OpenSearch Pricing Calculator - Instance & Serverless Cost Estimator

OpenSearch pricing depends on your deployment model. Instance-based deployments charge per instance-hour plus EBS storage. For example, r6g.xlarge.search costs $0.335/hour in us-east-1, while c6g.large.search costs $0.113/hour. EBS GP2 storage costs $0.135/GB/month. Serverless collections charge per OpenSearch Compute Unit (OCU) at $0.248/OCU-hour for both indexing and search workloads.

OpenSearch Reserved Instances offer 31-52% savings compared to on-demand pricing with 1 or 3-year commitments. Payment options include No Upfront (lowest upfront, 31-48% savings), Partial Upfront (split between upfront and hourly, 33-50% savings), or All Upfront (highest savings at 35-52%). Reserved Instances are region-specific but can be used across Availability Zones. For production workloads with predictable usage, 3-year All Upfront RIs maximize cost savings.

Use Serverless for unpredictable workloads, development environments, or applications with variable traffic patterns. Serverless automatically scales OCUs based on demand and stores data in S3 at $0.024/GB/month, cheaper than EBS. Use instance-based deployments for production workloads with steady traffic where you can optimize instance sizing and leverage Reserved Instances for cost savings. See our Lambda pricing calculator for similar serverless vs provisioned cost comparisons.

Dedicated cluster manager nodes are recommended for domains with 10+ data nodes to improve cluster stability. They handle cluster management tasks separately from indexing and search, preventing resource contention during high load. Typical setup: 3x c6g.large.search cluster managers ($0.113/hour each) for production domains. For smaller deployments (<10 nodes), data nodes can handle cluster management without dedicated managers.

Multi-AZ with Standby provides high availability at no additional cost compared to traditional Multi-AZ deployments. It maintains a standby cluster in a separate Availability Zone for faster failover (typically under 60 seconds). This replaces the need for running 3 data copies across 3 AZs, making it more cost-efficient while improving resilience. Check our RDS pricing calculator for similar Multi-AZ cost comparisons.

Use GP3 for most production workloads - it offers better price-performance than GP2 with predictable baseline performance. GP2 works for dev/test environments at $0.135/GB/month. Choose PIOPS (io1/io2) only for I/O-intensive workloads requiring consistent IOPS above 16,000. Storage can be increased without downtime, so start conservative and scale as needed. Avoid over-provisioning storage to control costs.