Weaviate Pricing: Cloud & Open Source Costs Explained (2026)

Pricing overview

Weaviate provides two primary deployment options, each with distinct pricing considerations: Weaviate Cloud and Weaviate Open Source. Weaviate Cloud is a managed service, handling infrastructure, maintenance, and scaling, with pricing structured around usage metrics like the number of stored objects and data volume. In contrast, Weaviate Open Source is free to download and deploy, incurring only the underlying infrastructure costs chosen by the user, such as cloud computing instances or on-premises hardware. This dual approach allows users to select a model that aligns with their operational preferences and budget constraints, from fully managed solutions to completely self-controlled deployments.

The managed Weaviate Cloud service simplifies deployment and operation, abstracting away the complexities of running a vector database. This includes automatic scaling, backups, and security updates. The cost for Weaviate Cloud is generally predictable per tier, though exceeding tier limits can lead to overage charges or require an upgrade. For organizations prioritizing operational simplicity and reduced management overhead, Weaviate Cloud aims to provide a comprehensive solution. Detailed pricing information for managed services is available on the official Weaviate pricing page.

For those opting for Weaviate Open Source, the cost model shifts entirely to infrastructure. Users are responsible for procuring and managing their own computing resources, which could involve services from cloud providers like AWS cloud compute pricing, Google Cloud, or Microsoft Azure, or maintaining physical servers. This option offers maximum control over data sovereignty, security, and customization, but requires internal expertise for deployment, maintenance, and scaling. The total cost of ownership for the open-source version thus depends heavily on the chosen infrastructure and the operational resources allocated to its management.

Plans and tiers

Weaviate Cloud offers structured plans designed to accommodate varying project sizes and operational requirements. These plans are primarily differentiated by the number of vector objects stored, the total data storage capacity, and included support levels. Higher-tier plans typically provide increased capacities and enhanced support features, such as faster response times and dedicated technical account managers.

Weaviate Cloud Plans

The following table outlines the key characteristics of Weaviate Cloud's published plans, based on information from the official Weaviate pricing page:

The Sandbox plan serves as an entry point for evaluation and small-scale development, providing access to core features without financial commitment. This plan is resource-constrained, making it suitable for proof-of-concept work rather than production deployments.

The Launch plan is the first paid tier, offering significant increases in capacity for objects, storage, and API requests. This plan is aimed at developers and small organizations moving beyond initial testing into production environments, where a managed service can reduce operational overhead.

For organizations with larger data volumes and more complex requirements, the Growth and Enterprise plans offer custom solutions. These plans involve direct engagement with Weaviate to tailor resources, support, and security features to specific needs. Enterprise plans typically include features like dedicated infrastructure, advanced security controls, and bespoke service level agreements (SLAs), essential for large-scale, mission-critical deployments.

Free tier and limits

Weaviate offers a free tier through its Sandbox plan, which is designed to enable developers to experiment with the vector database without incurring costs. This plan is available through Weaviate Cloud and provides a managed environment for learning and initial development. The Sandbox plan includes specific limitations on resource usage to ensure fair access and manage operational capacity.

Key limits of the Weaviate Sandbox free tier include:

• Projects: Limited to 1 project.
• Objects: Up to 100,000 vector objects.
• Storage: Up to 2 GB of data storage.
• API Requests: Up to 1 million API requests per month.
• Support: Community support available.

These limits make the Sandbox plan suitable for:

• Evaluating Weaviate's features and performance.
• Developing proof-of-concept applications.
• Learning to integrate Weaviate with other services, such as large language models (LLMs).
• Personal projects with modest data requirements.

While the Sandbox plan is robust for initial exploration, it is not intended for production workloads due to its resource constraints. Projects requiring higher object counts, more storage, or guaranteed performance will necessitate upgrading to a paid Weaviate Cloud plan or deploying the open-source version on self-managed infrastructure. The official Weaviate pricing documentation provides the most current details on free tier limitations.

Real-world cost examples

Understanding Weaviate's pricing involves considering both the managed cloud service and the self-hosted open-source option. Real-world costs can vary significantly based on data volume, query patterns, and chosen infrastructure.

Scenario 1: Small application with managed Weaviate Cloud

• Use Case: A startup building a semantic search feature for an e-commerce platform with approximately 3 million product listings.
• Weaviate Plan: Launch Plan.
• Data Volume: 3 million objects (vectors), 300GB storage.
• Monthly API Requests: Estimated 20 million search queries.
• Cost: The Launch plan provides 5 million objects and 500GB storage for $75/month, and 50 million requests. This scenario fits well within the Launch plan's limits.
• Total Estimated Monthly Cost: $75.
• Considerations: If the number of objects or storage grows beyond the Launch plan's limits, an upgrade to the Growth plan or incurring overage charges would be necessary.

