BigQuery logo

BigQuery

Serverless data warehouse at any scale

vs
Weaviate logo

Weaviate

The AI-native vector database

BigQuery vs Weaviate: Full Comparison (2026)

Pricing, features, scores, and a clear verdict on which one is right for you.

The bottom line

BigQuery positions itself as "serverless data warehouse at any scale" while Weaviate goes after "the ai-native vector database" — so the right pick depends on which problem you're actually solving. They take different commercial approaches — BigQuery uses a usage-based-based model and Weaviate a freemium approach, which affects how costs scale as your team grows. BigQuery (founded 2010) has had more time to build out its ecosystem and integrations, while Weaviate (2019) tends to move faster on modern UX and newer workflows.

At a glance

BigQueryWeaviate
Our score86/10083/100
Starting priceFreeFree
Free tierYesYes
Best forServerless data warehouse at any scaleThe AI-native vector database

Pricing comparison

BigQuery logo

BigQuery

Free tier available
On-demandFree
Capacity$null/mo

Pricing verified 2026-04-16

Weaviate logo

Weaviate

Free tier available
SandboxFree
Starter$25/mo

Pricing verified 2026-04-16

Calculate your cost

10,000
1001,000,000
BigQuery logo
BigQueryUnknown
Contact sales
Weaviate logo
WeaviateUnknown
Contact sales

Feature comparison

core

FeatureBigQueryWeaviate
Columnar storageYesNo
ServerlessYesNo
ML functionsYesNo
GIS analyticsYesNo
Federated queriesYesNo
Vector searchNoYes
Hybrid searchNoYes
Multi-modalNoYes
GraphQL APINoYes
REST APINoYes

advanced

FeatureBigQueryWeaviate
BigQuery MLYesNo
Omni (multi-cloud)YesNo
Data sharingYesNo
Row-level securityYesNo
BI EngineYesNo
Generative searchNoYes
HNSW indexingNoYes
BM25 text searchNoYes
Module systemNoYes
Multi-tenancyNoYes

integrations

FeatureBigQueryWeaviate
LookerYesNo
dbtYesNo
FivetranYesNo
DataflowYesNo
Vertex AIYesNo
OpenAINoYes
CohereNoYes
Hugging FaceNoYes
LangChainNoYes
LlamaIndexNoYes

Ratings breakdown

BigQuery

Ease of use
8/10
Value for money
9/10
Features
9/10
Support
8/10

Weaviate

Ease of use
7/10
Value for money
8/10
Features
9/10
Support
8/10

What the data tells us

Key capabilities you'd miss

Choosing BigQuery means going without Vector search, Hybrid search, Multi-modal (which Weaviate offers). Choosing Weaviate means losing Columnar storage, Serverless, ML functions. These are the features that typically drive the final decision — check whether your workflow depends on any of them before committing.

What company size tells you

Weaviate (51-200 employees) has the engineering bench to ship features across many fronts but may iterate slower on individual requests. BigQuery (10000+ employees) typically ships faster on its core product but may lag on peripheral features. Consider which matters more for your roadmap.

Choose BigQuery if...

  • You want a free tier to get started
  • You value an intuitive, easy-to-use interface
  • Getting strong value for money is a priority
Try BigQuery free

Choose Weaviate if...

  • You want a free tier to get started
  • You value powerful features over simplicity
  • Getting strong value for money is a priority
Try Weaviate free

Frequently asked questions

Is BigQuery or Weaviate better?

BigQuery scores 86/100 compared to Weaviate's 83/100 on VendorVS. However, the best choice depends on your needs — BigQuery excels at ease of use (8/10) while Weaviate scores 7/10.

How much does BigQuery cost compared to Weaviate?

BigQuery starts at free (free tier available). Weaviate starts at free (free tier available). BigQuery is the more affordable option.

Does BigQuery or Weaviate have a free plan?

Yes, both BigQuery and Weaviate offer free tiers, so you can try each before committing to a paid plan.

Disclosure: Some links on this page are affiliate links. If you sign up through our links, we may earn a commission at no extra cost to you. This does not influence our rankings or recommendations.

Related comparisons

See how BigQuery and Weaviate compare to other analytics & data tools.

View all Analytics & Data comparisons →