surreal-syncv1.2.1

A financial services company migrating from PostgreSQL to SurrealDB to leverage graph capabilities for fraud detection. They use surreal-sync for full and incremental CDC sync to maintain real-time data consistency while transitioning systems.

An e-commerce platform streaming clickstream data from Kafka to SurrealDB for real-time analytics. Surreal-sync consumes Kafka topics with deduplication, enabling live dashboards and personalized recommendations.

A healthcare provider synchronizing patient data from MongoDB and MySQL into a unified SurrealDB instance. This supports full sync for historical records and CDC for ongoing updates, improving data accessibility for care teams.

A manufacturing firm batch-importing sensor data from JSONL files into SurrealDB using surreal-sync. This enables efficient storage and querying of time-series data for predictive maintenance and operational insights.

A social media startup migrating their graph database from Neo4j to SurrealDB for cost reduction and enhanced query performance. Surreal-sync handles timestamp-based incremental sync to preserve user relationships and activity logs.

Offer consulting and managed services to help enterprises migrate from legacy databases to SurrealDB using surreal-sync. Charge based on project scope, data volume, and ongoing sync maintenance.

Build a cloud platform that uses surreal-sync as a backend to provide no-code data synchronization tools. Monetize through subscription tiers based on sync frequency, data sources, and support levels.

Provide premium support, custom feature development, and training for surreal-sync under its MIT license. Target organizations needing tailored CDC setups or integration with proprietary systems.