Accelerating innovation and reducing costs with SurrealDB

SiteForge migrated to SurrealDB to reduce development cycles and simplify backend architecture. The team delivered faster iteration, fewer APIs, and improved query efficiency on a unified data platform.

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Outcome40% faster development cycles

01 |KEY CHALLENGES

What they needed to solve

The technical and operational hurdles the team faced before adopting SurrealDB.

Limited SDK capabilities

Incomplete JSONB querying required multiple queries for simple operations.

Operational overload

Rapidly evolving requirements slowed development while increasing maintenance.

Schema migration complexity

Schema updates were costly and hindered iteration.

Backend API proliferation

Feature work required numerous backend APIs, adding complexity.

02 |SOLUTIONS

How SurrealDB helped

The architecture decisions and SurrealDB capabilities that addressed each challenge.

Multi-model database capabilities

Unified JSON, graph relations, and vector embeddings in one system.

Client-side database querying

Combined database querying with authorisation to remove extra APIs.

Flexible schema and nested queries

Used record IDs and nested queries to simplify complex data access.

Rapid migration process

Migrated all customer data from Supabase in under 24 hours with zero downtime.

03 |RESULTS

The impact

Measurable outcomes delivered after moving to SurrealDB.

40%

FASTER

Development efficiency

Database-related feature work completed much faster.

75%

FEWER APIs

Backend simplification

Database-as-a-backend reduced backend API sprawl.

20%

FEWER QUERIES

Query optimisation

SurrealQL expressiveness allowed query consolidation.

1B+

VECTORS

Future-ready architecture

Prepared for vector features and real-time analytics.

MORE CASE STUDIES

Saks Fifth Avenue uses SurrealDB's vector search and graph capabilities to deliver real-time, AI-powered personalisation across 5 million luxury customers and 45 million monthly product-recommendation queries.

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