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Database & Data Management · head to head

Elasticsearch vs Heroku

Elasticsearch logo

Elasticsearch

Database & Data Management

The heart of the Elastic Stack for search and analytics

From
Free
Rated
-
Full reviewWebsite
Heroku logo

Heroku

Cloud & Infrastructure

Cloud Application Platform

From
$7/month
Rated
-
Full reviewWebsite

The short version

  • Only Elasticsearch has a free tier, so it costs nothing to try first.
  • Each has a real cost: Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements; Heroku there is no free dyno tier; the cheapest Eco dyno is $5 per month
  • They diverge on capability: Elasticsearch covers Full-text Search, Heroku covers Git-based deployment.

Where they differ

Only the attributes on which Elasticsearch and Heroku actually diverge.

Attributes where Elasticsearch and Heroku differ
AttributeElasticsearchHeroku
Starting priceFree$7/month
Pricing modelUnknownsubscription
Free tierYesNo
PlatformsLinux, Windows, macOS, Docker, KubernetesWeb, Api, Workers
CategoryDatabase & Data ManagementCloud & Infrastructure
Founded20102007

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 Elasticsearch

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

Only in Heroku

  • Git-based deployment
  • Buildpacks
  • Dynos (containers)
  • Add-ons marketplace
  • Postgres database
  • Environment variables
  • Logging
  • API

Both cover

  • Web support

What people use each for

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

Elasticsearch

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

Heroku

  • Deploying and scaling web applications with git push and no server administrationnot Elasticsearch
  • Running managed Postgres, Redis and Kafka as attached data servicesnot Elasticsearch
  • Isolated production environments in a Private Space for regulated workloadsnot 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

Heroku

  • There is no free dyno tier; the cheapest Eco dyno is $5 per month
  • Eco dynos sleep after 30 minutes of inactivity, are restricted to personal accounts and allow only 2 process types
  • Free SSL and 10 process types start at the Basic dyno at $7 per month
  • Private and Shield dyno types require a Private Space, which is billed on top of the dynos
  • Private Space dynos start at $250 per month for Private-M and $500 per month for Private-L
  • Dyno prices are per dyno per month, so an app with several process types multiplies the bill

Pricing, plan by plan

Elasticsearch

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

Heroku

$7/month
  • Hobby$7/month
    • 512MB RAM
    • Shared CPU
    • 1 web dyno
  • Standard$50/month
    • 512MB RAM
    • Dedicated CPU
    • Automatic scaling

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 Heroku if

  • You need git-based deployment.
  • You work on Web, Api, Workers.
  • You also want buildpacks.
Heroku review

Questions people ask

Is Elasticsearch or Heroku better?
Neither clearly leads. Elasticsearch starts at Free and Heroku at $7/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Elasticsearch or Heroku?
Elasticsearch has a free tier; the other does not. Paid plans start at Free for Elasticsearch and $7/month for Heroku.
Does Elasticsearch or Heroku run on more platforms?
Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. Heroku runs on Web, Api, Workers.
Can I use Elasticsearch for free?
Yes. Elasticsearch has a free tier, so you can try it without paying. Heroku starts at $7/month.
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 Heroku is typically brought in for.
What can Elasticsearch do that Heroku cannot?
Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. Heroku covers Git-based deployment, Buildpacks, Dynos (containers), Add-ons marketplace. 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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