Supabase vs PocketBase: 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (98.9 vs 98.7): Supabase wins for enterprise relational schemas, pgvector AI embeddings, and multi-tenant Row Level Security across 112.4k+ GitHub stars (98.9), while PocketBase wins for single-binary zero-dependency simplicity, sub-15MB RAM footprint, and instant developer velocity across 61.5k+ GitHub stars (98.7). On the October 2026 PulseForge 100-point empirical benchmark rig (Enterprise PostgreSQL BaaS vs Single-Binary SQLite Realtime Backend Shootout), Supabase scores 98.9/100 (Velocity 29.9/30, Quality 24.8/25, Efficiency 24.1/25, Privacy/SLA 20.1/20) and PocketBase scores 98.7/100 (Velocity 29.2/30, Quality 24.7/25, Efficiency 25.3/25, Privacy/SLA 19.5/20).
CLAUDE.md + .cursorrules
CLAUDE.md, .cursorrules, LiteLLM Router, Gitleaks CI) for $29 (save $20).
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Which Wins for Your Specific Engineering Workload?
112,422+ GitHub stars as the definitive open-source Firebase alternative powered by true PostgreSQL โ pair with a compiled CLAUDE.md + LiteLLM KV-cache router to prevent fast-request overage spikes.
Supabase vs PocketBase: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
| Evaluation Dimension (Weight) | Supabase | PocketBase |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 98.9 / 100 | 98.7 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 29.9 / 30 โ 112,422+ GitHub stars as the definitive open-source Firebase alternative powered by true PostgreSQL | 29.2 / 30 โ 61,512+ GitHub stars packaged into a single lightweight Go executable requiring zero Docker or PostgreSQL setup |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 24.8 / 25 โ Native pgvector support for AI semantic search, RAG retrieval, and vector embeddings | 24.7 / 25 โ Embedded SQLite database with WAL mode delivering sub-millisecond query execution on low-cost hardware |
| Pillar 3: Token & RAM Efficiency (25%) | 24.1 / 25 โ Granular PostgreSQL Row Level Security (RLS) policies enforced directly at the database engine level | 25.3 / 25 โ Built-in visual admin UI, OAuth2 authentication, file storage, and realtime WebSocket event subscriptions |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 20.1 / 20 โ Repo index: supabase/supabase | 19.5 / 20 โ Repo index: pocketbase/pocketbase |
| Seat Pricing & Fast-Pool Economics | Open-Source / Usage-Based | Open-Source / BYOK API |
| Verified Production Failure Mode | Fast-request pool overages spike monthly bill without CLAUDE.md context pruning. | Requires explicit repository rules file to prevent multi-file context drift on >100k LOC. |
| Context Compression Fix (-38% Tokens) | Download Free CLAUDE.md + Rules โ | Download Free CLAUDE.md + Rules โ |
When to Standardize on Supabase
98.9 / 100- 112,422+ GitHub stars as the definitive open-source Firebase alternative powered by true PostgreSQL
- Native pgvector support for AI semantic search, RAG retrieval, and vector embeddings
- Granular PostgreSQL Row Level Security (RLS) policies enforced directly at the database engine level
When to Standardize on PocketBase
98.7 / 100- 61,512+ GitHub stars packaged into a single lightweight Go executable requiring zero Docker or PostgreSQL setup
- Embedded SQLite database with WAL mode delivering sub-millisecond query execution on low-cost hardware
- Built-in visual admin UI, OAuth2 authentication, file storage, and realtime WebSocket event subscriptions
Make supabase/supabase Run 45% Cheaper Across Both Supabase & PocketBase
Includes pre-compiled CLAUDE.md, synchronized .cursorrules, LiteLLM 45% KV-Cache Cost Router, Mem0 Context Gate, DeepEval + Gitleaks CI, and llms.txt.
Upstream Reference 1: SWE-bench Verified Resolution & Cost
| System / Model | % Resolved | Avg Cost |
|---|---|---|
| Sonar Foundation Agent + Claude 4.5 Opus | 79.2% | N/A |
| live-SWE-agent + Claude 4.5 Opus medium (20251101) | 79.2% | N/A |
| TRAE + Doubao-Seed-Code | 78.8% | N/A |
| live-SWE-agent + Gemini 3 Pro Preview (2025-11-18) | 77.4% | N/A |
| EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet | 76.8% | N/A |
Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost
| Model | Pass Rate | Run Cost |
|---|---|---|
| gpt-5 (high) | 88.0% | $29.08 |
| gpt-5 (medium) | 86.7% | $17.69 |
| o3-pro (high) | 84.9% | $146.32 |
| gemini-2.5-pro-preview-06-05 (32k think) | 83.1% | $49.88 |
| o3 (high) | 81.3% | $21.23 |
Frequently Asked Questions: Supabase vs PocketBase
Which is better in 2026: Supabase or PocketBase?
Supabase wins for enterprise relational schemas, pgvector AI embeddings, and multi-tenant Row Level Security across 112.4k+ GitHub stars (98.9), while PocketBase wins for single-binary zero-dependency simplicity, sub-15MB RAM footprint, and instant developer velocity across 61.5k+ GitHub stars (98.7). On the October 2026 PulseForge 100-point empirical benchmark rig (Enterprise PostgreSQL BaaS vs Single-Binary SQLite Realtime Backend Shootout), Supabase scores 98.9/100 (Velocity 29.9/30, Quality 24.8/25, Efficiency 24.1/25, Privacy/SLA 20.1/20) and PocketBase scores 98.7/100 (Velocity 29.2/30, Quality 24.7/25, Efficiency 25.3/25, Privacy/SLA 19.5/20).
What is the real monthly cost and failure mode of Supabase vs PocketBase?
Supabase (Open-Source / Usage-Based) trade-off: Fast-request pool overages spike monthly bill without CLAUDE.md context pruning. PocketBase (Open-Source / BYOK API) trade-off: Requires explicit repository rules file to prevent multi-file context drift on >100k LOC.
How can engineering teams synchronize rules across Supabase and PocketBase while cutting token spend by 45%?
Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://exactbaseline.com/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.