DataDog vs OpenObserve Part 3: Traces & APM Comparison

The comparison between DataDog and OpenObserve highlights significant differences in cost structure and feature offerings for application performance monitoring (APM) and distributed tracing. While DataDog charges per APM host, indexed span, and implements automatic premium tiers for large language model (LLM) traces, OpenObserve offers a more predictable cost model with flat pricing at $0.30 per GB for all traces, without feature-based pricing. OpenObserve's approach includes SQL queries for trace visualization, automatic span indexing, and compatibility with OpenTelemetry, providing up to 90% cost savings compared to DataDog. The test results demonstrate that OpenObserve maintains feature parity in service maps, trace search capabilities, and error tracking, while eliminating unexpected premium charges and ensuring full trace retention. Evereve, a fashion retail company, notably achieved 90% cost savings by migrating to OpenObserve, enjoying transparent pricing without sacrificing system visibility. The study indicates OpenObserve as a favorable alternative for managing OpenTelemetry-instrumented microservices, particularly for those integrating AI features, due to its predictable scaling and lack of host-based costs.

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