Google Cloud Pub/Sub offers two distinct service models with different pricing structures: Pub/Sub service and Pub/Sub Lite service. This article will explore the pricing components, cost optimization strategies, and help you make informed decisions about your messaging infrastructure costs.
Important Note: Pub/Sub Lite is being deprecated effective March 18, 2026. Current customers can continue using it until then, but new customers after September 24, 2024, will not have access to Pub/Sub Lite.
Pub/Sub Service Pricing Components
1. Throughput Costs
The fundamental pricing model for Pub/Sub throughput follows a tiered structure:
Base Throughput Pricing
- Free tier: First 10 GiB of throughput per month
- Standard rate: $40 per TiB for all subsequent throughput
- Billing is based on the actual message volume processed
Specialized Subscription Pricing
2. Storage Pricing
Storage costs are fixed at $0.27 per GiB-month and apply to several scenarios:
Topic Storage
- Messages retained in topics with retention policies
- Complete message history preservation
Subscription Storage
- Acknowledged messages with retention enabled
- Unacknowledged messages beyond 24-hour retention
- Snapshot storage for point-in-time recovery
Special Storage Considerations
- The first 24 hours of message storage are free
- Storage billing is calculated daily
- Prorated charges for partial month usage
Storage Pricing Example
Scenario:
- Topic size: 100 GB
- Retention period: 30 days
- Storage rate: $0.27 per GB-month
Monthly storage cost calculation:
100 GB × $0.27 = $27.00 per month
3. Data Transfer Costs
Data transfer pricing follows a hierarchical structure based on network boundaries:
Inbound Data Transfer
- All inbound data transfer to Pub/Sub is free
- No charges for data ingestion from any source
Internal Data Transfer
- Free within the same region
- Standard cloud egress rates apply between regions
- Zone data transfer fees do not apply to Pub/Sub usage
Outbound Data Transfer
- Standard Google Cloud egress rates apply
- Varies based on destination and volume
- Special rates for Cloud Interconnect customers
Message Volume Calculation and Billing
The billable size of a message includes:
Base Components
- Encoded message body string
- Message attributes and key sizes
- 20 bytes for timestamp
- Message ID string size
- Optional fields for early access features
Minimum Billing Unit
- 1 KB minimum charge per request
- Batch processing recommended for messages under 1 KB
- Optimization opportunity for small messages
Example:
Individual processing:
10 messages × 0.2 KB each = 10 KB billable (1 KB minimum each)
Batch processing:
10 messages × 0.2 KB each = 2 KB billable (single request)
Savings: 8 KB per 10 messages
Pub/Sub Cost Optimization Strategies
1. Message Batching
Implement effective batching strategies:
- Group small messages into larger batches
- Optimize for the 1 KB minimum billing threshold
- Balance latency requirements with cost-efficiency
2. Storage Optimization
Manage storage costs through:
- Appropriate retention period settings
- Regular cleanup of unnecessary messages
- Use of time-based expiration policies
3. Subscription Management
Optimize subscription costs by:
- Removing unused subscriptions
- Implementing efficient acknowledgment patterns
- Using appropriate subscription types for workloads
Pub/Sub Pricing Considerations
Regional Pricing Variations
While base rates are consistent, consider:
Data Transfer Costs:
- Inter-region transfer rates
- Cross-continental transfer pricing
- Special zones and regions considerations
Service Level Requirements:
- High availability configurations
- Disaster recovery setups
- Multi-region deployments
Enterprise Features and Pricing
Enterprise-grade features that affect pricing:
Security Features:
- Encryption at rest
- Customer-managed encryption keys
- Identity and access management
Reliability Features:
- Exactly-once delivery
- Message ordering
- Replay capability
Pub/Sub Lite Legacy Pricing (Pre-Deprecation)
While being deprecated, understanding Pub/Sub Lite pricing remains relevant for existing implementations until March 2026:
Capacity-Based Pricing Model
How to Manage Pub/Sub Cost?
1. Monitoring and Alerting
Implement comprehensive monitoring:
- Set up billing alerts
- Monitor usage patterns
- Track costs by component
2. Capacity Planning
Effective capacity planning strategies:
- Regular usage analysis
- Growth projections
- Seasonal variation consideration
3. Architecture Optimization
Design considerations for cost efficiency:
- Message size optimization
- Batch processing implementation
- Efficient subscription patterns
How can Airbyte Help Optimize Google Pub/Sub Costs?
1. Efficient Data Integration Across Sources
- Selective Data Syncing: With Airbyte, you can implement incremental syncs instead of full-refresh syncs. By only moving new or changed data from Pub/Sub topics to your destination, you minimize data transfer and storage costs.
- Customizable Filters: Airbyte supports filtering options to sync only the required Pub/Sub messages, reducing unnecessary processing and saving costs on bandwidth and compute.
2. Cost-Efficient Storage Management
- Data Normalization: Normalize Pub/Sub JSON messages into structured formats before storing them in databases like BigQuery. Structured storage is typically more cost-efficient and easier to query, reducing downstream compute costs.
- Compression and Deduplication: Airbyte enables deduplication of data, especially useful for Pub/Sub streams prone to duplication in high-throughput scenarios. This ensures storage and compute are not wasted on redundant data.
3. Optimized Topic and Subscription Management
- Batch Processing: Airbyte can process messages in batches, reducing the number of pull requests made to Pub/Sub subscriptions. This limits operation costs associated with per-request pricing models.
- Rate-Limiting: Configure Airbyte to control the rate at which messages are processed. This ensures you do not overconsume resources during high traffic periods.
4. Seamless Integration With Cost-Effective Destinations
Use Airbyte to route Pub/Sub data to cost-efficient storage solutions such as Google Cloud Storage (GCS) or OLAP systems like DuckDB. This eliminates the need to retain data in Pub/Sub longer than necessary, which can drive up costs.
5. Support for Change Data Capture (CDC)
Leverage Airbyte’s CDC capabilities to sync only changes in real-time instead of the entire dataset. This is particularly valuable when integrating data-intensive applications, as it avoids processing costs tied to large-scale syncs.
6. Granular Monitoring and Alerts
Airbyte provides detailed logs and metrics for every sync operation. You can use this data to analyze the costs of specific Pub/Sub integrations, identify bottlenecks, and optimize configurations accordingly.
7. Scaling with Automation
- Scheduled Syncs: Automate message syncing based on predictable usage patterns. For instance, schedule high-volume syncs during off-peak hours to take advantage of lower resource demand and potentially lower pricing tiers.
- Dynamic Scaling: Configure Airbyte to scale resources dynamically based on the volume of Pub/Sub messages. This avoids over-provisioning or underutilization of resources.
Conclusion
Understanding Google Cloud Pub/Sub pricing requires careful consideration of multiple components and their interactions. By carefully planning your implementation and following best practices for cost optimization, you can build a cost-effective messaging infrastructure that meets your needs while maintaining budget control.
For optimal cost management:
- Regularly review usage patterns
- Implement appropriate optimization strategies
- Monitor and adjust configurations as needed
- Plan for future growth and changes
As the platform evolves and Pub/Sub Lite phases out, staying informed about pricing changes and new features will help ensure the continued cost-effective operations of your messaging infrastructure.