Softwr

Log Management · head to head

Elastic Stack vs Elasticsearch

Elastic Stack logo

Elastic Stack

Log Management

Search, Observability, and Security Solutions

From
On request
Rated
-
Elasticsearch logo

Elasticsearch

Database & Data Management

The heart of the Elastic Stack for search and analytics

From
Free
Rated
-

The short version

  • Only Elasticsearch has a free tier, so it costs nothing to try first.
  • Each has a real cost: Elastic Stack self-managed deployment requires licensing based on node count and RAM usage; Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • They diverge on capability: Elastic Stack covers Full-text search, Elasticsearch covers Full-text Search.

Where they differ

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

Attributes where Elastic Stack and Elasticsearch differ
AttributeElastic StackElasticsearch
Starting priceOn requestFree
Pricing modelsubscriptionUnknown
Free tierNoYes
PlatformsCloud-hosted, Self-managed, Docker, Kubernetes (ECK)Linux, Windows, macOS, Docker, Kubernetes
CategoryLog ManagementDatabase & Data Management
Founded20112010

Identical on both: user rating (Not yet rated).

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 Elastic Stack

  • Full-text search
  • Log analytics
  • Security monitoring
  • Alerting
  • API
  • Webhooks
  • REST
  • Api support

Only in Elasticsearch

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

Both cover

  • Web support

What people use each for

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

Elastic Stack

  • Distributed search and analytics engine for production-scale workloadsnot Elasticsearch
  • Full-text search and vector search with approximate nearest neighbour supportnot Elasticsearch
  • Security event tracking with field-level and document-level access controlnot Elasticsearch
  • Machine learning capabilities including anomaly detection and forecastingnot Elasticsearch

Elasticsearch

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

Where each one falls short

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

Elastic Stack

  • Self-managed deployment requires licensing based on node count and RAM usage
  • Serverless option has pending features including traffic filtering and bring-your-own-key encryption
  • Hosted deployment requires custom resource configuration for cluster management
  • Pricing models differ significantly across Hosted, Serverless, and Self-managed options

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

Pricing, plan by plan

Elastic Stack

On request

No published plan breakdown. See the Elastic Stack review.

Elasticsearch

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

Which should you pick?

Choose Elastic Stack if

  • You need full-text search.
  • You work on Cloud-hosted, Self-managed, Docker, Kubernetes (ECK).
  • You also want log analytics.

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.

Questions people ask

Is Elastic Stack or Elasticsearch better?
Neither clearly leads. Elastic Stack starts at On request and Elasticsearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Elastic Stack or Elasticsearch?
Elasticsearch has a free tier; the other does not. Paid plans start at On request for Elastic Stack and Free for Elasticsearch.
Does Elastic Stack or Elasticsearch run on more platforms?
Elastic Stack runs on Cloud-hosted, Self-managed, Docker, Kubernetes (ECK). Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes.
Can I use Elasticsearch for free?
Yes. Elasticsearch has a free tier, so you can try it without paying. Elastic Stack starts at On request.
What is Elastic Stack best used for?
Elastic Stack is most often used for distributed search and analytics engine for production-scale workloads, full-text search and vector search with approximate nearest neighbour support, security event tracking with field-level and document-level access control, machine learning capabilities including anomaly detection and forecasting. Of those, distributed search and analytics engine for production-scale workloads and full-text search and vector search with approximate nearest neighbour support are not what Elasticsearch is typically brought in for.
What can Elastic Stack do that Elasticsearch cannot?
Elastic Stack covers Full-text search, Log analytics, Security monitoring, Alerting. Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. 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

Related pages

Other head to heads