Sold by: InfluxData Inc.
Deployed on AWS
Power higher querying capabilities and hot-standbys for high-availability with Read Replicas for Timestream for InfluxDB instance. NOTE: This is an add-on only for Timestream for InfluxDB and does not provide functionality on its own. You must purchase Timestream for InfluxDB to utilize this add-on.
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Overview
Amazon Timestream for InfluxDB Read Replicas is an add-on designed to enhance availability, query performance, and reliability for time series workloads. By creating read replicas, users gain distributed query scaling, hot standby failover, and cost-effective high availability, all for ensuring uninterrupted monitoring, analytics, and IoT data processing.
This add-on offloads query workloads to read replica instances, improving query throughput and performance consistency while reducing strain on the primary database. In the event of primary instance issues, it enables fast failover, keeping critical data accessible with minimal downtime.
Built on InfluxDB 2.7 OSS, this solution is ideal for users seeking high query performance and operational resilience. Amazon Timestream for InfluxDB Read Replicas delivers enterprise-grade performance with the benefits of a managed solution backed by AWS and InfluxData. Whether for IT infrastructure monitoring, industrial sensor data processing, or real-time analytics, this add-on ensures seamless scaling, resilience, and efficiency.
Highlights
- Scalable Query Performance: Offload and distribute query workloads to read replicas, improving performance consistency and reducing strain on the primary instance.
- High Availability & Fast Failover: Minimize downtime with hot standby failover, ensuring critical time series data remains accessible even if the primary instance encounters issues.
- Enterprise-Grade Reliability, Managed for You: Built on InfluxDB 2.7 OSS and backed by AWS and InfluxData, this add-on delivers seamless scaling, resiliency, and operational efficiency without the complexity of managing a multi-node cluster.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
Price for US East 1 (N. Virginia) Region per vCPU | Price for US East 1 (N. Virginia) Region per vCPU | $0.06 |
Price for US East 2 (Ohio) Region per vCPU | Price for US East 2 (Ohio) Region per vCPU | $0.06 |
Price for US West 2 (Oregon) Region per vCPU | Price for US West 2 (Oregon) Region per vCPU | $0.06 |
Price for Canada (Central) Region per vCPU | Price for Canada (Central) Region per vCPU | $0.064 |
Price for Asia Pacific (Mumbai) Region per vCPU | Price for Asia Pacific (Mumbai) Region per vCPU | $0.068 |
Price for Asia Pacific (Singapore) Region per vCPU | Price for Asia Pacific (Singapore) Region per vCPU | $0.071 |
Price for Asia Pacific (Sydney) Region per vCPU | Price for Asia Pacific (Sydney) Region per vCPU | $0.071 |
Price for Asia Pacific (Tokyo) Region per vCPU | Price for Asia Pacific (Tokyo) Region per vCPU | $0.071 |
Price for Europe (Frankfurt) Region per vCPU | Price for Europe (Frankfurt) Region per vCPU | $0.072 |
Price for Europe (Stockholm) Region per vCPU | Price for Europe (Stockholm) Region per vCPU | $0.061 |
Dimensions summary
This add-on bills you per vCPU of read replica capacity, charged by host hour (HostHrs). You pay only for what you run, with no upfront commitment. The dimensions are not tiers or feature levels. Instead, each dimension sets the rate for one AWS Region. The Region you deploy in determines your per-vCPU price, and rates vary across North America, Europe, Asia Pacific, South America, the Middle East, and Mexico. Your total cost scales with the number of vCPUs and the hours they run. Billing flows directly through your AWS account.
Top-of-mind questions for buyers
You pay per vCPU of read replica compute, metered by host hour (HostHrs). Each vCPU your replica runs counts toward the hourly charge. Your bill scales with the number of vCPUs multiplied by the hours they run. A larger replica with more vCPUs accrues more per hour.
Charges accrue per vCPU per host hour while the replica runs. A fully stopped replica does not run vCPUs, so no software host-hour charge applies. Underlying AWS storage or infrastructure fees may still apply separately, but this add-on meters running compute time only.
Each dimension sets the per-vCPU host-hour rate for one AWS Region. The Region where you deploy the read replica determines which rate applies. Rates vary across North America, Europe, Asia Pacific, South America, the Middle East, and Mexico. Deploying in a different Region changes your per-vCPU cost.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
In addition to the traditional support from the AWS Timestream team, licensees of the Read Replicas functionality will also receive support from the InfluxData Customer Support team as well.
You can reach InfluxData Support at support@influxdata.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
SJ
Excellent Database Feature
Reviewed on Feb 28, 2025
Review from a verified AWS customer
I really like how easy and useful this feature is, specially when creating a new instance one can create replica for production workloads.