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Tencent Cloud VectorDB

#23 of 27 in Vector Databases

Tencent Cloud VectorDB: A broad, high-availability vector service for enterprise cloud workloads, with no free plan. Ranked #23 of 27 in Vector Databases by our editors (7.1/10); pricing: Paid; best for enterprise cloud users needing high availability.

7.1/10Editor score
Tencent Cloud VectorDB7.1 Visit Tencent Cloud

At a glance

  • Editor score
    7.1 / 10
  • Pricing
    Paid
  • Best for
    Enterprise cloud users needing high availability
  • Paid from
    344 CNY/mo
  • Deployment
    Cloud
  • Facts checked
    22 Sep 2026
Tencent Cloud VectorDB screenshot
  • Where it wins

    • High-availability multi-replica architecture with two-node plans
    • Supports dense, sparse, hybrid search, filtering, and automatic embeddings
    • Offers FLAT, HNSW, IVF, binary, and disk-based index types
  • Where it doesn't

    • No free plan for smaller or exploratory deployments
    • Monthly plans start at 344 CNY and vary by region
    • Access is API-based rather than through broader platform options

Our verdict on Tencent Cloud VectorDB

Tencent Cloud VectorDB is a fully managed, distributed vector database for storing, indexing, retrieving, and managing machine-learning embeddings. It is aimed at enterprise cloud teams building large-language-model knowledge bases, recommendation systems, natural-language processing, computer vision, and text or image retrieval applications. The service supports vector and metadata filtering, dense and sparse retrieval, hybrid search, automatic text embedding, and multiple distance metrics. It is available through an API, with SDK language support for Python, Java, and Go.

Pricing is structured around monthly high-availability plans. The 344 CNY-per-month High-availability Compute plan includes 1 CPU core, 2 GB memory, 20 GB disk, 2 nodes, and capacity for 50w vectors at 768 dimensions. The 584 CNY High-availability Storage plan provides 1 CPU core, 8 GB memory, 20 GB disk, 2 nodes, and 200w vectors at 768 dimensions. The 872 CNY High-availability Standard plan adds 2 CPU cores while retaining 8 GB memory, 20 GB disk, 2 nodes, and 200w vectors at 768 dimensions. The 1256 CNY High-availability Compute plan provides 4 CPU cores with the same listed storage, node, and vector capacity as the Standard plan. Tencent Cloud states that pricing varies by geographic region and supports annual/monthly subscription and pay-as-you-go billing.

Its main strength is breadth: teams can choose among FLAT, HNSW, IVF, binary, and disk-based indexes, apply filter indexes and expressions, combine dense and sparse vectors, and use automatic text embedding during writes and searches. The service supports dimensions up to 4096 and distance metrics including L2, inner product, cosine, and Hamming. That combination suits production AI applications needing managed storage and multi-replica availability. Teams seeking a free starting point, a lower entry price, or access beyond an API should consider a different vector database.

Your product? Our editors can test Tencent Cloud VectorDB in depth and publish a review, labelled as paid · from $149/mo →

Tencent Cloud VectorDB pricing

Plans Paid No free plan — trial or paid only. Prices checked 22 Sep 2026.
See plans on cloud.tencent.cn

All 4 Tencent Cloud VectorDB plans and prices →

Tencent Cloud VectorDB fact sheet

Free planNot verified
Paid from344 CNY/mo
DeploymentCloud
Hybrid searchYes
Metadata filteringYes
Sparse vectorsYes
Maximum dimensionsNot verified
Index typesFLAT, HNSW, IVF family, DISK_FLAT
SDK languagesPython, Java, Go
DeploymentCloud
PlatformsWeb
SupportDocs, Tickets
Built forSmall business, Mid-market, Enterprise (editorial estimate)
PricingPaid (source)
Websitecloud.tencent.cn
Facts checked22 Sep 2026

Alternatives to Tencent Cloud VectorDB

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Featured on iTechGuides

Featured on iTechGuides — Tencent Cloud VectorDB 7.1/10

Tencent Cloud VectorDB is listed in our Vector Databases directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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