Machine Learning · head to head
Groq vs Weaviate

Groq
Machine Learning
Fast inference provider using proprietary LPU hardware for low-latency serving
- From
- On request
- Rated
- -
The short version
- Only Weaviate has a free tier, so it costs nothing to try first.
- Each has a real cost: Groq pricing is not published and is sold entirely by quote, making cost comparison difficult; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Groq and Weaviate actually diverge.
Identical on both: user rating (Not yet rated), category (Machine Learning).
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 Groq
Nothing recorded that Weaviate does not also cover.
Only in Weaviate
- Vector and keyword search
- Built-in vectorizers
- GraphQL API
- Multi-tenancy
- Hybrid search
- OpenAI
- Hugging Face
- Cohere
What people use each for
The jobs each tool is most often brought in to do.
Groq
- Latency-sensitive applications requiring sub-second inference response timesnot Weaviate
- High-volume inference workloads where cost per inference matters at scalenot Weaviate
- Custom model deployment with performance guaranteesnot Weaviate
- Enterprise applications seeking inference-specific infrastructurenot Weaviate
Weaviate
- Running a vector database for semantic and hybrid searchnot Groq
- Generating and storing embeddings alongside the objects they describenot Groq
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Groq
- Pricing is not published and is sold entirely by quote, making cost comparison difficult
- Limited to open-weight models; no proprietary model access through the platform
- Not widely integrated into third-party AI platforms compared to OpenAI or Anthropic
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
Groq
On requestNo published plan breakdown. See the Groq review.
Weaviate
Free- Open SourceFree
- Full features
- Self-hosted
- ServerlessFree
- Managed service
- Auto-scaling
Which should you pick?
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 Groq or Weaviate better?
- Neither clearly leads. Groq starts at On request and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Groq or Weaviate?
- Weaviate has a free tier; the other does not. Paid plans start at On request for Groq and Free for Weaviate.
- Does Groq or Weaviate run on more platforms?
- Groq runs on API, Cloud. Weaviate runs on Linux, Mac, Windows, Web.
- Can I use Weaviate for free?
- Yes. Weaviate has a free tier, so you can try it without paying. Groq starts at On request.
- What is Groq best used for?
- Groq is most often used for latency-sensitive applications requiring sub-second inference response times, high-volume inference workloads where cost per inference matters at scale, custom model deployment with performance guarantees, enterprise applications seeking inference-specific infrastructure. Of those, latency-sensitive applications requiring sub-second inference response times and high-volume inference workloads where cost per inference matters at scale are not what Weaviate is typically brought in for.
- What can Groq do that Weaviate cannot?
- Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy.
Answered from the vendors’ own pages
Groq: Is Groq free or paid?
Pricing details are not published on the main website. To explore Groq's service and pricing, visit their console at console.groq.com/home.
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.
SourceGroq: Does Groq offer a free tier or free credits?
Free tier availability is not documented on the public site. Check the Groq console for current free tier or trial options.
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.
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.
SourceRelated pages
Other head to heads
- Groq vs AWS SageMaker
- Groq vs Google Vertex AI
- Groq vs Azure Machine Learning
- Groq vs DataRobot
- Groq vs Mistral AI
- Groq vs Ollama
- Groq vs OpenRouter
- Groq vs Seldon
- Groq vs Keras
- Groq vs Fal AI
- Groq vs Snowflake
- Groq vs Dataiku
- Groq vs Cohere
- Groq vs Dask
- Groq vs Haystack
- Groq vs IBM SPSS
- Groq vs JMP
- Groq vs Milvus
- Groq vs Pinecone
- Groq vs Ray
- Groq vs Jupyter
- Groq vs Orange
- Groq vs Pachyderm
- Groq vs RapidMiner
- Groq vs Amazon Redshift ML
- Groq vs BigQuery ML
- Groq vs Semantic Kernel
- Weaviate vs AWS SageMaker
- Weaviate vs Google Vertex AI
- Weaviate vs Azure Machine Learning
- Weaviate vs DataRobot
- Weaviate vs Mistral AI
- Weaviate vs Ollama
- Weaviate vs OpenRouter
- Weaviate vs Seldon
- Weaviate vs Keras
- Weaviate vs Fal AI
- Weaviate vs Snowflake
- Weaviate vs Dataiku
- Weaviate vs Cohere
- Weaviate vs Dask
- Weaviate vs Haystack
- Weaviate vs IBM SPSS
- Weaviate vs JMP
- Weaviate vs Milvus
- Weaviate vs Pinecone
- Weaviate vs Ray
- Weaviate vs Jupyter
- Weaviate vs Orange
- Weaviate vs Pachyderm
- Weaviate vs RapidMiner
- Weaviate vs Amazon Redshift ML
- Weaviate vs BigQuery ML
- Weaviate vs Semantic Kernel

