Minimal centralized control, poor cardinality management1, and aggressive fee schedules2 make it extremely difficult to control and predict costs with Datadog, leading to expensive overages.
Minimal centralized control, poor cardinality management1, and aggressive fee schedules2 make it extremely difficult to control and predict costs with Datadog, leading to expensive overages.
By using tokens and capacity quotas to monitor and manage access and consumption across multiple teams. Unified data management ensures users only store the data they need. Detailed usage reports accurately predict costs to avoid overages.
Incomplete trace data3, minimal visibility into third-party COTS apps, slow polling architecture4,5 and an overdependence on tagging for search6 make it difficult for customers to get the insights they need at crunch time.
Our complete trace collection, ability to collect data for homegrown and third-party apps in any format, fast streaming metrics architecture, full indexing and flexible Splunk Search Processing Language ensures you can find accurate root causes quickly and easily.
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