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Databases · head to head

Apache Druid vs Hookdeck

Apache Druid logo

Apache Druid

Databases

Real-time analytics database for sub-second OLAP queries

From
Free
Free plan
Yes
Visit Apache DruidFull review
Hookdeck logo

Hookdeck

Developer Tools

Event gateway that receives, queues, retries and replays inbound webhooks

From
Free
Free plan
Yes
Visit HookdeckFull review

The short version

  • Apache Druid is a high performance, real-time analytics database.
  • Apache Druid is free; Hookdeck starts at $39/mo.
  • Only Apache Druid lists real-time Ingestion; only Hookdeck lists ingest and persist.
  • Where Apache Druid falls short: open-source offering lacks high-availability, distributed architecture, and enterprise security features.
  • Where Hookdeck falls short: pricing meters delivered events, so fan-out multiplies the bill: one inbound event routed to four services counts as four deliveries.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

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

Attributes where Apache Druid and Hookdeck differ
AttributeApache DruidHookdeck
Pricing modelOpen-sourcePer month by delivered event count
PlatformsSelf-hosted, APIWeb, Linux, macOS, Windows
CategoryDatabasesDeveloper Tools

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

Not yet recorded: founded for Hookdeck.

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 Hookdeck

  • Ingest and persist
  • Automatic retries
  • Filters and fan-out
  • Transformations
  • Local development CLI
  • Rate limiting

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

Hookdeck

  • A payments integration where losing a Stripe event during a deploy causes an order to go unfulfillednot Apache Druid
  • Fanning one provider webhook out to several internal services without each subscribing separatelynot Apache Druid
  • Debugging a partner integration by replaying the exact failing payload after shipping a fixnot Apache Druid
  • Receiving production-shaped webhooks on a developer laptop without running a public tunnelnot 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

Hookdeck

  • Pricing meters delivered events, so fan-out multiplies the bill: one inbound event routed to four services counts as four deliveries
  • Free-tier retention is three days, which is shorter than the time it typically takes to notice a failing integration, so the payloads needed for a replay are often already gone
  • It becomes a single point of failure in front of every third-party integration, and an outage there means every provider webhook queues or fails at once
  • The transformation layer runs JavaScript in a constrained environment, so anything that needs a database lookup or an external call has to happen downstream instead
  • For a team already running Kafka or SQS the value is mostly the console and the replay UI, which is a hard cost to justify against infrastructure they already operate

Pricing, plan by plan

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

Hookdeck

Free
  • DeveloperFree
    • Up to ten thousand events per month
    • Three-day retention
    • One user
  • Team$39/mo
    • Ten thousand events included
    • Unlimited users
    • Pay as you go metering above the included events
  • Growth$499/mo
    • Ten thousand events included plus metered usage
    • Thirty-day retention
    • Uptime and latency SLAs
  • EnterpriseOn request
    • Negotiated event volume
    • Custom retention
    • Dedicated support

Which should you pick?

Choose Apache Druid if

  • You need real-time ingestion.
  • You want to start without paying.
  • You work on Self-hosted, API.
  • You also want sub-second queries.
Apache Druid review

Choose Hookdeck if

  • You need ingest and persist.
  • You want to start without paying.
  • You work on Web, Linux, macOS, Windows.
  • You also want automatic retries.
Hookdeck review

Questions people ask

Is Apache Druid or Hookdeck better?
Neither clearly leads. Apache Druid starts at Free and Hookdeck at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Druid or Hookdeck?
Apache Druid starts at Free and Hookdeck at Free.
Does Apache Druid or Hookdeck run on more platforms?
Apache Druid runs on Self-hosted, API. Hookdeck runs on Web, Linux, macOS, Windows.
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 Hookdeck is typically brought in for.
What can Apache Druid do that Hookdeck cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. Hookdeck covers Ingest and persist, Automatic retries, Filters and fan-out, Transformations.

Answered from the vendors’ own pages

Apache Druid: Is Apache Druid free to use?

Apache Druid is an open-source project with no licensing fees. It is licensed under CC BY-SA 4.0, and the Druid name and logo are trademarks of The Apache Software Foundation.

Source
Hookdeck: Is there a free plan?

Yes, ten thousand events a month with three-day retention and one user.

Apache Druid: Can I use Apache Druid for commercial purposes?

Yes, Apache Druid is open-source software available for commercial use at no cost. The CC BY-SA 4.0 license permits commercial deployment.

Source
Hookdeck: How is usage counted?

By delivered events, so a single inbound webhook fanned out to three destinations counts as three.

Apache Druid: Where do I find pricing for commercial support or services?

No pricing or support tiers are published on the Apache Druid homepage. For commercial support options, contact the Apache Druid community or consult additional resources beyond the project website.

Source
Hookdeck: Can I replay a failed webhook?

Yes, individually or in bulk from the console, with the original payload.

Hookdeck: Does it work for outbound webhooks too?

Yes, the same queueing, retry and observability applies to webhooks you send.

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