Head to head

Supabase Vector (pgvector) vs Weaviate Cloud

As a vector database API, Supabase Vector (pgvector) rates higher on the APIbenchmarks Index, 85.2 to 79.6, a 5.6-point gap. Here is how they compare on each criterion.

85.2ABI / 100

Postgres-native embeddings, no separate service

79.6ABI / 100

Hybrid search + AI-native query agents

Criterion by criterion

CriterionSupabase Vector (pgvector)Weaviate Cloud
Documentation & DX
86
84
Reliability
80
80
Ecosystem & SDKs
84
80
Accessibility
92
72
APIbenchmarks Index85.279.6

Specifications

Supabase Vector (pgvector)Weaviate Cloud
Best forPostgres-native embeddings, no separate serviceHybrid search + AI-native query agents
Free tierFree project: 500MB DB, pgvector included14-day sandbox only (auto-expires), no permanent free
PricingBundled in Postgres plan (storage-based)Usage-based (dimensions + storage)
Official SDKs7 languages7 languages

Is Supabase Vector (pgvector) better than Weaviate Cloud?

On the APIbenchmarks Index, Supabase Vector (pgvector) rates higher (85.2 vs 79.6). It leads on the four weighted criteria, but price is reported separately, so the best choice still depends on your budget.

Verdict in one line

Supabase Vector (pgvector) leads by 5.6 points (85.2 vs 79.6) and wins 3 of 4 criteria.

Winner by criterion

CriterionSupabase Vector (pgvector) logoSupabase Vector (pgvector)Weaviate Cloud logoWeaviate CloudWinner
Documentation & DX8684Supabase Vector (pgvector) logoSupabase Vector (pgvector)
Reliability8080Tie
Ecosystem & SDKs8480Supabase Vector (pgvector) logoSupabase Vector (pgvector)
Accessibility9272Supabase Vector (pgvector) logoSupabase Vector (pgvector)
Supabase Vector (pgvector) vs Weaviate Cloud API comparison: ABI 85.2 vs 79.6; documentation & dx 86 vs 84, reliability 80 vs 80, ecosystem & sdks 84 vs 80, accessibility 92 vs 72.
Supabase Vector (pgvector) vs Weaviate Cloud API comparison: ABI 85.2 vs 79.6; documentation & dx 86 vs 84, reliability 80 vs 80, ecosystem & sdks 84 vs 80, accessibility 92 vs 72.

Choose Supabase Vector (pgvector) if… / choose Weaviate Cloud if…

Supabase Vector (pgvector) logoChoose Supabase Vector (pgvector) if
  • →documentation & dx matters most to you (86 vs 84)
  • →ecosystem & sdks matters most to you (84 vs 80)
  • →accessibility matters most to you (92 vs 72)
  • →your use case matches its focus: postgres-native embeddings, no separate service
Weaviate Cloud logoChoose Weaviate Cloud if
  • →your use case matches its focus: hybrid search + ai-native query agents

Pricing side by side

Supabase Vector (pgvector) logoSupabase Vector (pgvector)
Model
Bundled in Postgres plan (storage-based)
Free tier
Free project: 500MB DB, pgvector included
  • Free$0/mo
  • Pro$25/mo per org
  • Team$599/mo per org
  • EnterpriseCustom
Weaviate Cloud logoWeaviate Cloud
Model
Usage-based (dimensions + storage)
Free tier
14-day sandbox only (auto-expires), no permanent free
  • Free / Sandbox$0
  • Flexfrom $45/mo
  • Premium (Shared)from $400/mo
  • Premium Dedicatedfrom $400/mo
  • Enterprise / BYOCCustom

Vendor-published pricing, verified 2026-06-27 (Supabase Vector (pgvector)) and 2026-06-27 (Weaviate Cloud).

SDK and language coverage

Both · 1
Python (supabase-py)
Only Supabase Vector (pgvector) · 6
TypeScript / JavaScriptvecs (Python vector client)SwiftKotlinDart / FlutterSQL (native pgvector operators)
Only Weaviate Cloud · 6
JavaScript / TypeScript (v3 client)GoJava (v6 client)GraphQL APIREST APIgRPC API

Strengths and weaknesses

Supabase Vector (pgvector) logoSupabase Vector (pgvector)
  • +Embeddings live in the same Postgres as relational data, no separate vector service to provision or keep in sync
  • +Combine vector similarity with SQL WHERE filters, joins, and row-level security in a single query
  • +HNSW indexing (pgvector 0.5.0+) reaches accuracy@10 of 0.99 at 1M vectors and beat Qdrant on equivalent compute in Supabase's benchmarks
  • –HNSW index builds are memory-bound and can take hours on a 10M-row, 1536-dim table, producing tens-of-GB indexes
  • –Good query latency requires the index to fit in RAM, pushing you to larger, costlier compute add-ons
  • –Performance degrades and p99 tail latency grows beyond roughly 5–50M vectors on a single node, not ideal for billion-scale search
Weaviate Cloud logoWeaviate Cloud
  • +Native hybrid search (HNSW vector + BM25 keyword) with a single query, a standout vs index-only competitors
  • +Strong, transparent published ANN benchmarks (e.g. 98.35% recall@10 at ~10,940 QPS on SIFT1M)
  • +Built-in vectorizer and generative modules (OpenAI, Cohere, Hugging Face) plus bundled Weaviate Embeddings and Agents
  • –Managed cost scales steeply, tens of millions of high-dimensional vectors can run into thousands of dollars per month
  • –Pricing model is hard to estimate; metering jargon (vector dimensions, AIUs) makes budgeting difficult, a frequent Reddit/G2 complaint
  • –Advanced operations (sharding, schema design, replication tuning) have a steep learning curve for beginners

Supabase Vector (pgvector) vs Weaviate Cloud: questions

Which has better documentation, Supabase Vector (pgvector) or Weaviate Cloud?
Supabase Vector (pgvector) scores higher on documentation and developer experience: 86 vs 84 out of 100.
Which is more reliable, Supabase Vector (pgvector) or Weaviate Cloud?
Supabase Vector (pgvector) and Weaviate Cloud score the same on reliability (80).
Do Supabase Vector (pgvector) and Weaviate Cloud have a free tier?
Supabase Vector (pgvector): yes (Free project: 500MB DB, pgvector included). Weaviate Cloud: yes (14-day sandbox only (auto-expires), no permanent free).
How are Supabase Vector (pgvector) and Weaviate Cloud priced?
Supabase Vector (pgvector): Bundled in Postgres plan (storage-based). Weaviate Cloud: Usage-based (dimensions + storage).
Which has more official SDKs?
Both list 7 official SDKs.

Other Vector Database comparisons