Scenario 2: Medium application with managed Weaviate Cloud

• Use Case: A content recommendation engine for a media company with 15 million articles and user interaction vectors.
• Weaviate Plan: Growth Tier (custom).
• Data Volume: 15 million objects, 1.5TB storage.
• Monthly API Requests: Estimated 100 million search/recommendation queries.
• Cost: This scenario exceeds the Launch plan's limits for objects and storage, requiring a custom Growth plan. Specific pricing would be negotiated directly with Weaviate. As an estimate, based on published tier increases, this could range from several hundred to over a thousand dollars per month depending on exact resource allocation and support needs.
• Total Estimated Monthly Cost: Custom, potentially $500 - $2,000+.
• Considerations: This plan would likely include enhanced support and potentially custom scaling options.

Scenario 3: Large application with self-hosted Weaviate Open Source

• Use Case: An enterprise-level internal document search spanning hundreds of millions of documents, requiring strict data sovereignty and custom infrastructure.
• Weaviate Version: Weaviate Open Source deployed on Google Cloud Compute Engine.
• Infrastructure: Multiple high-CPU compute instances (e.g., 8-16 vCPUs, 64GB RAM each) for vector indexing and querying, along with high-performance SSD persistent disk storage (e.g., 20TB).
• Monthly Infrastructure Cost: Cost will vary based on instance types, region, and storage performance. For example, two n2-standard-16 instances could cost approximately $1,100/month, plus storage at roughly $340/month for 20TB standard persistent disk (Google Cloud pricing for persistent disks). Networking egress and monitoring tools would add to this.
• Operational Cost: Significant internal resources required for deployment, monitoring, scaling, security, and maintenance. This would include engineering salaries and potential third-party tools.
• Total Estimated Monthly Cost: $1,500+ for infrastructure, plus substantial operational overhead.
• Considerations: This option provides maximum control and flexibility but demands significant internal expertise and ongoing management.

How the pricing compares

Weaviate's pricing strategy, particularly its dual offering of a managed cloud service and a fully open-source option, positions it distinctly within the vector database landscape. When comparing Weaviate to alternatives like Pinecone, Qdrant, and Milvus, several factors come into play, primarily related to managed service convenience versus self-hosting flexibility and cost control.

Weaviate vs. Pinecone

Pinecone is primarily a managed vector database service, meaning its pricing model is entirely cloud-based, typically charging based on pods (processing units), dimensions, and storage. Pinecone generally offers a free starter tier, but its paid tiers can scale quickly with increased usage. Weaviate Cloud's tiered pricing (Launch, Growth, Enterprise) is often based on object count and storage. A key differentiator is Weaviate's robust open-source offering, which allows for complete cost control over infrastructure by self-hosting, a fundamental option not available with Pinecone. For users prioritizing a fully managed experience without self-hosting considerations, Pinecone might offer a streamlined, albeit potentially less flexible, pricing path. However, for those keen on open source with the option of managed, Weaviate provides more choice.

Weaviate vs. Qdrant

Qdrant, like Weaviate, offers both a managed cloud service (Qdrant Cloud) and an open-source version. Qdrant Cloud's pricing is structured around clusters, storage, and API calls, similar in concept to Weaviate Cloud's object/storage-based tiers. Both provide a free tier for development. The open-source versions of Qdrant and Weaviate present similar cost benefits: users only pay for their underlying infrastructure. The choice between Weaviate and Qdrant in a self-hosted scenario often comes down to specific feature sets, preferred client libraries, and community support rather than a fundamental pricing model difference. In managed service, specifics in tier limits and overage charges would dictate the more cost-effective option for a given workload. Qdrant's pricing details can be found on the Qdrant pricing page.

Weaviate vs. Milvus

Milvus is another prominent open-source vector database, with a strong community and enterprise support options through Zilliz Cloud (its managed offering). Like Weaviate Open Source, using Milvus open source only incurs infrastructure costs. Zilliz Cloud's pricing typically involves concepts like vector units and storage. Weaviate's managed cloud service, with its tiered object and storage-based pricing, provides a direct comparison to Zilliz Cloud. Milvus's architecture, particularly its reliance on external components like object storage (e.g., MinIO or S3) and message brokers (e.g., Kafka or Pulsar), can introduce additional infrastructure complexity and related costs for self-hosters compared to Weaviate's more integrated setup. However, this modularity can also offer flexibility for large-scale deployments. For users prioritizing an open-source foundation with strong ecosystem integration, both Weaviate and Milvus offer compelling value, with the ultimate cost depending on specific deployment and operational choices. The Milvus pricing documentation provides more detail.

Overall, Weaviate's hybrid strategy of offering both a managed cloud solution and a performant open-source database provides extensive flexibility. This allows users to start free, scale through managed tiers, or completely control costs by self-hosting, making it competitive across various operational and budgetary requirements.