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:

  •  

  • 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.
  • 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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