Logging · head to head
Datadog Logs vs Loggly

Datadog Logs
Logging
Log Management and Analytics
- From
- $0.1/per GB ingested per month
- Rated
- -
The short version
- Only Loggly has a free tier, so it costs nothing to try first.
- Each has a real cost: Datadog Logs complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale; Loggly the free Lite plan caps ingest at 200 MB per day with 7 day retention
- They diverge on capability: Datadog Logs covers Log ingestion, Loggly covers Log aggregation.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Datadog Logs and Loggly actually diverge.
| Attribute | Datadog Logs | Loggly |
|---|---|---|
| Starting price | $0.1/per GB ingested per month | Free |
| Free tier | No | Yes |
| Platforms | Cloud (AWS, Azure, Google Cloud, Oracle Cloud) | Web, Api |
| Founded | 2010 | 2009 |
Identical on both: pricing model (usage-based), user rating (Not yet rated), category (Logging).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Datadog Logs
- Log ingestion
- Full-text search
- Log-based metrics
Only in Loggly
- Log aggregation
- Real-time search
- Alert management
Both cover
- Custom dashboards
- API
- Webhooks
- REST
- Web support
- Api support
What people use each for
The jobs each tool is most often brought in to do.
Datadog Logs
- Centralised log aggregation and analysisnot Loggly
- Multi-source log correlation with metrics and tracesnot Loggly
- Root cause analysis and troubleshootingnot Loggly
- Security monitoring and threat detectionnot Loggly
Loggly
- Cloud-hosted log aggregation for small and mid-sized engineering teamsnot Datadog Logs
- Alerting on log patterns via email, webhook, PagerDuty or Slacknot Datadog Logs
- Log analysis alongside SolarWinds infrastructure and application monitoringnot Datadog Logs
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Datadog Logs
- Complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale
- Ingestion pricing of $0.10/GB can accumulate rapidly for high-volume logging environments
Loggly
- The free Lite plan caps ingest at 200 MB per day with 7 day retention
- API access and archiving to Amazon S3 start on the Pro plan at $159 per month billed annually
- Federated identity management is an Enterprise feature, starting at $279 per month billed annually
- The Standard plan at $79 per month is limited to 1 GB per day and 3 source groups
- Maximum retention is 90 days and only on Enterprise; Standard is fixed at 15 days
Pricing, plan by plan
Datadog Logs
$0.1/per GB ingested per monthNo published plan breakdown. See the Datadog Logs review.
Loggly
Free- FreeFree
- Log aggregation
- Real-time search
- Custom dashboards
Which should you pick?
Choose Datadog Logs if
- You need log ingestion.
- You work on Cloud (AWS, Azure, Google Cloud, Oracle Cloud).
- You also want full-text search.
Choose Loggly if
- You need log aggregation.
- You want to start without paying.
- You work on Web, Api.
- You also want real-time search.
Questions people ask
- Is Datadog Logs or Loggly better?
- Neither clearly leads. Datadog Logs starts at $0.1/per GB ingested per month and Loggly at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Datadog Logs or Loggly?
- Loggly has a free tier; the other does not. Paid plans start at $0.1/per GB ingested per month for Datadog Logs and Free for Loggly.
- Does Datadog Logs or Loggly run on more platforms?
- Datadog Logs runs on Cloud (AWS, Azure, Google Cloud, Oracle Cloud). Loggly runs on Web, Api.
- Can I use Loggly for free?
- Yes. Loggly has a free tier, so you can try it without paying. Datadog Logs starts at $0.1/per GB ingested per month.
- What is Datadog Logs best used for?
- Datadog Logs is most often used for centralised log aggregation and analysis, multi-source log correlation with metrics and traces, root cause analysis and troubleshooting, security monitoring and threat detection. Of those, centralised log aggregation and analysis and multi-source log correlation with metrics and traces are not what Loggly is typically brought in for.
- What can Datadog Logs do that Loggly cannot?
- Datadog Logs covers Log ingestion, Full-text search, Log-based metrics. Loggly covers Log aggregation, Real-time search, Alert management. Both handle Custom dashboards, API, Webhooks, REST.
Answered from the vendors’ own pages
Datadog Logs: What pricing options does Datadog offer for log ingestion and processing?
Log ingestion starts at $0.10/GB (annual billing; $0.10 on-demand). Standard indexing costs $1.70 per million events per month (annual; $2.55 on-demand). Flex Storage costs $0.05/million events stored per month (annual; $0.075 on-demand). Flex Logs Starter costs $0.60/million events stored per month (annual; $0.90 on-demand).
SourceDatadog Logs: What retention options are available and how does it affect pricing?
Standard indexing offers 15-day retention with options for 3 to 30+ days. Flex Storage supports flexible retention up to 15 months. Flex Logs Starter includes bundled compute for retention of 3-15 months.
SourceDatadog Logs: Is there a cost to forward logs to external systems?
Yes, log forwarding costs $0.25/GB outbound per destination for routing logs to external systems.
SourceDatadog Logs: What discounts are available for high-volume customers?
Multi-year and volume discounts are available for customers processing 3B+ events per month.
SourceRelated pages
More on Datadog Logs
Other head to heads
- Datadog Logs vs Dynatrace Logs
- Datadog Logs vs New Relic Logs
- Datadog Logs vs Splunk Enterprise
- Datadog Logs vs Axiom
- Datadog Logs vs Better Stack
- Datadog Logs vs ELK Stack
- Datadog Logs vs Sematext
- Datadog Logs vs Sumo Logic
- Datadog Logs vs Coralogix
- Datadog Logs vs AppDynamics
- Datadog Logs vs Fluent Bit
- Datadog Logs vs Graylog
- Datadog Logs vs Honeybadger
- Datadog Logs vs Filebeat
- Datadog Logs vs Fluentd
- Datadog Logs vs New Relic
- Datadog Logs vs Elastic Stack
- Datadog Logs vs Splunk Cloud
- Datadog Logs vs FireHydrant
- Datadog Logs vs Rootly
- Datadog Logs vs Uptime.com
- Datadog Logs vs Vector
- Datadog Logs vs Checkly
- Datadog Logs vs CloudWatch
- Datadog Logs vs Airbrake
- Datadog Logs vs Dynatrace
- Loggly vs Dynatrace Logs
- Loggly vs New Relic Logs
- Loggly vs Splunk Enterprise
- Loggly vs Axiom
- Loggly vs Better Stack
- Loggly vs ELK Stack
- Loggly vs Sematext
- Loggly vs Sumo Logic
- Loggly vs Coralogix
- Loggly vs AppDynamics
- Loggly vs Fluent Bit
- Loggly vs Graylog
- Loggly vs Honeybadger
- Loggly vs Filebeat
- Loggly vs Fluentd
- Loggly vs New Relic
- Loggly vs Elastic Stack
- Loggly vs Splunk Cloud
- Loggly vs FireHydrant
- Loggly vs Rootly
- Loggly vs Uptime.com
- Loggly vs Vector
- Loggly vs Checkly
- Loggly vs CloudWatch
- Loggly vs Airbrake
- Loggly vs Dynatrace

