SurrealDB Feasibility PoC - Quick Evaluation

Overview

Conduct a focused 2-week feasibility study of SurrealDB as a potential Turso replacement, following lessons learned from Epic #451 (LanceDB evaluation). This PoC tests ONLY desktop embedding to validate critical requirements before committing to full migration evaluation.

Context from Previous Evaluation

Epic #451 (LanceDB) Results:

• 4 phases, 5 approaches tested, all failed
• Key lesson: Test critical requirements FIRST (dynamic schema, embedding, mobile)
• Recommendation: Stay with Turso
• Decision: Validated that exhaustive evaluation prevents costly mistakes

Senior Architect Review (SurrealDB):

• ✅ Dynamic schema works (SCHEMALESS validated)
• ❌ Mobile NOT production-ready (SurrealKV explicit warning)
• ❌ API instability (v2.0 breaking changes)
• ⚠️ Performance concerns (pagination, complex queries documented)
• ⚠️ Binary size: 16.1MB vs Turso's 1.9MB (8.5x larger)
• Recommendation: Stay with Turso (90% confidence)
• Alternative: Quick feasibility PoC if user insists

Scope: Desktop-Only Feasibility

What We're Testing:

• ✅ Desktop embedding in Tauri (binary size, startup time)
• ✅ SCHEMALESS dynamic schema validation
• ✅ Query performance at scale (100K nodes)
• ✅ Pagination performance (documented concern)
• ✅ Complex query performance (filters, nested properties)

What We're NOT Testing:

• ❌ Mobile embedding (SurrealKV not production-ready - known blocker)
• ❌ Real-time sync (custom implementation required - deferred)
• ❌ Multi-node deployment (not relevant for desktop-first)
• ❌ RBAC (Tier 3 feature, not immediate priority)

Go/No-Go Criteria (STRICT)

Phase 1: Desktop Embedding (1 week)

GO Criteria:

• ✅ Binary size <20MB (vs Turso's 1.9MB)
• ✅ Startup time <500ms
• ✅ SCHEMALESS queries work for arbitrary properties
• ✅ Basic CRUD operations match Turso performance (within 2x)

NO-GO Triggers:

• ❌ Binary size >20MB → STOP, recommend Turso
• ❌ Startup time >1 second → STOP, recommend Turso
• ❌ SCHEMALESS limitations discovered → STOP, recommend Turso

Phase 2: Dynamic Schema Stress Test (1 week)

GO Criteria:

• ✅ Query 100K nodes with 1000+ unique properties efficiently
• ✅ Pagination performance ≥50% of Turso baseline
• ✅ Complex filters (multi-property, nested paths) ≤2x Turso latency
• ✅ Index effectiveness on dynamic properties validated

NO-GO Triggers:

• ❌ Pagination performance <50% of Turso → STOP, recommend Turso
• ❌ Query degradation >2x on complex filters → STOP, recommend Turso
• ❌ Memory usage >2x Turso for same dataset → STOP, recommend Turso

Implementation Approach

Phase 1: Desktop Embedding (Week 1)

Day 1-2: Integration

• Add surrealdb crate to Cargo.toml
• Create minimal embedded SurrealDB connection
• Measure binary size impact (before/after)
• Measure startup time (cold start, warm start)

Day 3-4: SCHEMALESS Validation

• Create test table with SCHEMALESS mode
• Insert 1000 nodes with arbitrary properties
• Query using dot notation: properties.custom_field_123 = 'value'
• Validate sparse field handling (nodes missing properties)

Day 5: Performance Baseline

• Benchmark basic CRUD operations
• Compare to Turso baseline (from Epic LanceDB Parallel Implementation for Database Evaluation #451 data)
• Document performance characteristics

Deliverable: Phase 1 report with GO/NO-GO recommendation

Phase 2: Dynamic Schema Stress Test (Week 2)

Day 1-2: Scale Testing

• Insert 100K nodes with dynamic properties
• Create 1000+ unique property names across nodes
• Measure query performance across property combinations

