Honeycomb vs. Datadog
Honeycomb vs. Datadog
Honeycomb vs. Datadog
Find answers to critical problems faster
Honeycomb saves time with a consistent workflow
Honeycomb’s event-based pricing is simple and predictable
Honeycomb performs faster with extremely granular data
See how they don’t compare:
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Honeycomb
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Datadog
- Real-time querying and pattern detection on production code
Query across all fields instantly without pre-indexing.
Querying unindexed data can take hours.- Instant analysis and parsing of highly specific values
Analyze and filter high cardinality data (userID, hostID) in seconds.
Metrics-based analysis runs into cardinality limitations.- Faster debugging with context retained to drill down and filter on every graph view
Unified wide data format makes investigating outliers simple.
Cycle between separate data sources to retrieve important context.- Actionable alerts with accurate service level objectives
Based on live events with context for failed requests.
Based on aggregated metrics per minute.- Full compatibility with OpenTelemetry
All product features are compatible with OTel.
Limited compatibility. Proprietary agent lock in.- 30-day data retention included
60-day retention with unlimited query result history.
15-day traces, additional $2.50/m events each month.- Pricing for inclusion of contextual data to prepare for any unknowns
Pricing per event, each including thousands of custom fields.
Overages from host count, indexed fields, custom metric count, and memory.- No peak usage billing for data
Customers receive burst protection.
Highwater mark billing for application and infrastructure monitoring.- Free account with core features (querying, triggers, and outlier analysis)
20 million events per month free forever.
14-day free trial available.
- Honeycomb
- Datadog
- Real-time querying and pattern detection on production code
Query across all fields instantly without pre-indexing.
Querying unindexed data can take hours.- Instant analysis and parsing of highly specific values
Analyze and filter high cardinality data (userID, hostID) in seconds.
Metrics-based analysis runs into cardinality limitations.- Faster debugging with context retained to drill down and filter on every graph view
Unified wide data format makes investigating outliers simple.
Cycle between separate data sources to retrieve important context.- Actionable alerts with accurate service level objectives
Based on live events with context for failed requests.
Based on aggregated metrics per minute.- Full compatibility with OpenTelemetry
All product features are compatible with OTel.
Limited compatibility. Proprietary agent lock in.- 30-day data retention included
60-day retention with unlimited query result history.
15-day traces, additional $2.50/m events each month.- Pricing for inclusion of contextual data to prepare for any unknowns
Pricing per event, each including thousands of custom fields.
Overages from host count, indexed fields, custom metric count, and memory.- No peak usage billing for data
Customers receive burst protection.
Highwater mark billing for application and infrastructure monitoring.- Free account with core features (querying, triggers, and outlier analysis)
20 million events per month free forever.
14-day free trial available.
Stop wasting precious engineering cycles
Stop wasting precious engineering cycles
Stop wasting precious engineering cycles
Give your developers the gift of innovation time, and boost customer satisfaction for your business.

I am a huge fan of Honeycomb as it fills a gap left by my existing tools.
I look at Honeycomb graphs and go, ‘my app is doing what?!’. And then I go ahead and fix it.
Glen Mailer
Staff Software Engineer

2022 GARTNER® MAGIC QUADRANT™
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