Weaviatevs
AWS SageMaker
AWS SageMaker: Build, train, and deploy machine learning models at scale
Weaviate
Open-source vector database
As of 30 August 2026, Weaviate is free to use. Weaviate is an open-source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering. Softwr lists it under Machine Learning. Weaviate is launched in 2019, available on Linux, macOS, Windows, Web.
Overview
What Weaviate does
Weaviate is an open-source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering. It supports various ML models for vectorization and provides GraphQL and REST APIs for querying.
What people use it for
- Running a vector database for semantic and hybrid search
- Generating and storing embeddings alongside the objects they describe
Related searches
The honest half
Where it falls short
Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about 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
Cross-shopped
What people choose instead of Weaviate
Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.
- WeaviatevsGoogle Vertex AI
Google Vertex AI: Unified ML platform to build, deploy, and scale AI models
- WeaviatevsAzure Machine Learning
Azure Machine Learning: Enterprise-grade machine learning service
- WeaviatevsDataRobot
DataRobot: Enterprise AI platform for automated machine learning
Pricing
What Weaviate costs
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Open Source
Free
- Full features
- Self-hosted
Serverless
Free
- Managed service
- Auto-scaling
Capabilities
Features
Vector and keyword search
Built-in vectorizers
GraphQL API
Multi-tenancy
Hybrid search
OpenAI
Integration with OpenAI
Hugging Face
Integration with Hugging Face
Cohere
Integration with Cohere
LangChain
Integration with LangChain
LlamaIndex
Integration with LlamaIndex
Linux support
Available on linux
Mac support
Available on mac
Answered, with sources
Questions people ask
Each answer names the page it came from, so you can check it rather than take our word for it.
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.
SourceDoes 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.
SourceCan 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.
SourceWhat 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.
SourceHow 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.
SourceBehind it
Who makes Weaviate
- Company
- Weaviate
- Based in
- Amsterdam, Netherlands
Keep looking
Where to go from Weaviate
- Weaviate alternativesEvery product people weigh against it
- Weaviate pricingPlans, floors and what the tiers exclude
- Weaviate badgesWhich rules it meets, and the figure behind each
- All Machine Learning softwareThe full category
- Best Machine Learning softwareThe shortlist, and how it was cut
Best Machine Learning software for
Compare Weaviate with
- AWS SageMaker
- Google Vertex AI
- Azure Machine Learning
- DataRobot
- Milvus
- Pinecone
- Ray
- Jupyter
- Cohere
- Ollama
- OpenRouter
- Orange
- Pachyderm
- RapidMiner
- Amazon Redshift ML
- BigQuery ML
- Semantic Kernel
- Ray
Other Machine Learning software
Build, train, and deploy machine learning models at scale
Free, then $0.04/hour9 researched notesMicrosoft's managed platform for training, tracking and deploying models on Azure
Free plan13 researched notesUnified API gateway routing requests across 500+ models from 80+ providers
Free plan11 researched notesData versioning and container pipelines that run on your Kubernetes cluster
Free plan14 researched notesVisual workflow data science platform, now sold by Altair as AI Studio
Free plan14 researched notesSQL statements in Redshift that train models on SageMaker and return them as functions
Free plan14 researched notes
Softwr does not host reviews and shows no star rating for Weaviate, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.
More on Weaviate
Weaviate alternatives
What people switch to, and what they give up
Weaviate pricing
Every tier, and where the cost actually lands
Compare Weaviate
Put it head to head with anything we hold
Weaviate badge
Its rating, and an embed for your own site
Best Machine Learning software alternatives
Open-source MLOps platform for experiment tracking and orchestration
Open-source self-hosted, with paid hosted and enterprise tiers
LLM engineering platform for testing and evaluating AI agents in production
Tiered subscription with usage-based overage charges
Open-source AI orchestration framework for LLM applications
Open-source with optional paid enterprise support
The world's most popular data science platform
