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Database & Data Management · head to head

Apache Druid vs ELK Stack

Apache Druid logo

Apache Druid

Database & Data Management

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-
Full reviewWebsite
ELK Stack logo

ELK Stack

Log Management

Open Source Search and Log Analytics

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; ELK Stack the free Basic self managed subscription excludes machine learning, alerting, single sign on via SAML or OpenID Connect, LDAP and Active Directory authentication, field and document level security, searchable snapshots and cross cluster replication
  • They diverge on capability: Apache Druid covers Real-time Ingestion, ELK Stack covers Full-text search.

Where they differ

Only the attributes on which Apache Druid and ELK Stack actually diverge.

Attributes where Apache Druid and ELK Stack differ
AttributeApache DruidELK Stack
PlatformsDocker, Kubernetes, Native deployment (Java-based)Web, Api
CategoryDatabase & Data ManagementLog Management
Founded19992011

Identical on both: starting price (Free), pricing model (open-source), 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 ELK Stack

  • Full-text search
  • Data visualization
  • Log aggregation
  • Time-series analytics
  • 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 ELK Stack
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not ELK Stack
  • Time-series and event analysis at massive scale with columnar storage efficiencynot ELK Stack

ELK Stack

  • Centralised log search and analytics over Elasticsearchnot Apache Druid
  • Dashboards and visualisation of machine data in Kibananot Apache Druid
  • Self managing a search and observability cluster on your own hardwarenot 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

ELK Stack

  • The free Basic self managed subscription excludes machine learning, alerting, single sign on via SAML or OpenID Connect, LDAP and Active Directory authentication, field and document level security, searchable snapshots and cross cluster replication
  • Cross cluster operations require the same subscription tier on every cluster involved
  • The 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
  • Three deployment models are priced on three different bases: resource based for Cloud Hosted, usage based for Serverless and licence based on nodes and RAM for self managed
  • Elastic Cloud Serverless does not yet support traffic filtering, cross project search or bring your own key
  • The pricing page publishes no rate for any tier

Pricing, plan by plan

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

ELK Stack

Free
  • FreeFree
    • Full-text search
    • Data visualization
    • Log aggregation

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 ELK Stack if

  • You need full-text search.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want data visualization.
ELK Stack review

Questions people ask

Is Apache Druid or ELK Stack better?
Neither clearly leads. Apache Druid starts at Free and ELK Stack at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Druid or ELK Stack?
Apache Druid starts at Free and ELK Stack at Free.
Does Apache Druid or ELK Stack run on more platforms?
Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). ELK Stack 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 ELK Stack is typically brought in for.
What can Apache Druid do that ELK Stack cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. ELK Stack covers Full-text search, Data visualization, Log aggregation, Time-series analytics.
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