Discover the power of a multi-model database
Unify data transformation, machine learning, and hyper-personalisation in one platform - no more delayed batch jobs or fragmented pipelines.
Unify data transformation, machine learning, and hyper-personalisation in one platform - no more delayed batch jobs or fragmented pipelines.
Analytics and recommendations can’t wait. Legacy systems treat data like an archaeological dig site—dusting off old records for outdated insights.
Slow insights from past user behavior.
Dependent on external platforms.
Based on outdated user data.
SurrealDB’s real-time engine for analytics and ML. Merge streaming data, embedded ML, and vector search into a single platform. Generate insights and deliver personalised experiences in milliseconds.
Process data instantly with event-driven features. Use live queries to push updates in real time.
Deploy ONNX models inside SurrealDB for real-time recommendations. Example: Predict 'next best offer' before a user exits.
Find similar content, products, or users. Use graphs to enrich recommendations with deeper context.
Push personalised notifications or offers based on live user actions. Automate model retraining as data updates.
Analyse, predict, and act instantly - no ETL delays or API roundtrips.
Cut support fees, infrastructure costs, and development overhead.
Adapt to new use cases without adding more systems.
