vector databases 100% Deterministic Spec Audit

Qdrant vs Supabase Vector

Comparing architecture, runtime limits, open-source licenses, and monthly costs for autonomous agent pipelines.

Qdrant

Qdrant Solutions GmbH (Andre Zayarni & Andrey Vasnetsov)

Supabase Vector

Supabase Inc. (Paul Copplestone & Ant Wilson)

Detailed Specifications & Compatibility Matrix

Extracted directly from GitHub REST API & official developer documentation

Technical Feature / Metric Qdrant Supabase Vector
Developer / Organization Qdrant Solutions GmbH (Andre Zayarni & Andrey Vasnetsov) Supabase Inc. (Paul Copplestone & Ant Wilson)
Open-Source Engine ✓ Open Source (Apache-2.0) ✓ Open Source (Apache-2.0)
GitHub Stars (Repo/SDK) ★ 35,242 GitHub Stars ★ 113,917 GitHub Stars
Core Repository Language Rust TypeScript
Supported SDK Clients
rustpythontypescriptgo
typescriptpythondartswiftgo
Self-Hosted Deployment ✓ Supported ✓ Supported
Docker / Container Ready ✓ Official Image ✓ Official Image
Model Context Protocol (MCP) ✓ Native MCP ✓ Native MCP
Billing Architecture hybrid hybrid
Developer Free Tier
✓ Yes

Permanent 1GB cluster on Qdrant Cloud + unlimited self-hosted

✓ Yes

500MB database storage (2 free projects)

Entry Paid Tier (Monthly) $25 USD / mo $25 USD / mo
Pricing & Cost Architecture 100% Free and open-source under Apache-2.0 for self-hosting. Qdrant Cloud provides a perpetual 1GB free cluster; production dedicated managed clusters start at $25/mo. 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 Engineered from scratch in Rust with SIMD hardware optimizations to prevent unpredictable garbage collection pauses that plague Java- and C++-based vector engines. 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

Qdrant Evaluation

Key Advantages

  • ✓ Written in Rust with native SIMD instruction support, delivering ultra-high search throughput and low tail latencies
  • ✓ Full payload-based metadata filtering with comprehensive payload indexing without search degradation
  • ✓ Permissive Apache-2.0 open-source license with official Docker images, Kubernetes Helm charts, and cloud clusters

Limitations & Trade-Offs

  • ✕ Self-hosting multi-node distributed clusters requires operational tuning of RAM, disk cache, and snapshots
  • ✕ Configuring scalar quantization thresholds requires testing to balance memory reduction against recall accuracy

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

Qdrant Documentation Proof

PRICING:

"Managed Qdrant Cloud dedicated clusters begin at $25/month."

FREE_TIER:

"Free 1GB cluster available on Qdrant Cloud forever."

SELF_HOSTED:

"100% open source under Apache 2.0 with official Docker and Kubernetes manifests."

Supabase Vector Documentation Proof

PRICING:

"Pro plan is $25/month including 8GB disk space, 100k monthly active users, and no project pausing."

FREE_TIER:

"Free tier includes 2 free projects, 500MB database space, and up to 50,000 monthly active users."

SELF_HOSTED:

"Supabase is open source and self-hostable with Docker."

Frequently Asked Questions: Qdrant vs Supabase Vector

Architectural trade-offs and decision criteria

Is Qdrant or Supabase Vector cheaper for developers?

Qdrant has a starting price of $25/mo (hybrid), while Supabase Vector starts at $25/mo (hybrid). Qdrant includes a free tier (Permanent 1GB cluster on Qdrant Cloud + unlimited self-hosted). Supabase Vector offers a free tier (500MB database storage (2 free projects)).

Can I self-host Qdrant and Supabase Vector in my own infrastructure?

Qdrant is self-hostable under the Apache-2.0 license. In comparison, Supabase Vector is available for self-hosting with Apache-2.0 licensing.

Do Qdrant and Supabase Vector support the Model Context Protocol (MCP)?

Qdrant has native support for MCP servers. Supabase Vector fully supports Model Context Protocol integrations.

Which programming languages have official SDKs for Qdrant vs Supabase Vector?

Qdrant provides official SDKs in: rust, python, typescript, go. Meanwhile, Supabase Vector supports: typescript, python, dart, swift, go.