using Kurrent + Kafka to observe client journey interactions, granularly in real-time for higher client retention and lifetime value

A multinational financial services company implemented a new event-driven architecture built around microservices and distributed processing, with Kafka as the central event broker.


However, after breaking up their monolithic system, they lost visibility into their clients' complete journeys, which now span multiple systems and can unfold over days or even weeks.

 

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Integrating Kurrent with Kafka makes it possible to:

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Identify and store high-value client journey streams directly in Kurrent, capturing key patterns specified by the business

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Provide real-time alerts to wealth managers whenever clients experience delays or other suboptimal interactions

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Enable deep analytics and real-time interventions to enhance client experiences and increase lifetime value

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Challenges with a Kafka-only solution

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Lack of unified journey tracking across distributed, event-driven architecture

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Extremely noisy topics due to existing application design

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Inability to store events long-term due to IT-driven restrictions

Extend Kafka with Kurrent

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Load identified journeys from all channels into Kurrent high-performance streams, enabling cohesive analysis across a customer’s journey

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Optimize technical and business processes

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Access point-in-time and real-time analytics across customer base

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Improved customer experiences through streamlined processes and proactive engagement

Using Kurrent + Kafka to reliably, safely and quickly control remote IoT equipment

A leading oil and gas company faced challenges in monitoring and controlling remote equipment across multiple industrial sites.
With Kafka as the central event broker, their IoT infrastructure was set up to send real-time sensor data from remote devices, but they lacked the ability to track and respond to critical status changes across distributed systems.

By integrating Kurrent with Kafka, the company was able to:
  • Continuously monitor and capture high-value sensor data in Kurrent, allowing engineers to track equipment status and integrity in real time
  • Provide alerts to operational teams whenever sensors detect threshold conditions or equipment anomalies
  • Enable comprehensive analytics and configuration management, helping to streamline remote control, enhance safety and improve equipment uptime
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Challenges with a Kafka-only solution

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Lack of true streams and indexes makes it impractical to use for command and control use cases

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Limited support for maintaining equipment integrity over time

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Inability to reconcile configuration changes in real time

Extend Kafka with Kurrent

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Advanced filtering, integrity, validation and control of configuration lifecycle

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Comprehensive monitoring of real-time and historical data streams, enabling predictive maintenance and immediate intervention

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Coordination support for remote teams, allowing engineers to push configuration changes with assurance that the changes align with operational standards and safety protocols

Kurrent and Kafka: A Perfect Match

Kurrent is an event-native data platform that feeds real-time, business-critical data with historical context in fine-grained streams from origination to destination, enhancing a wide range of downstream use cases including data analytics, customer journey mapping, telemetry, IoT device management, AI model training — and much more.

While Kafka excels at real-time stream processing and distribution of events, Kurrent provides the perfect complementary system for durably storing and replaying those same events.


By storing every change (event) that led to a given state, Kurrent enables capabilities like complete audit trails and system rebuilding, letting you reconstruct the state at any point in time by replaying the events.

Maximize the value of your Kafka implementation with Kurrent

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