vioscaleAI
Comparison

KDB.AI vs Zilliz Cloud

On the evidence we track, Zilliz Cloud leads this comparison with a composite score of 80/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

KDB.AI full profile →Zilliz Cloud full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
KDB.AI47
★Zilliz Cloud80
Score
vioscaleAI score
KDB.AI47 / 100low · 24%
Zilliz Cloud80 / 100medium · 74%
Pricing
Free tier
KDB.AI✓
Zilliz Cloud✓
Model
KDB.AIcommercial
Zilliz Cloudfreemium
Price level
KDB.AIlow
Zilliz Cloudhigh
Starting price
KDB.AI–
Zilliz Cloud$197
Transparent
KDB.AI✗
Zilliz Cloud✓
Integrations
Count
KDB.AI5
Zilliz Cloud1,000
Security
Certifications
KDB.AI–
Zilliz CloudSOC 2 Type II, ISO/IEC 27001
Disclosure policy
KDB.AI✓
Zilliz Cloud–
Gdpr
KDB.AI–
Zilliz Cloud✓
Hipaa
KDB.AI–
Zilliz Cloud✓
Iso27001
KDB.AI–
Zilliz Cloud✓
Soc2
KDB.AI–
Zilliz Cloud✓
Trust center
KDB.AI–
Zilliz Cloudhttps://zilliz.com/trust-center
Reliability
Sla pct
KDB.AI–
Zilliz Cloud99.95
Status page
KDB.AI–
Zilliz Cloud✓
Market
Availability
KDB.AI–
Zilliz CloudAvailable worldwide
Content
Faq
KDB.AI4 items
Zilliz Cloud6 items

Capabilities

Feature-by-feature on the axes that matter for vector databases. “-” means undocumented, not absent.

Deployment
Deployment
KDB.AIManaged
Zilliz CloudManaged
Serverless / consumption pricing
KDB.AI-
Zilliz Cloud✓
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
KDB.AIFlat, qFlat, IVF, IVFPQ, HNSW, qHnsw
Zilliz CloudHNSW, IVF, FLAT (brute-force), SCANN, DiskANN
Distance metrics (cosine / dot / Euclidean)
KDB.AIEuclidean, Inner-Product, Cosine
Zilliz Cloudcosine, Euclidean
Query
Metadata filtering
KDB.AIPre-filter
Zilliz CloudPost-filter
Hybrid search (dense + sparse fusion)
KDB.AI✓
Zilliz Cloud✓
Built-in BM25 / lexical
KDB.AI✓
Zilliz Cloud✓
Storage
Quantization
KDB.AIProduct
Zilliz Cloud-
On-disk vs in-memory
KDB.AIDisk-backed
Zilliz CloudTiered
Scale
Multi-tenancy (namespaces / collections / tenants)
KDB.AI✓
Zilliz Cloud✓
Horizontal scale
KDB.AISharded / distributed
Zilliz CloudSharded / distributed
Consistency
Consistency
KDB.AI-
Zilliz Cloud-
Licensing
Licence class
KDB.AI-
Zilliz CloudProprietary
Classification
Purpose-built vs feature-of-parent
KDB.AIDedicated DBMS
Zilliz CloudDedicated DBMS

What each one is

The product in its own terms, so the numbers below have context.

KDB.AI

KDB.AI is a specialized vector database enabling developers to build AI-powered applications by integrating vector embeddings with structured time-series data. It supports hybrid search, multimodal retrieval, and real-time analytics for generative AI and RAG applications.

Independently observed

Zilliz Cloud

Leader

Zilliz Cloud is a managed cloud service built on the open-source Milvus vector database. It handles storage, indexing, and similarity search at scale for unstructured data, supporting vector search, full-text search, and hybrid retrieval for AI and machine learning workloads.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

KDB.AI

HybridFree tier

Free tier available; enterprise pricing via contact sales

  • FreeFree
as of verify ↗

Zilliz Cloud

Leader
from $197/moHybridFree tier30-day trial

Free tier with 5 GB storage. Serverless pricing from $0/month pay-per-query. Dedicated clusters from $197/month. Annual commitments available.

  • FreeFree
    • Community support via Slack
    • Vector search
    • Filtered search
    • Range search
  • ServerlessPay-per-query pricing, system-managed auto-scaling
    • Fully managed vector databases
    • Backup and restore
    • Basic monitoring
    • Built-in encryption for data in transit and at rest
    • Vector search
    • +2 more
  • DedicatedFrom $197/month base, plus $0.126/GB storage, dedicated infrastructure
    • 99.95% uptime SLA
    • SSO (SAML 2.0)
    • Granular RBAC
    • Multi-replica and elastic scaling
    • Global cluster with disaster recovery
    • +9 more
  • BYOCContact sales
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
KDB.AI–
Zilliz Cloud✓
CLI
KDB.AI–
Zilliz Cloud✓
Deployment
Cloud / SaaS
KDB.AI✓
Zilliz Cloud✓
On-premise
KDB.AI✓
Zilliz Cloud✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (2)
  • Langchain
  • Voyage AI

KDB.AI

8 total - 6 not shared
  • Hugging Face
  • NVIDIA cuVS
  • LlamaIndex
  • TwelveLabs
  • Google Colab
  • HuggingFace
Independently observed

Zilliz Cloud

Leader
32 total - 30 not shared
  • AWS
  • Google Cloud
  • Azure
  • Fivetran
  • Google Ads
  • Google Analytics 4
  • Google Search Console
  • Google Sheets
  • Hubspot
  • LinkedIn Ad Analytics
  • Marketo
  • Microsoft Advertising
  • NetSuite SuiteAnalytics
  • Oracle Fusion Cloud Applications
  • Apache SeaTunnel
  • PostgreSQL/Pgvector
  • PyMilvus
  • Claude
  • Prometheus
  • HoneyHive
  • Cohere
  • Haystack
  • FiftyOne
  • DSPy
  • +6 more
Independently observed
Still deciding?

KDB.AI or Zilliz Cloud: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.