Day 3-4: Pagination & Complex Queries

• Test deep pagination (OFFSET 10000, LIMIT 100)
• Test multi-property filters: status = 'done' AND priority > 3
• Test nested property queries: customer.address.zip = '00042'
• Measure query latency vs Turso baseline

Day 5: Analysis & Recommendation

• Compile performance data
• Document all GO/NO-GO criteria results
• Final recommendation: Proceed to full evaluation OR Stay with Turso

Deliverable: Phase 2 report with final recommendation

Risk Mitigation

Lessons from Epic #451 Applied:

1. ✅ Test critical requirements FIRST (dynamic schema, embedding)
2. ✅ Strict GO/NO-GO criteria at each phase
3. ✅ Desktop-only scope (mobile is known blocker)
4. ✅ Performance benchmarks vs Turso baseline
5. ✅ Time-boxed (2 weeks max, not 5-7 months)

Known Risks Accepted:

• Mobile not tested (SurrealKV not ready - documented blocker)
• Sync not tested (custom implementation required - deferred)
• Production stability not tested (v2.0 breaking changes - deferred)

Risk Score: 60/100 (Medium-High)

• Probability of hitting NO-GO: 60% (pagination, binary size, performance)
• Cost if failed: 2 weeks (vs 5-7 months full migration)

Acceptance Criteria

Phase 1 Complete:

• SurrealDB embedded in Tauri desktop app
• Binary size measured and documented
• Startup time benchmarked
• SCHEMALESS queries validated with arbitrary properties
• Basic CRUD performance vs Turso baseline documented
• GO/NO-GO decision made

Phase 2 Complete (If Phase 1 = GO):

• 100K nodes with 1000+ properties ingested
• Pagination performance at scale benchmarked
• Complex query performance documented
• Memory usage profiled
• All GO/NO-GO criteria evaluated
• Final recommendation delivered

PoC Complete:

• Feasibility report with data-driven recommendation
• If GO: Plan for full evaluation (Epic scope)
• If NO-GO: Close evaluation, return to Turso
• Zero disruption to production Turso implementation

Success Metrics

Definition of Success:

• All GO criteria met in both phases
• Performance within 2x of Turso on critical operations
• Clear path to mobile support identified (even if not tested)
• Confidence level ≥80% for proceeding to full evaluation

Definition of Failure:

• Any NO-GO trigger hit in Phase 1 or 2
• Performance degradation >2x Turso on critical paths
• Undocumented limitations discovered
• Mobile path remains unclear/blocked

Resources & References

Architecture Documents:

• docs/architecture/data/lancedb-evaluation-report.md - Lessons learned from Epic LanceDB Parallel Implementation for Database Evaluation #451
• User's SurrealDB proposal (Table IS Type architecture)
• Senior Architect's SurrealDB review (comprehensive analysis)

SurrealDB Documentation:

• https://surrealdb.com/docs - Official docs
• https://surrealdb.com/docs/embedding - Embedding guide
• https://surrealdb.com/docs/surrealql/statements/define/table - SCHEMALESS mode

Comparison Baselines:

• Epic LanceDB Parallel Implementation for Database Evaluation #451 performance data (Turso benchmarks)
• Binary size: Turso 1.9MB (from research)
• Query latency: From existing integration tests

Timeline

Week 1: Phase 1 (Desktop Embedding)

• Days 1-2: Integration & binary size measurement
• Days 3-4: SCHEMALESS validation
• Day 5: Performance baseline & GO/NO-GO decision

Week 2: Phase 2 (Dynamic Schema Stress Test) - IF Phase 1 = GO

• Days 1-2: Scale testing (100K nodes)
• Days 3-4: Pagination & complex queries
• Day 5: Analysis & final recommendation

Total Duration: 2 weeks (10 working days)

Definition of Done

• Both phases completed with documented results
• All GO/NO-GO criteria evaluated
• Performance comparison data collected
• Final recommendation delivered with confidence level
• If GO: Epic created for full evaluation
• If NO-GO: Evaluation closed, return to feature development
• Zero impact on production Turso implementation

🤖 Generated with Claude Code

Co-Authored-By: Claude noreply@anthropic.com