Log Management · head to head
Loki vs ELK Stack
The short version
- Each has a real cost: Loki the Grafana Cloud free tier caps log ingestion at 50 GB a month with 14 day retention; 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
- They diverge on capability: Loki covers Label-based indexing, ELK Stack covers Full-text search.
Where they differ
Only the attributes on which Loki and ELK Stack actually diverge.
Identical on both: starting price (Free), pricing model (open-source), free tier (Yes), platforms (Web, Api), user rating (Not yet rated), category (Log Management).
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 Loki
- Label-based indexing
- Real-time log streaming
- LogQL query language
Only in ELK Stack
- Full-text search
- Data visualization
- Time-series analytics
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.
Loki
- Aggregating application and infrastructure logs with label based indexingnot ELK Stack
- Querying logs alongside metrics in Grafananot ELK Stack
ELK Stack
- Centralised log search and analytics over Elasticsearchnot Loki
- Dashboards and visualisation of machine data in Kibananot Loki
- Self managing a search and observability cluster on your own hardwarenot Loki
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Loki
- The Grafana Cloud free tier caps log ingestion at 50 GB a month with 14 day retention
- Paid log pricing is split across three separate meters, at $0.050 per GB processed, $0.400 per GB written and $0.100 per GB retained
- Retaining logs is billed separately from ingesting them, so keeping data costs on an ongoing basis rather than once
- The Pro plan carries a $19 a month platform fee before any usage charges
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
Pricing, plan by plan
Loki
Free- FreeFree
- Log aggregation
- Label-based indexing
- Real-time log streaming
ELK Stack
Free- FreeFree
- Full-text search
- Data visualization
- Log aggregation
Which should you pick?
Choose Loki if
- You need label-based indexing.
- You want to start without paying.
- You work on Web, Api.
- You also want real-time log streaming.
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.
Questions people ask
- Is Loki or ELK Stack better?
- Neither clearly leads. Loki starts at Free and ELK Stack at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Loki or ELK Stack?
- Loki starts at Free and ELK Stack at Free.
- Does Loki or ELK Stack run on more platforms?
- Both run on Web, Api, so platform support will not decide this one for you.
- Can I use Loki for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Loki best used for?
- Loki is most often used for aggregating application and infrastructure logs with label based indexing, querying logs alongside metrics in grafana. Of those, aggregating application and infrastructure logs with label based indexing and querying logs alongside metrics in grafana are not what ELK Stack is typically brought in for.
- What can Loki do that ELK Stack cannot?
- Loki covers Label-based indexing, Real-time log streaming, LogQL query language. ELK Stack covers Full-text search, Data visualization, Time-series analytics. Both handle Log aggregation, API, Webhooks, REST.
Related pages
Other head to heads
- Loki vs Elastic Stack
- Loki vs New Relic
- Loki vs Datadog Logs
- Loki vs Coralogix
- Loki vs Grafana Loki
- Loki vs CloudWatch
- Loki vs Dynatrace
- Loki vs InfluxDB
- Loki vs Airbrake
- Loki vs AppDynamics
- Loki vs Axiom
- Loki vs Azure Monitor
- Loki vs Better Stack
- Loki vs Bugsnag
- Loki vs Dynatrace Logs
- Loki vs Elastic
- Loki vs Elastic APM
- Loki vs Elasticsearch Service
- ELK Stack vs Elastic Stack
- ELK Stack vs New Relic
- ELK Stack vs Datadog Logs
- ELK Stack vs Coralogix
- ELK Stack vs Grafana Loki
- ELK Stack vs CloudWatch
- ELK Stack vs Dynatrace
- ELK Stack vs InfluxDB
- ELK Stack vs Airbrake
- ELK Stack vs AppDynamics
- ELK Stack vs Axiom
- ELK Stack vs Azure Monitor
- ELK Stack vs Better Stack
- ELK Stack vs Bugsnag
- ELK Stack vs Dynatrace Logs
- ELK Stack vs Elastic
- ELK Stack vs Elastic APM
- ELK Stack vs Elasticsearch Service


