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Database & Data Management · head to head

Apache Druid vs Elasticsearch Service

Apache Druid logo

Apache Druid

Database & Data Management

Real-time analytics database for sub-second OLAP queries

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: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; Elasticsearch Service the 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
  • They diverge on capability: Apache Druid covers Real-time Ingestion, Elasticsearch Service covers Full-text search.

Where they differ

Only the attributes on which Apache Druid and Elasticsearch Service actually diverge.

Attributes where Apache Druid and Elasticsearch Service differ
AttributeApache DruidElasticsearch Service
Pricing modelopen-sourceusage-based
PlatformsDocker, Kubernetes, Native deployment (Java-based)Web, Api
CategoryDatabase & Data ManagementLog Management
Founded19992011

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 Apache Druid

  • Real-time Ingestion
  • Sub-second Queries
  • Column-oriented Storage
  • Streaming Integration
  • Approximate Algorithms
  • Flexible Schemas
  • Time-based Partitioning
  • Kafka

Only in Elasticsearch Service

  • Full-text search
  • Scalability
  • High availability
  • Security
  • API
  • Webhooks
  • REST
  • Web support

What people use each for

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

Apache Druid

  • Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot Elasticsearch Service
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Elasticsearch Service
  • Time-series and event analysis at massive scale with columnar storage efficiencynot Elasticsearch Service

Elasticsearch Service

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

Where each one falls short

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

Apache Druid

  • Open-source offering lacks high-availability, distributed architecture, and enterprise security features
  • Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
  • High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment

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

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

Elasticsearch Service

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

Which should you pick?

Choose Apache Druid if

  • You need real-time ingestion.
  • You want to start without paying.
  • You work on Docker, Kubernetes, Native deployment (Java-based).
  • You also want sub-second queries.
Apache Druid 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 Apache Druid or Elasticsearch Service better?
Neither clearly leads. Apache Druid 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, Apache Druid or Elasticsearch Service?
Apache Druid starts at Free and Elasticsearch Service at Free.
Does Apache Druid or Elasticsearch Service run on more platforms?
Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). Elasticsearch Service runs on Web, Api.
Can I use Apache Druid for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Druid best used for?
Apache Druid is most often used for real-time analytics platforms ingesting millions of events per second from streaming sources, applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows), time-series and event analysis at massive scale with columnar storage efficiency. Of those, real-time analytics platforms ingesting millions of events per second from streaming sources and applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows) are not what Elasticsearch Service is typically brought in for.
What can Apache Druid do that Elasticsearch Service cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. Elasticsearch Service covers Full-text search, Scalability, High availability, Security.
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