What is pgvector and how does it compare to Pinecone?

pgvector's a free Postgres extension for vector similarity search. Beats Pinecone on latency (5ms vs 12ms) and cost ($30-150 vs $50-80) in recent benchmarks, with tunable HNSW indexing.

Is pgvector fast enough for production vector search?

Yes – users report dropping from 200ms to 80ms after switching. Handles 1M+ vectors at 1536 dims with 98.5% recall.

pgvector vs Qdrant: Which is cheaper?

pgvector on Neon wins at $30-150/mo vs Qdrant's $65-102, plus no data egress fees or lock-in.

☁️ Cloud & Databases

pgvector Crushes Pinecone in Real-World Benchmarks – Time to Ditch the Hype?

Think Postgres can't handle vector search? This benchmark says otherwise – pgvector laps Pinecone on latency and slashes costs. Silicon Valley's vector darlings might be sweating.

theAIcatchup Apr 08, 2026 4 min read

Benchmark chart comparing latency of pgvector, Pinecone, Qdrant, Weaviate on 1M vectors

⚡ Key Takeaways

pgvector delivers ~5ms latency on 1M vectors, beating Pinecone's 12ms and rivaling Qdrant. 𝕏
Costs plummet with pgvector on Neon ($30-150/mo) vs managed options like Pinecone ($50-80). 𝕏
Postgres extensions like pgvector are commoditizing vector DBs, echoing NoSQL's decline. 𝕏

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theAIcatchup

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#Pinecone #Postgres #Qdrant #Qdrant benchmark #pgvector #vector database benchmark #vector databases

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