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# Weaviate Pricing Overview

[Editedit](https://my.g2.com/weaviate/pricings)

## Weaviate Pricing Key Insights

Last updated on Jul 29, 2026

* * *

Weaviate offers **6 pricing editions** , starting at **$0**. Weaviate pricing tiers are designed to support different usage levels and team sizes. Weaviate does not offer a **free trial**. Higher-tier plans are available via direct consultation with the vendor. Compare the Weaviate pricing table below to figure out the best fit for your needs.

* * *

Self-Deployed (Open Source — $0

Free (Weaviate Cloud) — $0

Flex (Weaviate Cloud) — $45 / Per Month

Premium (Weaviate Cloud) — $400 / Per Month

Enterprise Cloud — Contact Us / Per Year

Bring Your Own Cloud (BYOC) — Contact Us / Per Year

Rated 4.5 / 5

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

Self-Deployed (Open Source

Free

Weaviate is an open-source vector database for building AI applications such as semantic search, retrieval-augmented generation (RAG), and AI agents. Self-host it on your own infrastructure, in Docker, or on Kubernetes under the BSD-3-Clause license, with full access to vector and hybrid search, built-in vectorization, and native multi-tenancy. Suited to developers and teams who want complete control over their deployment and data.

- Open source under the BSD-3-Clause license
- Vector, keyword (BM25), and hybrid search
- Built-in vectorization with 20+ embedding and LLM integrations
- Bring your own embedding or generative models
- Native multi-tenancy with tenant isolation
- RQ vector compression to reduce memory footprint
- Real-time data updates and flexible schema
- Deploy via Docker or Kubernetes
- REST, gRPC, and GraphQL APIs
- Python, Go, JavaScript/TypeScript, and Java clients
- Self-managed backups and replication
- Community support via Slack and the Weaviate forum

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Free (Weaviate Cloud)

Free

The Weaviate Cloud free tier is a fully managed vector database for exploring and prototyping AI applications. It requires no credit card and never expires, giving developers a persistent managed environment with vector and hybrid search, Query Agent, and Weaviate Embeddings built in.

- Fully managed - no infrastructure to run
- No credit card required, no expiration
- 100,000 objects
- 1 GB memory, 10 GB storage
- 1 collection, up to 3 tenants
- Cost-Optimized cluster profile
- Query Agent - 1,000 requests/month included
- Weaviate Embeddings - 2,000 requests/day included
- Vector and hybrid search
- One free cluster per user
- Community support (Slack + forum)

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Flex (Weaviate Cloud)

Starting at $45.00

Per Month

Flex is a pay-as-you-go, fully managed plan for teams building and scaling AI applications without a commitment. Billed monthly, it adds highly available clusters, role-based access control, and email support on top of the free tier, and lets teams choose between cost-optimized and performance-optimized configurations. This plan includes everything from the self-deployed Weaviate plus:

- Everything in Free (Weaviate Cloud)
- Pay-as-you-go, billed monthly, no commitment
- Scales with usage (objects, dimensions, storage)
- Choice of Cost-Optimized or Performance-Optimized cluster profiles
- Highly available (HA) clusters - optional
- Role-based access control (RBAC) with editor and viewer roles
- Multiple regions across AWS, Google Cloud, and Azure
- Query Agent and Weaviate Embeddings (usage-based beyond included limits)
- RQ vector compression
- Zero-downtime backups
- Regional status pages and monitoring
- Email support during business hours

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Premium (Weaviate Cloud)

Starting at $400.00

Per Month

Premium is a prepaid, fully managed plan for teams running AI in production that need enterprise-grade reliability and security. It offers a choice of shared or dedicated deployment, high availability across multiple zones, SLA options, and a technical account team, with predictable spend.

- Everything in Flex
- Prepaid contract with predictable spend
- Choice of shared or dedicated deployment
- High availability across multiple availability zones
- Up to 99.95% uptime, with tiered SLA options
- Dedicated resources tuned to your workload (dedicated deployments)
- VPC peering (dedicated deployments)
- Dedicated success manager / technical account team
- 24/7 support via email and phone
- Onboarding, training, and education
- Available on AWS, Azure, and Google Cloud
- Prioritized for business-critical workloads

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Enterprise Cloud

Contact Us

Per Year

Enterprise provides a fully managed vector database on dedicated resources with custom configuration, security, and scale for business-critical AI workloads.

- Everything in Premium
- dedicated resources
- pre-scoped dimensions
- custom security configuration
- high availability over multiple zones
- custom SLAs
- dedicated success manager

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Bring Your Own Cloud (BYOC)

Contact Us

Per Year

Bring Your Own Cloud runs a Weaviate-managed vector database inside your own cloud environment on AWS, Google Cloud, or Azure. Your data stays in your VPC while Weaviate manages the control plane, monitoring, and operations — combining the control of self-hosting with the convenience of a managed service.

