Software · head to head
ELK Stack vs Vector

Vector
Software
A Lightweight and Ultra-Fast Tool for Building Observability Pipelines
- From
- Free
- Rated
- -
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; Vector free and open source under the MPL-2.0 license, backed by an open source community with a public GitHub repo
- They diverge on capability: ELK Stack covers Full-text search, Vector covers Log collection.
Where they differ
Only the attributes on which ELK Stack and Vector actually diverge.
Identical on both: starting price (Free), pricing model (open-source), 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
- Log aggregation
- Time-series analytics
Only in Vector
- Log collection
- Metrics collection
- Trace collection
- Event transformation
Both cover
- 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 Vector
- Dashboards and visualisation of machine data in Kibananot Vector
- Self managing a search and observability cluster on your own hardwarenot Vector
Vector
- Log monitoringnot ELK Stack
- Application performancenot ELK Stack
- Security analyticsnot ELK Stack
- Troubleshootingnot 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
Vector
- Free and open source under the MPL-2.0 license, backed by an open source community with a public GitHub repo
Pricing, plan by plan
ELK Stack
Free- FreeFree
- Full-text search
- Data visualization
- Log aggregation
Vector
Free- FreeFree
- Log collection
- Metrics collection
- Trace collection
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 Vector if
- You need log collection.
- You want to start without paying.
- You work on Web, Api.
- You also want metrics collection.
Questions people ask
- Is ELK Stack or Vector better?
- Neither clearly leads. ELK Stack starts at Free and Vector at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ELK Stack or Vector?
- ELK Stack starts at Free and Vector at Free.
- Does ELK Stack or Vector 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 Vector is typically brought in for.
- What can ELK Stack do that Vector cannot?
- ELK Stack covers Full-text search, Data visualization, Log aggregation, Time-series analytics. Vector covers Log collection, Metrics collection, Trace collection, Event transformation. Both handle API, Webhooks, REST, Web support.
Related pages
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