Marqo vs Weaviate vs Qdrant vs Pinecone

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

	Marqo Multimodal vector search engine built for ecommerce product discovery Visit	Weaviate Open-source vector DB with hybrid search, now backed by $200M Visit	Qdrant Rust vector search engine built for filtering-heavy AI workloads Visit	Pinecone Serverless vector database with pay-per-use pricing Visit
RECATOOLS Score	7.2 / 10	8 / 10	8.7 / 10	8.1 / 10
Capability	7.5	8	9	8
Value for money	7	8	9	7
Ease of use	7	6	6	8
ASEAN readiness	6.5	7	6	6
API quality	8	9	9	9
Pricing	Freemium	Open Source	Open Source	Freemium
Free tier	—	—	—	—
Paid from	—	—	—	—
Has API	✓	✓	✓	✓
Open source	✓	✓	✓	✗
Free to use	✗	✓	✓	✓
Users	—	—	—	—
Founded	—	2019	2021	2019
Maker	—	—	—	—
Verdict	Marqo began as a general-purpose open-source vector database out of Melbourne, then narrowed hard into ecommerce product discovery — a market where it can point to named customers like Mejuri, KICKS CREW, Kogan and SwimO...	Weaviate pairs vector similarity with BM25 keyword search in a single query object, and built-in vectorizer modules mean you're not always wiring your own embedding pipeline. G2 reviewers (30+, averaging around 4.6) call...	Qdrant's pitch is speed with filters attached — G2 reviewers give it a 9.3 for semantic search accuracy and 9.1 for ease of use in head-to-head comparisons, and metadata filtering (combining vector similarity with struct...	Pinecone remains the reference point for managed vector databases: serverless architecture that auto-scales without index-sizing decisions, sub-second queries at billions of vectors, and SDKs across Python, JS and Java t...
	Full review →	Full review →	Full review →	Full review →

← Back to AI Directory

Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.