Inigo vs. Datadog

Meet Inigo for GraphQL. The freedom do choose.

Why Inigo is Better Suited for GraphQL Teams

100% requests. No throttling
Limited
Field-Level Analytics
Limited
High Cardinality & Group-Bys
Subgraph Tracing
CI/CD Developer Lifecycle Integration
Error Tracking & Root Cause Analysis
Query Cost Analysis
Schema Search
Heat Map & Tree View
Cost Saving

Why Inigo? Purpose-Built for GraphQL Observability

When it comes to GraphQL observability, choosing the right tool matters. You don’t go to your family doctor for brain surgery, and the same applies here—don’t use a general-purpose observability tool when you need GraphQL-specific insights. While Datadog is a powerful, general-purpose observability platform, it lacks the deep, GraphQL-specific insights that engineering teams need to optimize performance, troubleshoot issues, and manage costs effectively. Inigo, on the other hand, is purpose-built for GraphQL observability, ensuring that every query, resolver, and schema change is monitored with precision.

“By far, this is the best GraphQL analytics tool - Inigo has been so dope for helping us understand customer impact when something goes wrong. We can see how many unique users were affected in a few clicks.

Love that Observe tab!”

Staff Engineer, SIBI

Full Visibility Without Throttling

Datadog's ingestion model can lead to throttled or sampled data, meaning you might miss critical GraphQL performance insights. Inigo captures 100% of GraphQL requests without compromise, ensuring complete visibility into query execution.

Granular Field-Level Analytics

GraphQL’s nested structure demands deep, field-level analytics, not just top-level API monitoring. Inigo tracks individual field usage, response times, and performance bottlenecks that Datadog overlooks. With heat maps, users can:

See the most frequently used fields and identify deprecated fields that should be removed

Filter by user to analyze field access patterns

Filter by client to understand their specific schema consumption

Subgraph View for Optimized Federation

Managing a federated GraphQL architecture requires visibility into subgraph activity. Inigo provides a Subgraph View that allows teams to:

Sort subgraphs by the number of calls

Identify the most and least used subgraphs for optimization

Seamless Integration into the Developer Lifecycle

With features like schema checks in CI/CD, Inigo prevents breaking changes before they reach production. Datadog provides observability after deployment, but lacks proactive tooling for GraphQL schema management.

Cost Optimization for GraphQL Workloads

Query cost matters. Inigo’s Query Cost Analysis prevents expensive queries from impacting performance and budgets. Datadog lacks these cost-saving insights, making GraphQL monitoring more expensive and less efficient.

Choose the Right Tool for the Job

Datadog is excellent for general observability but lacks GraphQL-specific depth. For teams running GraphQL in production, Inigo is the clear choice—offering comprehensive observability, better cost efficiency, and built-in GraphQL intelligence that Datadog simply cannot match.


Don’t settle for a generalist tool when you need a GraphQL expert. Switch to Inigo today.

Need a custom offer? Migrating from GraphOS? Looking for something special?