Bearly AI vs Supabase Vector
Comparing architecture, runtime limits, open-source licenses, and monthly costs for autonomous agent pipelines.
Detailed Specifications & Compatibility Matrix
Extracted directly from GitHub REST API & official developer documentation
| Technical Feature / Metric | Bearly AI | Supabase Vector |
|---|---|---|
| Developer / Organization | Bearly Inc. (Trung Phan & Team) | Supabase Inc. (Paul Copplestone & Ant Wilson) |
| Open-Source Engine | ✕ Proprietary Cloud | ✓ Open Source (Apache-2.0) |
| GitHub Stars (Repo/SDK) | Proprietary / Closed Core | ★ 113,917 GitHub Stars |
| Core Repository Language | Cloud API | TypeScript |
| Supported SDK Clients | ||
| Self-Hosted Deployment | Hosted Only | ✓ Supported |
| Docker / Container Ready | Managed | ✓ Official Image |
| Model Context Protocol (MCP) | Standard REST/gRPC | ✓ Native MCP |
| Billing Architecture | flat fee | hybrid |
| Developer Free Tier | ✓ Yes 100 free script executions / mo | ✓ Yes 500MB database storage (2 free projects) |
| Entry Paid Tier (Monthly) | $20 USD / mo | $25 USD / mo |
| Pricing & Cost Architecture | Free tier provides 100 script executions per month. Premium subscription is $20/mo for unlimited standard script evaluations and enhanced compute capacity. | Free tier offers 2 managed projects with 500MB database storage (~250k vectors). Pro plan starts at $25/mo with 8GB storage and scalable compute add-ons. |
| Key Engineering Insight | Created by tech analyst and creator Trung Phan; engineered specifically to power research, financial data analysis, and document parsing agents without infrastructure setup. | Allows developers to store relational application state, user authentication (Row Level Security), and high-dimensional vector embeddings inside a single ACID-compliant Postgres database. |
Strengths & Trade-Offs
Objective engineering evaluation of both platforms
Bearly AI Evaluation
Key Advantages
- ✓ High-level simplified API designed specifically for agentic Python evaluation and document summarization
- ✓ Zero infrastructure management: send Python code strings and receive structured execution outputs
- ✓ Pre-installed scientific computing packages (pandas, numpy, matplotlib, sympy) ready out of the box
Limitations & Trade-Offs
- ✕ Limited to standard script evaluations; cannot run custom long-running background daemons or multi-port services
- ✕ Proprietary SaaS with flat monthly pricing rather than granular compute-second metering
Supabase Vector Evaluation
Key Advantages
- ✓ Combines vector search with full Postgres ecosystem: Row Level Security, ACID transactions, and relational joins
- ✓ Instant auto-generated client APIs (REST, GraphQL, real-time WebSockets) with zero backend boilerplate
- ✓ Permissive open-source stack with official Docker compose deployment for self-hosting on any VPS
Limitations & Trade-Offs
- ✕ Free tier projects pause automatically after 7 days of inactivity (resumed upon dashboard login)
- ✕ Dedicated standalone C++ vector stores can achieve higher raw QPS for multi-million vector datasets
Source Quotes
Direct excerpts from official documentation backing our extracted specifications
Bearly AI Documentation Proof
"Premium subscription starts at $20/month."
"Free tier includes 100 monthly executions."
"Cloud-based hosted API execution engine."
Supabase Vector Documentation Proof
"Pro plan is $25/month including 8GB disk space, 100k monthly active users, and no project pausing."
"Free tier includes 2 free projects, 500MB database space, and up to 50,000 monthly active users."
"Supabase is open source and self-hostable with Docker."
Frequently Asked Questions: Bearly AI vs Supabase Vector
Architectural trade-offs and decision criteria
Is Bearly AI or Supabase Vector cheaper for developers?
Bearly AI has a starting price of $20/mo (flat fee), while Supabase Vector starts at $25/mo (hybrid). Bearly AI includes a free tier (100 free script executions / mo). Supabase Vector offers a free tier (500MB database storage (2 free projects)).
Can I self-host Bearly AI and Supabase Vector in my own infrastructure?
Bearly AI is a cloud-managed service only. In comparison, Supabase Vector is available for self-hosting with Apache-2.0 licensing.
Do Bearly AI and Supabase Vector support the Model Context Protocol (MCP)?
Bearly AI does not currently list native MCP server compatibility. Supabase Vector fully supports Model Context Protocol integrations.
Which programming languages have official SDKs for Bearly AI vs Supabase Vector?
Bearly AI provides official SDKs in: python, curl. Meanwhile, Supabase Vector supports: typescript, python, dart, swift, go.