- Runs in your own cloud VPC (AWS, Google Cloud, Azure)
- Customer-managed VPC, Weaviate-managed control plane
- Data never leaves your environment
- Weaviate agent for monitoring, support, and troubleshooting
- Codified, repeatable infrastructure deployments
- Container security and CIS compliance via audits and automation
- Enterprise SLAs and dedicated support
- SOC 2 Type II; HIPAA available

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Weaviate offers flexible vector database pricing to fit use cases from individual developers to enterprise-scale AI applications, available both self-hosted and as a fully managed cloud service.

Self-Deployed (Open Source) — Free: The open-source Weaviate vector database, self-hosted under the BSD-3-Clause license with vector and hybrid search, built-in vectorization, and native multi-tenancy. For developers who want full control over their deployment and data.

Free (Weaviate Cloud) — $0/month: A fully managed vector database with no credit card required and no expiration. Includes 100,000 objects, Query Agent, and Weaviate Embeddings. For prototyping and getting started.

Flex (Weaviate Cloud) — from $45/month: Pay-as-you-go managed plan with highly available clusters, role-based access control, and email support. For teams building and scaling without a commitment.

Premium (Weaviate Cloud) — from $400/month: Prepaid plan with shared or dedicated deployment, up to 99.95% uptime, SLA options, and 24/7 support. For production workloads.

Bring Your Own Cloud (BYOC) — Contact Sales: Weaviate manages the database inside your own AWS, Google Cloud, or Azure environment, so your data stays in your VPC.

Add-on services are priced separately: Query Agent (free tier of 1,000 requests/month; $30/organization includes 4,000 requests, then usage-based) and Weaviate Embeddings ($0.025–$0.065 per 1M tokens). Engram, Weaviate's agent-memory service, has its own pricing tiers.

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 July 01, 2026

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## Weaviate Pricing FAQs

Generated using AI

Is Weaviate free, or does it offer a free trial?

Yes. According to G2 data, Weaviate offers a free plan with limited features. Users can upgrade to paid plans for additional capabilities. Visit the seller's official pricing page to compare plan options and features.

How much does Weaviate cost in 2026?

According to G2 data, Weaviate pricing in 2026 starts at $45.00 and can reach $400.00 depending on the selected plan. Pricing may vary based on billing terms or usage, so users should review the Weaviate's official pricing page for the most current details.

Who is Weaviate pricing best suited for?

Weaviate's pricing is best suited for small businesses and individual developers, who represent the majority of G2 reviewers and consistently praise the free and Flex tiers for fast prototyping, RAG pipelines, and semantic search without infrastructure overhead. Computer software, information services, and consulting industries appear most frequently among G2 reviewers. The self-deployed open-source tier fits technically proficient developers wanting full control. Weaviate's Flex plan suits growing startups scaling AI applications without long-term commitment. Weaviate's Premium and Enterprise tiers target mid-market and enterprise teams in regulated industries like banking, healthcare, and financial services requiring SLAs, dedicated infrastructure, and HIPAA compliance.

What are the key differences between the free and paid versions of Weaviate?

Weaviate offers two free entry points: a self-deployed open-source option under BSD-3-Clause with no usage caps but full infrastructure responsibility, and a managed Weaviate Cloud free tier capped at 100,000 objects, 1 GB memory, 1 collection, and community-only support. Weaviate's paid Flex plan starts at $45/month and adds high availability, RBAC, multi-region deployment, and email support. Weaviate's Premium tier at $400/month introduces SLAs up to 99.95% uptime, dedicated resources, VPC peering, and 24/7 phone support. G2 reviewers note the free tier suits prototyping well, while production workloads requiring reliability and scale push teams toward paid tiers.

Is Weaviate considered good value for its pricing?

G2 reviewers broadly consider Weaviate good value, particularly for small businesses and developers building RAG pipelines and semantic search. Multiple G2 users highlight that Weaviate's pricing undercuts competitors — one reviewer explicitly notes it was more affordable than the next best alternative, making early-stage AI development feasible. High ratings dominate the review set, and recurring praise for support responsiveness, Python SDK quality, and hybrid search reinforces the value perception. Caveats exist: G2 reviewers flag that cloud pricing scales quickly with large datasets, and one mid-market reviewer notes pricing could be more economical. The open-source self-deployed option offsets cost concerns for technically capable teams.

