Industry: AI Content Copilot
Development efficiency: 40% faster development cycles
SiteForge, an emerging AI Content Copilot, successfully reduced its development cycle by 40%, queries by 20%, and scaled back the number of backend APIs by 75% by migrating to SurrealDB's unified database platform.
Previous database solution had incomplete JSONB querying and support, requiring multiple queries for simple operations.
Rapidly evolving product requirements hindered innovation and slowed development cycles while increasing maintenance costs.
Needed to iterate quickly and update schemas without worrying about complex migration processes.
Required building numerous backend APIs to handle feature functionality, increasing complexity and maintenance burden.
Leveraged SurrealDB's ability to store JSON, retrieve nested objects, handle graph relations, and manage vector embeddings.
Combined client-side database querying with authorization to eliminate the need for multiple backend APIs.
Used Record IDs, Record Relations, Nested Objects & Arrays, and Nested Queries to turn complex information into clear insights.
Successfully migrated all customer data from Supabase to SurrealDB in less than 24 hours with zero downtime.
Development cycle for database-related features reduced by at least 40% with flexible schema and intuitive query language.
Database-as-a-backend paradigm reduced backend APIs by 75%, improving productivity and iteration speed.
Expressiveness of SurrealQL and subqueries allowed merging operations, reducing total queries by 20%.
Set up for vector features, AI recommendation systems, and real-time analytics with time series capabilities.
With SurrealDB's unified platform, SiteForge transformed their database management, accelerated development, and positioned themselves for future AI-driven innovations including intelligent recommendations and real-time analytics.
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