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Elasticsearch vs ELK Stack

Elasticsearch logo

Elasticsearch

Software

The heart of the Elastic Stack for search and analytics

From
Free
Rated
-
Full reviewWebsite
ELK Stack logo

ELK Stack

Software

Open Source Search and Log Analytics

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements; 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: Elasticsearch covers Full-text Search, ELK Stack covers Full-text search.

Where they differ

Only the attributes on which Elasticsearch and ELK Stack actually diverge.

Attributes where Elasticsearch and ELK Stack differ
AttributeElasticsearchELK Stack
Pricing modelUnknownopen-source
PlatformsLinux, Windows, macOS, Docker, KubernetesWeb, Api
Founded20102011

Identical on both: starting price (Free), free tier (Yes), 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 Elasticsearch

  • Full-text Search
  • Real-time Analytics
  • Distributed Architecture
  • RESTful API
  • Schema-free JSON
  • Aggregations
  • Machine Learning
  • Kibana

Only in ELK Stack

  • Full-text search
  • Data visualization
  • Log aggregation
  • Time-series analytics
  • API
  • Webhooks
  • REST
  • Api support

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Elasticsearch

  • Real-time applicationsnot ELK Stack
  • Content managementnot ELK Stack
  • User profilesnot ELK Stack
  • Mobile backendsnot ELK Stack
  • Cachingnot ELK Stack

ELK Stack

  • Centralised log search and analytics over Elasticsearchnot Elasticsearch
  • Dashboards and visualisation of machine data in Kibananot Elasticsearch
  • Self managing a search and observability cluster on your own hardwarenot Elasticsearch

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Elasticsearch

  • Eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • No support for ACID transactions or rollbacks; updates delete and re-insert documents
  • JVM-dependent architecture requires careful memory management and monitoring to prevent garbage collection issues at scale

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

Elasticsearch

Free
  • Self-ManagedFree
    • Open source
    • Self-hosted
  • Elasticsearch Cloud$16.4/month
    • Managed service
    • 14-day free trial

ELK Stack

Free
  • FreeFree
    • Full-text search
    • Data visualization
    • Log aggregation

Which should you pick?

Choose Elasticsearch if

  • You need full-text search.
  • You want to start without paying.
  • You work on Linux, Windows, macOS, Docker, Kubernetes.
  • You also want real-time analytics.
Elasticsearch review

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.
ELK Stack review

Questions people ask

Is Elasticsearch or ELK Stack better?
Neither clearly leads. Elasticsearch 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, Elasticsearch or ELK Stack?
Elasticsearch starts at Free and ELK Stack at Free.
Does Elasticsearch or ELK Stack run on more platforms?
Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. ELK Stack runs on Web, Api.
Can I use Elasticsearch for free?
Both have a free tier, so you can try either at no cost before committing.
What is Elasticsearch best used for?
Elasticsearch is most often used for real-time applications, content management, user profiles, mobile backends. Of those, real-time applications and content management are not what ELK Stack is typically brought in for.
What can Elasticsearch do that ELK Stack cannot?
Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. ELK Stack covers Full-text search, Data visualization, Log aggregation, Time-series analytics. Both handle Web support.

Answered from the vendors’ own pages

Elasticsearch: Is Elasticsearch free?

Yes, Elasticsearch can be deployed as free and open-source software for self-managed installations. Elastic Cloud managed service starts at $16.40 per month, with a free 14-day trial available.

Source
Elasticsearch: Can I use Elasticsearch without Kibana?

Yes, Elasticsearch is a search engine independent of Kibana. Kibana is a visualization and analytics tool that works with Elasticsearch but is optional. You can use the Elasticsearch API directly for searching.

Source
Elasticsearch: Does Elasticsearch support real-time indexing?

Elasticsearch indexes data with a refresh interval, typically 1 second. Data becomes searchable after the refresh cycle, making it near-real-time but not instantaneous. This can be configured but impacts performance.

Source
Elasticsearch: What are Elasticsearch's scaling limitations?

Elasticsearch requires careful operational management at scale, including shard balancing, heap sizing, and monitoring. Large clusters can suffer from garbage collection issues and become expensive to operate.

Source
Elasticsearch: Does Elasticsearch support transactions and rollbacks?

No, Elasticsearch does not support ACID transactions or rollbacks. Updates are expensive operations that delete and re-insert documents, making it unsuitable for transactional workloads.

Source
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