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AWS Timestream Sizing Calculator

AWS Timestream Sizing Calculator MCP Connector for Claude

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Deterministic sizing engine for AWS Timestream workloads.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a deterministic sizing engine for AWS Timestream workloads. It allows AI agents to estimate ingestion throughput, storage tier distribution, and architectural hierarchy limits. Use calculate_ingestion_and_storage to determine throughput and storage volumes, calculate_architectural_hierarchy to plan the organizational structure of tables and databases, and calculate_operational_limits to optimize batch writing and query concurrency.

timestreamawstimeseriessizingdatabase-design

3 tools expose this connector's capabilities to your AI agent.

calculate_architectural_hierarchy

Estimates the distribution of data across the AWS Timestream organizational structure

calculate_ingestion_and_storage

Calculates primary data flow metrics including throughput and storage volume across both tiers

calculate_operational_limits

Determines optimized write batching strategies and query execution capacity

See how to talk to your AI agent using AWS Timestream Sizing Calculator.

Calculate the storage requirements for 500 measures per second with a size of 500 bytes each, keeping data in memory for 24 hours.

The ingestion rate is 250,000 bytes per second (0.25 MB/s). For a 24-hour memory retention, the memory store size is approximately 21.6 GB after applying the 10:1 compression ratio.

I have 1,000,000 total measures. How should I structure my Timestream hierarchy?

Based on standard recommendations, your workload would be distributed into 1,000 tables, 2 databases, and 1 account.

What are the recommended operational limits for a high-concurrency workload?

For your workload, the recommended batch size is 100 records, the maximum batch size is 1 MB, and you should aim for 20 simultaneous queries and 100 scheduled queries.

You can use the `calculate_ingestion_and_storage` tool to estimate the volume of data in both the Memory and Magnetic storage tiers, which helps in predicting AWS Timestream costs.

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