Weaviate Pricing Overview

Free Trial

Self-Deployed

Free

Weaviate is an open-source vector database that simplifies the development of AI applications. Built-in vector and hybrid search, easy-to-connect machine learning models, and a focus on data privacy enable developers of all levels to build, iterate, and scale AI capabilities faster.

Open-source, developer-friendly AI platform

Connect with 20+ ML model integrations

Combine vector and keyword searches seamlessly

Flexible deployment: self-hosted, managed, or Kubernetes

Hybrid search merges algorithms, re-ranks results

Advanced filters handle datasets in milliseconds

Use proprietary data for secure RAG interactions

Generate vectors or use custom embeddings

Zero-downtime backups for frequent data protection

Native multi-tenancy scales resources efficiently

Compress vector indexes for smaller memory usage

Tenant isolation ensures strict resource security

Serverless Cloud

Starting at $25.00

Per Month

The easiest way to get started with Weaviate. All the power of our AI-native vector database, as a fully-managed SaaS offering. Best for nimble teams at all stages of building. This plan includes everything from the self-deployed Weaviate plus:

Get started with a free 14-day trial in minutes

Choose from 5 cloud regions

Link your external Weaviate clusters

Product Quantization (PQ) and Binary Quantization (BQ) optional

Built-in API key-based authentication

GUI for GraphQL queries

Collections definition and management

Weaviate Embeddings available starting at $0.04/M tokens

Monitoring -– access to regional status pages

Email support during business hours

Multiple availability zones

High availability (optional)

Various SLA tiers to meet your needs

Pay-as-you-go

Scales with your use case

Enterprise Cloud

Per Year

Tailored for businesses seeking high performance, Weaviate’s Enterprise Cloud solution provides a fully managed vector database on dedicated resources, ensuring consistent, high-speed results without the complexities of self-management. This plan includes everything from the Serverless Cloud tier plus:

Enterprise-ready setup

Pre-scoped dimensions simplify database setup

Optimized resources tailored to use cases

Additional configuration / security configuration

High availability over multiple availability zones

VPC peering functionality available

Configuration of both regions and zones

Dedicated success manager for project guidance

24/7 support via email and phone

Training & education for teams of all levels

Recommended for business-critical workloads

Available on AWS, Azure, GCP

Bring Your Own Cloud

Per Year

Weaviate hosts and manages our database within your existing cloud environment, leveraging your cloud's native services. Our BYOC vector database solution integrates seamlessly with AWS, GCP, and Azure, ensuring optimized performance and security.

Weaviate's pricing model is designed to meet diverse use cases, from individual developers to enterprise-scale applications. Flexible and transparent options empower users to build, scale, and deploy AI-powered solutions efficiently.

• Self-Deployed (Free & Open Source): Ideal for developers seeking flexibility and control.

• Serverless Cloud (Starting at $25 per 1M vector dimensions/month): All the power of our AI-native vector database, as a fully-managed SaaS offering. Best for building, prototyping, and seamless scaling with flexible pay-as-you-go pricing. Includes a free 14-day trial.

• Enterprise Cloud (Contact Sales): Tailored for large-scale production deployments, offering fully managed dedicated resources and enterprise-grade support.

• Bring Your Own Cloud (BYOC) (Contact Sales): Weaviate manages your database within your existing cloud environment, seamlessly integrating with AWS, GCP, or Azure to leverage native services for optimal performance and security.

Weaviate is available on leading cloud marketplaces, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).

Weaviate has 4 pricing editions. A free trial of Weaviate is also available. Look at different pricing editions below and see what edition and features meet your budget and needs.

Pricing information for Weaviate is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase Weaviate must be conducted with the seller.

Learn more about Weaviate's pricing at Weaviate.io/pricing

Pricing information was last updated on January 29, 2025

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Weaviate Pricing Reviews

(2)

Carlos F.

ハッカー

Small-Business (50 or fewer emp.)

6/10/2025

"Outstanding RAG and support for customer & community"

5/5

What do you like best about Weaviate?

Weaviate stores the data objects as vectors in multidimensional space, so you can search and find relationships between the data based on semantic meaning, resulting in great and stable accuracy.

Their customer support is impeccable, and there's a great community environment too in Slack. Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

Could focus more on AI docs for direct API access. Review collected by and hosted on G2.com.

What problems is Weaviate solving and how is that benefiting you?

Weaviate is creating embeddings, storing them in a vector DB and retrieving them when performing a semantic search for generative augmentation, together as self-contained RAG in Weaviate.

I've also used their transformation agent and I was impressed about the quality of the answers, even though I made some mistakes in the setup at the time.

I subscribe to their cloud instance so that I don't have to deal with user data on my servers, and a great deal of RAG infra moving parts in general. It has reduced cost at scale, and it's easy to provision and configure. Review collected by and hosted on G2.com.

Satvik K.

Data Engineer

Small-Business (50 or fewer emp.)

9/29/2025

"Fast, flexible, and developer-friendly vector database."

4/5

What do you like best about Weaviate?

Weaviate makes it incredibly easy to implement semantic search and generative AI applications. The integration with Python and REST APIs is smooth, and the support for hybrid search (vector + keyword) is powerful for real-world use cases. Its modular design and integrations with tools like OpenAI, Cohere, and Hugging Face let you plug in embeddings quickly. The documentation is clear, and the community is active and responsive, which shortens the learning curve. Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

The cloud pricing can scale up quickly if you’re handling large datasets, and the learning curve for more advanced features (like sharding or schema design) can be a bit steep for beginners. Some SDKs lag slightly behind the core feature set, so you occasionally need to rely on REST calls. More built-in visualization or monitoring features would make it easier to track cluster performance without third-party tools. Review collected by and hosted on G2.com.