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## Weaviate Alternatives Pricing

The following is a quick overview of editions offered by other [Vector Database Software](https://www.g2.com/categories/vector-database)

| Product | Price | Features |
| --- | --- | --- |
| ![Algolia](https://images.g2crowd.com/uploads/product/image/small_square/small_square_e8b7928d2e1cefffe2f9fb20febf2898/algolia.png)[Algolia](https://www.g2.com/products/algolia/reviews) Elevate | Contact Us | Grow further, get full AI offering Rules: 10,000/index 90 days analytics retention Professional Services Available SSO NeuralSearch (Keyword + Semantic Search) Full AI Suite (AI Ranking, AI Synonyms, AI Collections) Dynamic Re-ranking (Revenue & Relevance) Real-Time Personalization (Expanded) Full API & SDK Integration Fetch API Crawl Allowance: Try for free. Volume discounts available. Enhanced SLA Support Plans available as add-ons Foundation Plans available as add-ons Try Guides for free; Volume discounts Available [Show More](javascript:void(0);) |
| ![Elasticsearch](https://images.g2crowd.com/uploads/product/image/small_square/small_square_da633d2d1c1fd43e5e3cc46236965f55/elastic-elasticsearch.png)[Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews) Elastic Cloud Serverless | Pay As You GoPer Month | A fully automated, usage-based "Search AI" platform. Ideal for variable workloads where compute scales independently from storage, requiring zero capacity planning or infrastructure management. No-ops management: Elastic handles all upgrades and scaling Decoupled compute and storage scaling Specialized VCUs for Ingest, Search, and Machine Learning Managed LLM services for AI Playground and Assistant Rapid deployment of vector and hybrid search applications Search AI Lake for cost-efficient long-term data retention 99.95% Monthly Uptime SLA [Show More](javascript:void(0);) |
| ![SearchStax](https://images.g2crowd.com/uploads/product/image/small_square/small_square_ec9891e3cac6641f308f9c38bfd1b323/searchstax.png)[SearchStax](https://www.g2.com/products/searchstax/reviews) SearchStax Site Search - AI-Powered Website Search | Contact UsPer Year | SearchStax Site Search solution is engineered to give marketers the agility they need to optimize site search to drive business outcomes. Gain full visibility into search analytics and make real-time changes with a few clicks. Get full pricing details available at https://www.searchstax.com/pricing/site-search/ Smart Answers: generative AI summaries Site Search Analytics and Dashboard Search and Discovery Experience Self-Service Marketing and Business Tools Developer Tools, APIs, UI Kits and Integrations Crawler Support and SLA Site Search Optimizations AI-Powered Smart Match Assist AI-Powered Smart Ranking [Show More](javascript:void(0);) |

Various alternatives pricing & plans

Pricing information for the above various Weaviate alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.

## Weaviate Pricing Reviews
(2)

 ![Nanthakumar M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Nanthakumar M.")
NM

Nanthakumar M.

Information Technology Analyst

Mid-Market (51-1000 emp.)

6/23/2026

More Options
- 

"Weaviate Makes Semantic + Traditional Search Fast, Scalable, and Developer-Friendly"

4.5/5

What do you like best about Weaviate?

I like Weaviate's ability to combine semantic vector search with traditional search capabilities in a scalable, developer-friendly platform. It makes building AI and retrieval-augmented applications much faster and more effective. Review collected by and hosted on G2.com.

What do you dislike about Weaviate?

The main drawback is the initial learning curve. Understanding vector search concepts, embeddings, and configuration can take time for new users, although it becomes easier with experience. Review collected by and hosted on G2.com.

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

Weaviate solves the problem of finding relevant information in large amounts of unstructured data by using semantic search instead of relying only on exact keyword matches. This helps retrieve more accurate and context-aware results. For me, the benefit is faster access to relevant information, improved search quality, and the ability to build AI-powered applications such as knowledge bases, chatbots, and retrieval-augmented generation (RAG) systems more efficiently. Review collected by and hosted on G2.com.

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7/16/2026
Validated ReviewerIncentivizedSource: G2 invite

 ![Satvik K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Satvik K.")
SK

Satvik K.

Data Engineer

Small-Business (50 or fewer emp.)

9/29/2025

More Options
- 

"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.

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

Weaviate solves the challenge of building semantic and vector-based search at scale without requiring us to manage complex infrastructure. It allows us to unify structured data with embeddings, making it possible to deliver more accurate and context-aware search and recommendation systems. Review collected by and hosted on G2.com.

Show More

Validated ReviewerIncentivizedSource: G2 invite

Weaviate Comparisons

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##### Categories on G2

[
AI Search & Retrieval Infrastructure Platforms
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Vector Database
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