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.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
KDB.AI42
Zilliz Cloud80
Score
Vioscale score
KDB.AI42 / 100low · 24%
Zilliz Cloud80 / 100medium · 73%
Pricing
Free tier
KDB.AI
Zilliz Cloud
Model
Zilliz Cloudfreemium
Price level
KDB.AIlow
Zilliz Cloudfree
Transparent
KDB.AI
Zilliz Cloud
Integrations
Count
KDB.AI2
Zilliz Cloud4
Security
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
Reliability
Sla pct
KDB.AI
Zilliz Cloud99.95
Status page
KDB.AI
Zilliz Cloud

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.AI-
Zilliz Cloud-
Distance metrics (cosine / dot / Euclidean)
KDB.AI-
Zilliz Cloud-
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.AI-
Zilliz Cloud-
On-disk vs in-memory
KDB.AI-
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

A vector database for contextual and time series search that enables building AI apps, finding patterns in data, and mixing structured with unstructured data.

Independently observed

Zilliz Cloud

Leader

Fully managed Vector Lakebase services designed for high reliability, performance, and cost efficiency at scale. Purpose-built for real-time serving, iterative discovery, and batch analytics at billion-scale.

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 $0/moSubscriptionFree tier30-day trial

Free tier available. Paid plans start from $197/month (Enterprise Dedicated) or usage-based pricing ($126/GB for Standard Dedicated).

  • FreeFree
    • Vector search
    • Up to 5 collections
  • StandardFrom $0/month (Serverless) or from $126/GB/month (Dedicated)
    • Fully managed vector databases with core APIs
    • Backup and restore
    • Basic monitoring
    • Data encryption in transit and at rest
  • EnterpriseFrom $197/month (Dedicated)
    • 99.95% uptime SLA
    • Audit logs
    • SSO (SAML 2.0)
    • Granular RBAC
    • Multi-replica and elastic scaling
    • +1 more
  • Business CriticalContact sales
    • Global cluster with high-level availability
    • Disaster recovery
    • CMEK and full-path in-transit encryption
    • HIPAA-eligible
    • Rapid incident response
  • BYOCContact sales
    • Deploy on your infrastructure of choice
    • High-level control and security
    • Same features and experience as SaaS Dedicated clusters
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
Deployment
Cloud / SaaS
KDB.AI
Zilliz Cloud
Self-hosted
KDB.AI
Zilliz Cloud

Integrations

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

KDB.AI

2 total
  • Hugging Face
  • NVIDIA cuVS
Independently observed

Zilliz Cloud

Leader
4 total
  • AWS
  • Google Cloud
  • Azure
  • LangChain
Independently observed

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