Software · head to head
Weaviate vs Groq
Groq
Software
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: Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection; Groq pricing is not published and is sold entirely by quote, making cost comparison difficult
Where they differ
Only the attributes on which Weaviate and Groq actually diverge.
Identical on both: user rating (Not yet rated), category (Unknown).
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 Weaviate
- Vector and keyword search
- Built-in vectorizers
- GraphQL API
- Multi-tenancy
- Hybrid search
- OpenAI
- Hugging Face
- Cohere
Only in Groq
Nothing recorded that Weaviate does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Weaviate
- Running a vector database for semantic and hybrid searchnot Groq
- Generating and storing embeddings alongside the objects they describenot Groq
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
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Pricing, plan by plan
Weaviate
Free- Open SourceFree
- Full features
- Self-hosted
- ServerlessFree
- Managed service
- Auto-scaling
Groq
On requestNo published plan breakdown. See the Groq review.
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 Weaviate or Groq better?
- Neither clearly leads. Weaviate starts at Free and Groq at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Weaviate or Groq?
- Weaviate has a free tier; the other does not. Paid plans start at Free for Weaviate and On request for Groq.
- Does Weaviate or Groq run on more platforms?
- Weaviate runs on Linux, Mac, Windows, Web. Groq runs on API, Cloud.
- 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 Weaviate best used for?
- Weaviate is most often used for running a vector database for semantic and hybrid search, generating and storing embeddings alongside the objects they describe. Of those, running a vector database for semantic and hybrid search and generating and storing embeddings alongside the objects they describe are not what Groq is typically brought in for.
- What can Weaviate do that Groq cannot?
- Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy.