Pinecone vs Weaviate vs Qdrant vs LlamaParse (formerly LlamaCloud)
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Pinecone
Serverless vector database with pay-per-use pricing
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Weaviate
Open-source vector database with hybrid search built in
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Qdrant
Rust vector search engine built for filtering-heavy AI workloads
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LlamaParse (formerly LlamaCloud)
LlamaIndex's managed document parsing and extraction platform, renamed...
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| RECATOOLS Score | 8.1 / 10 | 8 / 10 | 8.7 / 10 | 7 / 10 |
| Capability | ||||
| Value for money | ||||
| Ease of use | ||||
| ASEAN readiness | ||||
| API quality | ||||
| Pricing | Freemium | Open Source | Open Source | Freemium |
| Free tier | Starter: free, up to 5 serverless indexes, AWS us-east-1 only | Always-free Weaviate Cloud sandbox (100,000 objects, 1 GB memory, 10 GB disk, 1 collection); BSD-3-Clause core free to self-host | Free forever cluster: 1 node, 0.5 vCPU, 1GB RAM, 4GB disk (~1M 768-dim vectors per docs), no card; suspended after 1 week idle. Self-hosted engine free (Apache-2.0) | Free plan: 10,000 credits a month (about 3,300 pages at the cost-effective tier), 100 users, community support; upgrade to Starter for pay-as-you-go |
| Paid from | From $20/mo (Builder, flat); Standard $50/mo minimum usage; Enterprise $500/mo minimum usage | Flex from $45/mo pay-as-you-go; Premium prepaid contract, minimum from $400/mo | Standard: usage-based, billed hourly on vCPU, RAM, disk and backups | $50/mo Starter (40K credits); Pro $500/mo; extra credits $1.25 per 1,000 |
| Has API | ✓ | ✓ | ✓ | ✓ |
| Open source | ✗ | ✓ | ✓ | ✗ |
| Free to use | ✓ | ✓ | ✓ | ✓ |
| Users | — | — | — | — |
| Founded | 2019 | 2019 | 2021 | 2024 |
| Maker | — | — | Independent (Qdrant Solutions GmbH) | LlamaIndex, Inc. |
| Verdict | Pinecone remains the reference point for managed vector databases: serverless architecture that auto-scales without index-sizing decisions, low-latency queries, and SDKs across Python, TypeScript, Java and Go that make i... |
Weaviate pairs vector similarity with BM25 keyword search in a single query, and its built-in vectorizer modules mean you are not always wiring your own embedding pipeline. G2 reviewers rate it 4.4 out of 5 across 49 rev... |
Qdrant is one of the strongest open-source vector databases, especially where search has to be combined with complex filters, and its free cloud cluster and permissive licence make it easy to start. Its performance claim... |
LlamaParse is one of the strongest options for parsing difficult documents into AI-ready data, with flexible quality modes, extraction tools and serious deployment and compliance options. The rename from LlamaCloud and t... |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.