How do I choose between SSD and HDD storage for Bigtable?

SSD storage provides consistent single-digit millisecond latency for both reads and writes, making it ideal for serving real-time applications. HDD storage costs approximately 80% less per GB but has higher read latency (around 200ms) and is suited for large-scale batch analytics or archival workloads where latency is not critical. Each SSD node supports about 10,000 rows/s reads; HDD nodes support about 500 rows/s reads. You cannot mix storage types within a cluster.

How does Bigtable replication affect cost?

Each replicated cluster has its own set of nodes that are billed independently. A two-cluster instance costs roughly double the compute of a single-cluster instance, plus replication network bandwidth. However, storage is only billed once per cluster. Replication provides automatic failover and the ability to route read traffic to the nearest cluster, reducing latency for globally distributed applications.

GCP Bigtable Cost Estimator

StorageGCP

Estimate Cloud Bigtable costs for nodes, SSD/HDD storage, autoscaling, and multi-cluster replication.

Bigtable Configuration

Nodes per Cluster

Production instances require at least 3 nodes.

Storage (GB)

Storage Type

Replication Clusters (including primary)

1 = single cluster, 2+ = multi-cluster replication.

Raw Output

Output will appear here...

About This Tool

Cloud Bigtable is a petabyte-scale, low-latency NoSQL database designed for large analytical and operational workloads like time-series data, IoT telemetry, and ad-tech pipelines. Bigtable pricing is based on the number and type of nodes (SSD or HDD), storage consumed, and network egress. Node count directly determines throughput capacity, with each SSD node handling roughly 10,000 rows/second for reads. This estimator calculates monthly costs based on your cluster topology, storage class, replication configuration, and expected data volumes.

When to Use This Tool

•Estimating costs for a time-series analytics workload storing 50 TB of metrics data with single-digit millisecond read latency requirements
•Comparing SSD vs HDD storage costs for a Bigtable cluster where read latency above 10ms is acceptable for batch analytics
•Budgeting for a multi-cluster replicated Bigtable instance that provides automatic failover and read load balancing across regions
•Modeling the cost impact of increasing node count to handle traffic spikes in an ad-tech bidding pipeline

Frequently Asked Questions

How do I choose between SSD and HDD storage for Bigtable?: SSD storage provides consistent single-digit millisecond latency for both reads and writes, making it ideal for serving real-time applications. HDD storage costs approximately 80% less per GB but has higher read latency (around 200ms) and is suited for large-scale batch analytics or archival workloads where latency is not critical. Each SSD node supports about 10,000 rows/s reads; HDD nodes support about 500 rows/s reads. You cannot mix storage types within a cluster.
How does Bigtable replication affect cost?: Each replicated cluster has its own set of nodes that are billed independently. A two-cluster instance costs roughly double the compute of a single-cluster instance, plus replication network bandwidth. However, storage is only billed once per cluster. Replication provides automatic failover and the ability to route read traffic to the nearest cluster, reducing latency for globally distributed applications.

Related Learning Guides

Cloud Bigtable Guide24 min read

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