Softwr

Database & Data Management · head to head

ClickHouse vs Elasticsearch Service

ClickHouse logo

ClickHouse

Database & Data Management

Fast open-source column-oriented database for real-time analytics

From
Free
Rated
-
Full reviewWebsite
Elasticsearch Service logo

Elasticsearch Service

Log Management

Managed Elasticsearch Cloud Service

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; Elasticsearch Service the 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
  • They diverge on capability: ClickHouse covers Column-oriented Storage, Elasticsearch Service covers Full-text search.

Where they differ

Only the attributes on which ClickHouse and Elasticsearch Service actually diverge.

Attributes where ClickHouse and Elasticsearch Service differ
AttributeClickHouseElasticsearch Service
Pricing modelUnknownusage-based
PlatformsLinux, macOS, Windows (via Docker)Web, Api
CategoryDatabase & Data ManagementLog Management
Founded20212011

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

  • Column-oriented Storage
  • Real-time Analytics
  • SQL Support
  • Linear Scalability
  • Data Compression
  • Vectorized Query Execution
  • Approximate Calculations
  • Kafka

Only in Elasticsearch Service

  • Full-text search
  • Scalability
  • High availability
  • Security
  • 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.

ClickHouse

  • Business intelligencenot Elasticsearch Service
  • Data warehousingnot Elasticsearch Service
  • Real-time analyticsnot Elasticsearch Service
  • Reportingnot Elasticsearch Service
  • Machine learningnot Elasticsearch Service

Elasticsearch Service

  • Managed Elasticsearch without running the clusternot ClickHouse
  • Log and observability data storage and searchnot ClickHouse
  • Full-text search behind an applicationnot ClickHouse
  • Deployments needing a specific cloud region across AWS, Azure or GCPnot ClickHouse

Where each one falls short

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

ClickHouse

  • Limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
  • Requires upfront schema design discipline with MergeTree engine choices and sort/partition keys
  • Experimental vector search support, not production-ready for vector operations
  • Different query syntax from standard SQL requiring migration planning
  • Limited JOIN capabilities compared to traditional relational databases
  • Migration complexity with 2-4 weeks estimated for data type mapping and query translation

Elasticsearch Service

  • The 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
  • Serverless does not yet support traffic filtering, cross-project search or bring-your-own-key encryption
  • Serverless runs on AWS, GCP and Azure only, against 60 regions for the hosted option
  • Per-unit prices are not published; hosted is resource-based and serverless usage-based

Pricing, plan by plan

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

Elasticsearch Service

Free
  • FreeFree
    • Full-text search
    • Scalability
    • High availability

Which should you pick?

Choose ClickHouse if

  • You need column-oriented storage.
  • You want to start without paying.
  • You work on Linux, macOS, Windows (via Docker).
  • You also want real-time analytics.
ClickHouse review

Choose Elasticsearch Service if

  • You need full-text search.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want scalability.
Elasticsearch Service review

Questions people ask

Is ClickHouse or Elasticsearch Service better?
Neither clearly leads. ClickHouse starts at Free and Elasticsearch Service at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClickHouse or Elasticsearch Service?
ClickHouse starts at Free and Elasticsearch Service at Free.
Does ClickHouse or Elasticsearch Service run on more platforms?
ClickHouse runs on Linux, macOS, Windows (via Docker). Elasticsearch Service runs on Web, Api.
Can I use ClickHouse for free?
Both have a free tier, so you can try either at no cost before committing.
What is ClickHouse best used for?
ClickHouse is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what Elasticsearch Service is typically brought in for.
What can ClickHouse do that Elasticsearch Service cannot?
ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Elasticsearch Service covers Full-text search, Scalability, High availability, Security. Both handle Web support.

Answered from the vendors’ own pages

ClickHouse: What is ClickHouse best used for?

ClickHouse is optimized for analytical workloads on large datasets. It excels at fast aggregations and queries, being 10-100x faster than PostgreSQL on large aggregations.

Source
ClickHouse: Does ClickHouse support transactions?

ClickHouse has limited transaction support and expensive UPDATE/DELETE operations. It is not suitable for transactional workloads requiring strict ACID guarantees.

Source
ClickHouse: How does ClickHouse compare to PostgreSQL?

ClickHouse is 10-100x faster for analytics but PostgreSQL is better for transactional workloads. Many teams use both: PostgreSQL for writes via MaterializedPostgreSQL replication to ClickHouse for analytics.

Source
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on ClickHouse

More on Elasticsearch Service

Keep looking

Other head to heads