ManyVector
ManyVector: A cost-conscious vector database for hybrid search and branch-based evaluation. Ranked #22 of 27 in Vector Databases by our editors (7.2/10); pricing: Free plan; best for cost-sensitive teams wanting branching and hybrid search.
At a glance
- Editor score7.2 / 10
- PricingFree plan
- Best forCost-sensitive teams wanting branching and hybrid search
- Free planYes
- Paid from$0.00004/unit usage-based
- DeploymentBoth
- Facts checked22 Sep 2026
Where it wins
- 100 million vectors included in the Free Tier
- Hybrid vector and BM25 search with metadata filtering
- Namespace branching supports evaluation, snapshots, and rollback
Where it doesn't
- Growth usage is charged per query above the free tier
- Self-hosted VPC and air-gapped deployment require Enterprise
- SDK support is listed for Python and TypeScript
Our verdict on ManyVector
ManyVector is a vector database for retrieval-augmented generation, semantic search, recommendations, and AI-agent memory. It stores vectors and indexes in customer-controlled object storage, including Amazon S3, Google Cloud Storage, Cloudflare R2, Azure Blob Storage, MinIO, Tigris, and Wasabi. The product is available as a managed service and supports self-hosted deployments for enterprise customers, making it relevant for teams that want search infrastructure connected to their own storage environment.
The Free Tier includes 100 million vectors, vector, full-text, and hybrid search, metadata filtering, namespace branching, and Python and TypeScript SDKs. The Growth plan adds unlimited vectors in the customer’s bucket, priority email support, and namespace branching for model evaluation and A/B testing; its published pricing is usage-based per query above the free tier rather than a monthly subscription. Enterprise adds self-hosted VPC or air-gapped deployment, SSO/SAML, SCIM directory sync, and a 99.9% uptime SLA. This structure suits teams that want to begin without a paid plan and expand usage while keeping persistence in their own object storage.
Search depth is a central strength. ManyVector combines dense approximate-nearest-neighbor search using HNSW, BM25 full-text search over stored attributes, sparse-vector storage and querying, and hybrid ranking through Reciprocal Rank Fusion. Structured metadata filtering and copy-on-write namespace branching extend the same API from retrieval into snapshots, evaluation, and rollback workflows. Teams prioritizing hybrid retrieval, controlled storage, or branch-based model evaluation should consider ManyVector. Teams needing broader SDK coverage, or enterprise controls without the Enterprise plan, should consider an alternative that better matches those requirements.
Your product? Our editors can test ManyVector in depth and publish a review, labelled as paid · from $149/mo →
ManyVector pricing
All 3 ManyVector plans and prices →
ManyVector fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $0.00004/unit usage-based |
| Deployment | Both |
| Hybrid search | Yes |
| Metadata filtering | Yes |
| Sparse vectors | Yes |
| Maximum dimensions | Not verified |
| Index types | HNSW, inverted index |
| SDK languages | Python, TypeScript |
| Deployment | Cloud, Self-hosted |
| Compliance & security | SOC 2, SSO/SAML |
| Support | Email, Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 7 integrations: Amazon S3, Google Cloud Storage, Cloudflare R2, Azure Blob Storage, MinIO, Tigris … See all → |
| Pricing | Free plan (source) |
| Website | manyvector.com |
| Facts checked | 22 Sep 2026 |
ManyVector integrations
ManyVector lists 7 integrations on its own site.
- Amazon S3
- Google Cloud Storage
- Cloudflare R2
- Azure Blob Storage
- MinIO
- Tigris
- Wasabi
See all ManyVector integrations →
Alternatives to ManyVector
- ElasticsearchA broad hybrid-search platform for teams adding vectors to mature analytics stacks.9.3
- Vertex AI Vector SearchA managed Google Cloud option for teams building dense, sparse, and hybrid search.9.2
- VikingDBA cloud vector database with dense, sparse, hybrid, filtered, and multimodal retrieval.9.1
See all ManyVector alternatives →
Used ManyVector? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used ManyVector for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
ManyVector is listed in our Vector Databases directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/manyvector/"><img src="https://www.itechguides.com/best/badge/manyvector.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update