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Database & Data Management · head to head

Apache Druid vs Hive

Apache Druid logo

Apache Druid

Database & Data Management

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-
Full reviewWebsite
Hive logo

Hive

Database & Data Management

Project management built for speed

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Apache Druid has a free tier, so it costs nothing to try first.
  • Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; Hive the free plan is capped at 200 MB of storage
  • They diverge on capability: Apache Druid covers Real-time Ingestion, Hive covers Tasks.

Where they differ

Only the attributes on which Apache Druid and Hive actually diverge.

Attributes where Apache Druid and Hive differ
AttributeApache DruidHive
Starting priceFreeOn request
Pricing modelopen-sourcefreemium
Free tierYesNo
PlatformsDocker, Kubernetes, Native deployment (Java-based)Web, Ios, Android, Desktop
CategoryDatabase & Data ManagementUnknown
Founded19992015

Identical on both: 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 Hive

  • Tasks
  • Gantt view
  • Kanban
  • Time tracking
  • Forms
  • Slack
  • Zoom
  • Google Drive

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 Hive
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Hive
  • Time-series and event analysis at massive scale with columnar storage efficiencynot Hive

Hive

  • Project and task management with multiple project viewsnot Apache Druid
  • Coordinating work, proofing and resourcing for teamsnot 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

Hive

  • The free plan is capped at 200 MB of storage
  • The Starter plan at $5 per user per month is limited to 10 projects
  • Eight capabilities are sold as $5 per user add ons on the Teams plan, including CRM, timesheets, proofing, resourcing, advanced dashboards, external users and SSO
  • Buying SSO plus a few of those add ons therefore costs more than the $12 base seat itself
  • AI credits are metered monthly at 1,000, 3,000 and 5,000 by plan

Pricing, plan by plan

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

Hive

On request
  • FreeFree
    • Basic features
    • 10 users
  • Teams$12/month
    • Unlimited users
    • Time tracking
    • Automations

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 Hive if

  • You need tasks.
  • You work on Web, Ios, Android, Desktop.
  • You also want gantt view.
Hive review

Questions people ask

Is Apache Druid or Hive better?
Neither clearly leads. Apache Druid starts at Free and Hive at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Druid or Hive?
Apache Druid has a free tier; the other does not. Paid plans start at Free for Apache Druid and On request for Hive.
Does Apache Druid or Hive run on more platforms?
Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). Hive runs on Web, Ios, Android, Desktop.
Can I use Apache Druid for free?
Yes. Apache Druid has a free tier, so you can try it without paying. Hive starts at On request.
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 Hive is typically brought in for.
What can Apache Druid do that Hive cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. Hive covers Tasks, Gantt view, Kanban, Time tracking.
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