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Database & Data Management · head to head

Elasticsearch vs Vitess

Elasticsearch logo

Elasticsearch

Database & Data Management

The heart of the Elastic Stack for search and analytics

From
Free
Rated
-
Full reviewWebsite
Vitess logo

Vitess

Database & Data Management

Scalable database clustering system for horizontal scaling of MySQL

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; Vitess vTGate scatter queries without sharding key incur significant performance penalties
  • They diverge on capability: Elasticsearch covers Full-text Search, Vitess covers Horizontal Sharding.

Where they differ

Only the attributes on which Elasticsearch and Vitess actually diverge.

Attributes where Elasticsearch and Vitess differ
AttributeElasticsearchVitess
PlatformsLinux, Windows, macOS, Docker, KubernetesLinux, macOS, Docker, Kubernetes

Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated), category (Database & Data Management), founded (2010).

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 Vitess

  • Horizontal Sharding
  • Connection Pooling
  • Query Routing
  • Online Schema Changes
  • Shard Management
  • Replication Management
  • Automated Failover
  • MySQL

Both cover

  • Linux support
  • Docker support

What people use each for

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

Elasticsearch

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

Vitess

  • Transaction processingnot Elasticsearch
  • Data storagenot Elasticsearch
  • Application backendnot Elasticsearch
  • Reportingnot Elasticsearch
  • Data analyticsnot 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

Vitess

  • VTGate scatter queries without sharding key incur significant performance penalties
  • Foreign key constraints not enforced across shards, requiring application-level integrity handling
  • Single primary per keyspace limits multi-region write capabilities
  • Distributed transactions without proper sharding key routing suffer performance degradation

Pricing, plan by plan

Elasticsearch

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

Vitess

Free

No published plan breakdown. See the Vitess review.

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 Vitess if

  • You need horizontal sharding.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Kubernetes.
  • You also want connection pooling.
Vitess review

Questions people ask

Is Elasticsearch or Vitess better?
Neither clearly leads. Elasticsearch starts at Free and Vitess at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Elasticsearch or Vitess?
Elasticsearch starts at Free and Vitess at Free.
Does Elasticsearch or Vitess run on more platforms?
Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. Vitess runs on Linux, macOS, Docker, Kubernetes.
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 Vitess is typically brought in for.
What can Elasticsearch do that Vitess cannot?
Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. Vitess covers Horizontal Sharding, Connection Pooling, Query Routing, Online Schema Changes. Both handle Linux support, Docker 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
Vitess: Is Vitess free to use?

Yes. Vitess is completely free and open source under the Apache 2.0 license. It is a graduated CNCF project with no licensing costs or pricing tiers.

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
Vitess: What databases does Vitess support?

Vitess supports MySQL and MariaDB as backend databases. It acts as a middleware layer that adds sharding and orchestration capabilities on top of these databases.

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
Vitess: Does Vitess require Kubernetes to run?

No. Vitess can run on Kubernetes using the Vitess Operator, but it can also be deployed on traditional infrastructure. Kubernetes integration is optional and provides additional automation benefits.

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
Vitess: How does Vitess handle cross-shard transactions?

Vitess supports distributed transactions across shards, but they require queries to be routed through the sharding key. Transactions without a proper sharding key can result in slower performance.

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
Vitess: Does Vitess enforce foreign key constraints?

Vitess does not enforce foreign key constraints across shards by default. Referential integrity must be managed at the application layer, though per-database support can be enabled with limitations.

Source
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