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Elasticsearch vs FaunaDB

Elasticsearch logo

Elasticsearch

Software

The heart of the Elastic Stack for search and analytics

From
Free
Rated
-
Full reviewWebsite
FaunaDB logo

FaunaDB

Software

The distributed serverless database for modern applications

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; FaunaDB the Internet Archive's capture of FaunaDB's homepage on 5 January 2019 confirmed a free 'Try Cloud' tier alongside a self-hosted download, with a separate Pricing page linked but not itself retrievable from the archive within two attempts.
  • They diverge on capability: Elasticsearch covers Full-text Search, FaunaDB covers ACID Transactions.

Where they differ

Only the attributes on which Elasticsearch and FaunaDB actually diverge.

Attributes where Elasticsearch and FaunaDB differ
AttributeElasticsearchFaunaDB
Pricing modelUnknownfreemium
PlatformsLinux, Windows, macOS, Docker, KubernetesWeb
Founded20102012

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 FaunaDB

  • ACID Transactions
  • Document-relational Model
  • GraphQL API
  • Global Distribution
  • Temporal Queries
  • Multi-tenancy
  • Serverless
  • GraphQL

Both cover

  • Web support

What people use each for

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

Elasticsearch

  • Real-time applicationsnot FaunaDB
  • Content managementnot FaunaDB
  • User profilesnot FaunaDB
  • Mobile backends
  • Cachingnot FaunaDB

FaunaDB

  • Serverless applicationsnot Elasticsearch
  • Rapid prototypingnot Elasticsearch
  • Mobile backends
  • JAMstacknot Elasticsearch
  • Microservicesnot Elasticsearch

Both are used for mobile backends, on those jobs the choice comes down to price and fit rather than capability.

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

FaunaDB

  • The Internet Archive's capture of FaunaDB's homepage on 5 January 2019 confirmed a free 'Try Cloud' tier alongside a self-hosted download, with a separate Pricing page linked but not itself retrievable from the archive within two attempts.

Pricing, plan by plan

Elasticsearch

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

FaunaDB

Free
  • FreeFree
    • 100K read ops
    • 50K write ops
    • 1GB storage
  • Pro$25/month
    • Pay per use
    • Priority support
    • Advanced features

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 FaunaDB if

  • You need acid transactions.
  • You want to start without paying.
  • You also want document-relational model.
FaunaDB review

Questions people ask

Is Elasticsearch or FaunaDB better?
Neither clearly leads. Elasticsearch starts at Free and FaunaDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Elasticsearch or FaunaDB?
Elasticsearch starts at Free and FaunaDB at Free.
Does Elasticsearch or FaunaDB run on more platforms?
Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. FaunaDB runs on Web.
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 FaunaDB is typically brought in for.
What can Elasticsearch do that FaunaDB cannot?
Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. FaunaDB covers ACID Transactions, Document-relational Model, GraphQL API, Global Distribution. 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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