Software · head to head
ELK Stack vs Loggly
The short version
- Each has a real cost: ELK Stack the free Basic self managed subscription excludes machine learning, alerting, single sign on via SAML or OpenID Connect, LDAP and Active Directory authentication, field and document level security, searchable snapshots and cross cluster replication; Loggly the free Lite plan caps ingest at 200 MB per day with 7 day retention
- They diverge on capability: ELK Stack covers Full-text search, Loggly covers Real-time search.
Where they differ
Only the attributes on which ELK Stack and Loggly actually diverge.
Identical on both: starting price (Free), free tier (Yes), platforms (Web, Api), user rating (Not yet rated), category (Unknown).
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 ELK Stack
- Full-text search
- Data visualization
- Time-series analytics
Only in Loggly
- Real-time search
- Custom dashboards
- Alert management
Both cover
- Log aggregation
- API
- Webhooks
- REST
- Web support
- Api support
What people use each for
The jobs each tool is most often brought in to do.
ELK Stack
- Centralised log search and analytics over Elasticsearchnot Loggly
- Dashboards and visualisation of machine data in Kibananot Loggly
- Self managing a search and observability cluster on your own hardwarenot Loggly
Loggly
- Cloud-hosted log aggregation for small and mid-sized engineering teamsnot ELK Stack
- Alerting on log patterns via email, webhook, PagerDuty or Slacknot ELK Stack
- Log analysis alongside SolarWinds infrastructure and application monitoringnot ELK Stack
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ELK Stack
- The free Basic self managed subscription excludes machine learning, alerting, single sign on via SAML or OpenID Connect, LDAP and Active Directory authentication, field and document level security, searchable snapshots and cross cluster replication
- Cross cluster operations require the same subscription tier on every cluster involved
- The 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
- Three deployment models are priced on three different bases: resource based for Cloud Hosted, usage based for Serverless and licence based on nodes and RAM for self managed
- Elastic Cloud Serverless does not yet support traffic filtering, cross project search or bring your own key
- The pricing page publishes no rate for any tier
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
ELK Stack
Free- FreeFree
- Full-text search
- Data visualization
- Log aggregation
Loggly
Free- FreeFree
- Log aggregation
- Real-time search
- Custom dashboards
Which should you pick?
Choose ELK Stack if
- You need full-text search.
- You want to start without paying.
- You work on Web, Api.
- You also want data visualization.
Choose Loggly if
- You need real-time search.
- You want to start without paying.
- You work on Web, Api.
- You also want custom dashboards.
Questions people ask
- Is ELK Stack or Loggly better?
- Neither clearly leads. ELK Stack starts at Free and Loggly at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ELK Stack or Loggly?
- ELK Stack starts at Free and Loggly at Free.
- Does ELK Stack or Loggly run on more platforms?
- Both run on Web, Api, so platform support will not decide this one for you.
- Can I use ELK Stack for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ELK Stack best used for?
- ELK Stack is most often used for centralised log search and analytics over elasticsearch, dashboards and visualisation of machine data in kibana, self managing a search and observability cluster on your own hardware. Of those, centralised log search and analytics over elasticsearch and dashboards and visualisation of machine data in kibana are not what Loggly is typically brought in for.
- What can ELK Stack do that Loggly cannot?
- ELK Stack covers Full-text search, Data visualization, Time-series analytics. Loggly covers Real-time search, Custom dashboards, Alert management. Both handle Log aggregation, API, Webhooks, REST.
Related pages
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