Utilize a flexible Feature Store for real-time streaming data processing and modeling
Power predictive models with real-time data
We streamline the work of Data Science and Machine Learning teams
Event Engine (Feature Store) processes events, builds user profiles, and generates predictions based on them
Event Engine enables real-time and offline streaming data processing
Online processing
- Values of all aggregates used by active and deployed models are updated with each incoming event
- Then, the updated aggregates with predefined parameters are used to update the profile and trigger online scoring for models that meet specific conditions.
- For each incoming event, a response (JSON) is returned containing the scoring result for each model that meets the conditions
- Based on the returned results, the application takes the appropriate action
- The application provides an endpoint for retrieving the current (real-time) customer profile
Offline processing
- Each event is stored in the event repository
- Based on stored events, aggregates are calculated offline and then used to build predictive models
- Models are automatically deployed and can be used for online scoring
- Offline processing can be scheduled for a specific time
Do you want to explore all the features of Event Engine?
Event Engine ensures performance, scalability, and support for Machine Learning models
Real-time
Real-time data processing with scoring calculations in less than 5 ms
Built-in aggregation
Predefined aggregation functions with an easy way to modify aggregation methods
Integration with ML environments
Quick and simple creation of predictive models based on Event Engine data
State checkpointing
Moving inactive data to storage and dynamically restoring it when needed
Flexible scaling
Ability to dynamically adjust resources to current needs and system load
High performance
Scoring throughput of up to 20,000 events per second
Start processing streaming data with Event Engine
Trusted by 50+ major financial institutions, telecommunications, e-commerce and logistics companies
Collaboration with Algolytics has allowed us to focus on what is crucial for us – developing our financial products. Algolytics technology has provided us with tools for quick and accurate risk assessment of our clients, enabling us to significantly increase our operational efficiency and deliver value to our clients faster.
SERGII DEMCHUK
CEO, Novalend
Test Event Engine and discover how flexibly and efficiently you can process streaming data
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