Deep Lake 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.
Capabilities
Feature-by-feature on the axes that matter for vector databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Deep Lake
A platform for storing and indexing diverse data types to enable searching and retrieval in AI-driven applications, with comprehensive data type support and indexing capabilities.
Zilliz Cloud
LeaderZilliz 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.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Deep Lake
From $99/seat/month (Team) or pay-as-you-go Basic with $15 credit. 7-day free trial available.
- BasicFree
- Pay as you go compute
- Daily backups with 1-day retention
- SSO (Google/Microsoft)
- MFA
- 1 business day support
- Team$99/seat/month, 7-day free trial
- 1M traces/month per seat
- 10M queries/month per seat
- Daily backups with 1-day retention
- SSO (Google/Microsoft)
- MFA
- +2 more
- EnterpriseContact sales
Zilliz Cloud
LeaderFree 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
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- LangChain
Deep Lake
- LlamaIndex
- Weights & Biases
- PostgreSQL
Zilliz Cloud
Leader- 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
- +7 more
Deep Lake 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.