Cosmos DB Integration

Connect CostTrail with Azure Cosmos DB to automatically track, analyze, and optimize your database spending across all accounts, containers, and API models.

Key Features

Multi-model API cost tracking

RU consumption monitoring

Autoscale vs. provisioned analysis

Container-level cost attribution

Region distribution optimization

Query performance monitoring

Partition key efficiency analysis

Consistency level cost impact

Try Cosmos DB Integration

Benefits of Connecting Cosmos DB

Optimize your multi-model database spending by integrating CostTrail with Cosmos DB

Request Unit Optimization

Analyze RU consumption patterns to right-size provisioned throughput and identify optimization opportunities in queries and data models.

Multi-Region Cost Management

Optimize your global distribution strategy by analyzing costs and performance across regions to balance availability and spending.

API Model Comparison

Compare costs across different Cosmos DB API models (SQL, MongoDB, Cassandra, Gremlin, Table) to identify the most cost-effective approach.

Consistency-Cost Balance

Analyze the cost impact of different consistency levels to find the optimal balance between data consistency and performance costs.

Simple Setup Process

Connect your Cosmos DB accounts in minutes with our guided setup

Connect Azure account

Create a read-only service principal with access to your Cosmos DB accounts and Azure Monitor metrics.

Configure data collection

Set up automatic collection of RU consumption, storage usage, and request metrics from Cosmos DB.

Map application context

Connect your Cosmos DB databases and containers to applications, services, and teams for accurate cost attribution.

Enable optimization features

Activate throughput mode recommendations, partition key analysis, and multi-region optimization suggestions.

View detailed setup instructions

Cosmos DB Integration Use Cases

How organizations leverage the CostTrail-Cosmos DB integration

Global Application Optimization

Multinational organizations use CostTrail to optimize their globally distributed Cosmos DB configurations, balancing regional availability with cost efficiency.

Typical cost savings:

27%

Request Unit Provisioning

Development teams use CostTrail to right-size RU provisioning across containers, eliminating over-provisioning while ensuring application performance.

Typical cost savings:

34%

Multi-API Cost Management

Organizations using multiple Cosmos DB API models use CostTrail to compare costs and identify the most cost-effective data models and access patterns.

Typical cost savings:

31%

Enterprise-Grade Security

We take the security of your Cosmos DB data seriously. Our integration uses the highest security standards:

SOC 2 Type II compliant
End-to-end encryption
Read-only Azure RBAC
Microsoft certified partner
No credential storage
Regular security audits

Learn more about our security practices

Resources & Documentation

Get the most out of your Cosmos DB integration with our comprehensive documentation and support resources:

Integration Guide

Step-by-step setup and configuration instructions

API Documentation

Technical details for developers

Support Center

Troubleshooting and help articles

Webinar Recording

Watch our Cosmos DB integration demo

Frequently Asked Questions

Common questions about the Cosmos DB integration

Have more questions?

Our multi-model database experts are ready to help with any questions about the Cosmos DB integration.

Contact Database Support