Predictive ML
Real-time Serving
Low-latency, high throughput feature serving with uncompromising reliability
Serve 100,000 QPS at single-digit millisecond latency
Meet the demands of high-traffic applications with Tecton’s high-throughput feature serving. Proven at scale, Tecton powers trillions of predictions for major companies like Block and Atlassian, delivering consistent performance under load.
Achieve optimal performance with intelligent scaling and caching
Tecton’s real-time infrastructure is designed to meet the demands of the most extensive applications. Seamless horizontal autoscaling maintains responsiveness under varying loads, from routine traffic to unexpected spikes. Tecton Serving Cache significantly reduces infrastructure costs. As a fully managed solution, Tecton automates infrastructure provisioning and scaling, eliminating operational overhead for your team.
Compute features on-demand with real-time feature views
Respond to changing data instantly with real-time feature views. Compute features in real time, ensuring models always have access to data available only at inference time, such as query or transaction information. This capability enables dynamic decision-making for time-sensitive applications.
Deploy multi-team serving safely with server isolation
Tecton empowers organizations to scale real-time serving across multiple independent teams. With Tecton’s Server Isolation, top enterprises prevent cross-team disruption. By separating different workloads, spikes in certain areas don’t impact the performance of others.
Rely on enterprise-grade reliability
Tecton’s robust infrastructure and commitment to reliability ensures your feature serving remains available and responsive, providing the stability necessary for mission-critical ML applications. Deploy with confidence, knowing your features will be there when you need them, supported by:
- Multi-Availability Zone architecture
- Data replication for redundancy
- Continuous monitoring and alerting
Predictive ML
