Spreadsheets · head to head
Metabase vs Weaviate
The short version
- Each has a real cost: Metabase aI Service charges $3.75 per 1 million tokens (after 1M free tokens included); Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
- They diverge on capability: Metabase covers No-code Query Builder, Weaviate covers Vector and keyword search.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Metabase and Weaviate actually diverge.
Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Metabase
- No-code Query Builder
- SQL Editor
- Interactive Dashboards
- Alerts
- Embedding
- PostgreSQL
- MySQL
- MongoDB
Only in Weaviate
- Vector and keyword search
- Built-in vectorizers
- GraphQL API
- Multi-tenancy
- Hybrid search
- OpenAI
- Hugging Face
- Cohere
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Metabase
- Business intelligence and data exploration for non-technical usersnot Weaviate
- Embedded analytics for SaaS applicationsnot Weaviate
- Self-service reporting and dashboard creationnot Weaviate
- Integration with 40+ data sources including cloud warehousesnot Weaviate
Weaviate
- Running a vector database for semantic and hybrid searchnot Metabase
- Generating and storing embeddings alongside the objects they describenot Metabase
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Metabase
- AI Service charges $3.75 per 1 million tokens (after 1M free tokens included)
- Transforms cost $0.01 per run after 1,000 included runs per month
- Advanced Transforms cost $0.02 per run after included allocation
- Storage overages start at $2 per 1M rows (1M rows free)
- All yearly plans offer 10% discount versus monthly, incentivizing annual commitment
Weaviate
- The free tier caps at 100,000 objects, 1 GB of memory and a single collection
- Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
- Premium is a prepaid contract starting at $400 a month rather than pay as you go
- Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
- The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond
Pricing, plan by plan
Metabase
Free- Open SourceFree
- Unlimited users
- Unlimited questions and dashboards
- AI-powered query generation
- Starter$90/month
- Email and chat support
- $100/month standard monthly billing
- 20+ data connectors
- Pro$517.5/month
- $575/month standard monthly
- Row/column-level permissions
- SSO
- Enterprise$20000/year
- Dedicated success engineer
- 1-day support response SLA
- Air-gapped deployment
Weaviate
Free- Open SourceFree
- Full features
- Self-hosted
- ServerlessFree
- Managed service
- Auto-scaling
Which should you pick?
Choose Metabase if
- You need no-code query builder.
- You want to start without paying.
- You work on Web, Self-hosted cloud.
- You also want sql editor.
Choose Weaviate if
- You need vector and keyword search.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want built-in vectorizers.
Questions people ask
- Is Metabase or Weaviate better?
- Neither clearly leads. Metabase starts at Free and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Metabase or Weaviate?
- Metabase starts at Free and Weaviate at Free.
- Does Metabase or Weaviate run on more platforms?
- Metabase runs on Web, Self-hosted cloud. Weaviate runs on Linux, Mac, Windows, Web.
- Can I use Metabase for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Metabase best used for?
- Metabase is most often used for business intelligence and data exploration for non-technical users, embedded analytics for saas applications, self-service reporting and dashboard creation, integration with 40+ data sources including cloud warehouses. Of those, business intelligence and data exploration for non-technical users and embedded analytics for saas applications are not what Weaviate is typically brought in for.
- What can Metabase do that Weaviate cannot?
- Metabase covers No-code Query Builder, SQL Editor, Interactive Dashboards, Alerts. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy. Both handle Web support.
Answered from the vendors’ own pages
Metabase: How much does Metabase cost?
Metabase Open Source is free for self-hosted deployments with unlimited users and dashboards. Cloud-hosted Starter tier costs $90/month annually ($100/month monthly) with Pro at $517.50/month annually ($575/month monthly). Enterprise plans start at $20,000 per year.
SourceWeaviate: What pricing options does Weaviate offer?
Weaviate provides a free tier with usage-based pricing, plus enterprise options. Visit the pricing page for detailed information on plans.
SourceMetabase: Does Metabase charge for additional users?
Yes, Metabase charges per-user fees beyond included users. Starter includes 5 users at $6 per additional user per month. Pro includes 10 users at $12 per additional user per month. Enterprise pricing is custom.
SourceWeaviate: Does Weaviate offer customer support?
Yes, support is included with Weaviate's cloud offerings. Enterprise customers receive first-class support from their global team of experts.
SourceMetabase: What usage-based fees does Metabase charge?
Metabase charges $3.75 per 1 million tokens for AI services (after 1M free tokens), $0.01 per transform run after 1,000 included per month, $0.02 for advanced transforms, and storage overages at $2 per 1M rows beyond the included 1M rows.
SourceWeaviate: Can I deploy Weaviate on my own infrastructure?
Yes. Weaviate is open source and deployment-agnostic. You can run it in your own cloud environment or use their managed cloud service.
SourceWeaviate: What data security features does Weaviate provide?
Weaviate includes security & governance, RBAC, SOC 2 and HIPAA compliance, along with multi-tenancy and high availability for enterprise requirements.
SourceWeaviate: How do I get started with Weaviate?
Sign up for their cloud tier, create your first dataset, connect an LLM, and build your AI app. Documentation and quickstart guides are available for Python, Go, TypeScript, and JavaScript.
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- Weaviate vs Azure Machine Learning
- Weaviate vs DataRobot
- Weaviate vs Milvus
- Weaviate vs Pinecone
- Weaviate vs Ray
- Weaviate vs Jupyter
- Weaviate vs Cohere
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- Weaviate vs OpenRouter
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- Weaviate vs RapidMiner
- Weaviate vs Amazon Redshift ML
- Weaviate vs BigQuery ML
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