Kurrent is an event-native data platform that captures and streams data as immutable events, enabling real-time analytics and AI applications with complete historical context. By providing a permanent log of data changes, Kurrent ensures businesses can make informed decisions based on high-fidelity information without the risk of data loss or overwriting.
Funding
$12M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional databases often overwrite data, leading to a loss of historical context and hindering accurate real-time analytics and AI applications. Businesses struggle to make informed decisions due to incomplete or mutable data, increasing the risk of flawed insights and delayed responses to critical events.
Solution
Kurrent is an event-native data platform designed to capture and stream data as immutable events, providing a complete historical record for real-time analytics and AI. Unlike traditional databases, Kurrent stores every data change, preserving the context of what changed, why it changed, and the order in which changes occurred. This approach enables businesses to make decisions based on high-fidelity information without the risk of data loss or overwriting. By creating a permanent, unchangeable log of data events, Kurrent facilitates root cause analysis, time-travel queries, and the development of event-driven architectures.
Target Audience
Kurrent targets businesses that require real-time analytics, event-driven architectures, and AI/ML initiatives, particularly those in industries dealing with high volumes of rapidly changing data.
Features
- Immutable data store ensuring a permanent record of all data changes.
- Real-time streaming of events through subscriptions for immediate access to data updates.
- Time-travel capabilities allowing users to move through the event stream for analysis and forecasting.
- Multiple client interfaces for flexible integration with various applications and systems.
- High availability and guaranteed writes to ensure data reliability and consistency.
- Projections for creating derived data streams and custom views of event data.
- Support for competing consumers, enabling scalable and parallel processing of event streams.