Vald pricing guide details
Pricing Overview
Vald is a fully open-source distributed vector search engine released under the Apache 2.0 license. There are no paid tiers, no managed service offerings, and no per-query or per-vector charges from the Vald project itself. The entire cost of running Vald comes from the underlying infrastructure required to host it.
Because Vald is designed exclusively for Kubernetes deployments, your spending maps directly to the compute, memory, and storage resources you provision in your cluster. A small development cluster on AWS EKS or GCP GKE might cost $150 to $300 per month, while a production deployment handling billions of vectors can scale into thousands of dollars monthly depending on node count and instance types. There is no license fee, no seat-based pricing, and no feature gating. Every capability, including distributed indexing, index replication, auto-backup, and custom ingress/egress filtering, ships in the open-source release at $0.
Plan Comparison
Since Vald has no commercial plans, the comparison below frames Vald's self-hosted model against the managed vector database alternatives that charge recurring fees.
| Dimension | Vald (Self-Hosted) | Managed Vector DBs (Pinecone, Weaviate Cloud, Qdrant Cloud) |
|---|---|---|
| License cost | $0 (Apache 2.0) | $0 free tiers available, paid tiers from $45/mo+ |
| Compute | You pay your cloud provider directly | Bundled into vendor pricing |
| Scaling model | Horizontal scaling on Kubernetes, you control node count | Vendor-managed autoscaling, billed per usage or pod |
| Ops responsibility | Full ownership: upgrades, monitoring, failover | Vendor handles infrastructure operations |
| Data residency | You choose region and provider | Limited to vendor-supported regions |
| Feature access | All features included at $0 | Advanced features often locked behind premium tiers ($400/mo+ for Weaviate Premium) |
| Egress fees | Standard cloud provider rates | Varies by vendor, sometimes included |
The self-hosted model gives you complete control over cost optimization. You can right-size instances, use reserved or spot pricing, and avoid vendor markup. The trade-off is operational complexity: you manage Kubernetes, handle upgrades, and build your own monitoring stack.
Hidden Costs and Considerations
Running Vald in production on Kubernetes introduces costs that extend beyond the license fee:
- Kubernetes cluster management: EKS costs $0.10/hour ($73/mo) per cluster on AWS; GKE charges $0.10/hour for standard clusters
- Persistent storage: EBS gp3 volumes run $0.08/GB/month; backup storage to S3 adds $0.023/GB/month
- Compute nodes: Vald agents are memory-intensive; expect r6i.xlarge ($0.252/hour) or equivalent instances
- Engineering time: Kubernetes expertise, Helm chart configuration, and ongoing maintenance require dedicated DevOps resources
Cost Estimates by Team Size
These estimates reflect typical Kubernetes infrastructure costs for running Vald at different scales.
| Team Size | Use Case | Cluster Setup | Estimated Monthly Cost |
|---|---|---|---|
| Small (2-5 engineers) | Development and prototyping, under 1M vectors | 3-node cluster, t3.large instances | $150 - $300/mo |
| Mid-size (10-30 engineers) | Production workload, 10M-100M vectors | 5-8 node cluster, r6i.xlarge instances | Your cloud provider's rate for those instances |
| Enterprise (50+ engineers) | Billions of vectors, high availability, multi-region | 15+ nodes, r6i.2xlarge+, cross-region replication | Your cloud provider's rate for those instances |
These figures cover compute, storage, and cluster management fees but exclude engineering labor for Kubernetes operations. Spot instances and reserved pricing can reduce compute costs by 40-60%.
How Vald Pricing Compares
Vald's $0 license cost creates a clear cost advantage at scale, but managed alternatives offer lower operational overhead for smaller teams.
| Vector Database | Pricing Model | Starting Price | Self-Hosted Option | Notes |
|---|---|---|---|---|
| Vald | Open Source (Apache 2.0) | $0 (infra only) | Yes (Kubernetes required) | All features free, no managed service |
| Pinecone | Usage-Based | $0 free tier | No | Serverless from $0.055/1M dimensions stored |
| Qdrant | Freemium | $0 free tier, cloud from $1/mo | Yes (open source) | Free tier available, cloud pricing starts low |
| Weaviate | Freemium | $45/mo (Flex plan) | Yes (open source) | Free 14-day sandbox, Premium at $400/mo |
| Milvus | Open Source | $0 (infra only) | Yes (Kubernetes or standalone) | Zilliz Cloud managed option available |
For teams already running Kubernetes and managing infrastructure at scale, Vald eliminates the recurring vendor fees that managed databases charge. A team processing billions of vectors on Pinecone or Weaviate Premium at $400/mo or more can cut costs substantially by self-hosting Vald, assuming they have the DevOps capacity. For smaller teams or those without Kubernetes expertise, the $45/mo starting cost of Weaviate Flex or Qdrant Cloud's free tier delivers faster time-to-value with zero operational burden.