The Efficiency Hub

Go back

Azure Cosmos DB

Behavioral Inefficiency

11

Commitment Misalignment

11

Excessive Data Retention

11

Inefficient Architecture

11

Inefficient Configuration

11

Inefficient Configuration

11

Inefficient Data Ingestion

11

Inefficient Network Configuration

11

Inefficient Query Pattern

11

Inefficient Resource Usage

11

Inefficient Scheduling

11

Inefficient Storage Tiering

11

Inefficient Storage Usage

11

Misconfiguration

11

Misconfigured Reservation

11

Missing Safeguard

11

Modernization

11

Orphaned Resource

11

Outdated Resource

11

Overcommitted Reservation

11

Overprovisioned Resource

11

Overprovisioned Resource

11

Redundant Configuration

11

Retained Unused Resource

11

Suboptimal Configuration

11

Suboptimal Configuration and Usage

11

Suboptimal Execution Model

11

Suboptimal Instance Family Selection

11

Suboptimal Instance Family Selection

11

Suboptimal Instance Selection

11

Suboptimal Pricing Model

11

Suboptimal Query Routing and Warehouse Utilization

11

Underutilization

11

Underutilized Resource

11

Unused Resource

11

Unused Resource

11

Visibility Gap

11

Clear filters

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Showing

1234

out of

1234

inefficiencis

Filter

:

Filter

x

Infrequently Accessed Data Stored in Azure Cosmos DB

Databases

Cloud Provider

Azure

Service Name

Azure Cosmos DB

Inefficiency Type

Inefficient Storage Tiering

Azure Cosmos DB is optimized for low-latency, globally distributed workloads—not long-term storage of infrequently accessed data. Yet in many environments, cold data such as logs, telemetry, or historical records is retained in Cosmos DB due to a lack of lifecycle management.

Learn more

There are no inefficiency matches the current filters.