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Technology · head to head

Apache Hadoop vs Maze

Apache Hadoop logo

Apache Hadoop

Technology

The original open source framework for distributed storage and batch processing on commodity servers, now largely a legacy platform.

From
Free
Rated
-
Full reviewWebsite
Maze logo

Maze

Technology

The continuous product discovery platform

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Hadoop the free vendor distributions no longer exist: Cloudera's CDH and Hortonworks' HDP have reached end of support and the successor CDP is subscription-only, so running Hadoop without paying now means assembling, testing and security-patching Apache releases yourself.; Maze maze publishes no prices on its pricing page; every plan routes to contact sales, so pricing is by quote only with no published rate or minimum
  • They diverge on capability: Apache Hadoop covers HDFS, Maze covers Prototype testing.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Hadoop and Maze actually diverge.

Attributes where Apache Hadoop and Maze differ
AttributeApache HadoopMaze
Pricing modelopen-sourcesubscription
PlatformsWebWeb, Mobile, Api
FoundedUnknown2018

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Technology).

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 Hadoop

  • HDFS
  • YARN
  • MapReduce
  • HDFS federation and high availability
  • Kerberos security
  • Rack awareness
  • S3A and object store connectors
  • Ecosystem compatibility

Only in Maze

  • Prototype testing
  • Usability testing
  • Card sorting
  • Tree testing
  • Surveys
  • 5-second tests
  • A/B testing
  • Analytics dashboard

What people use each for

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

Apache Hadoop

  • Operating an existing multi-petabyte on-premises estate where data residency or egress costs rule out moving to cloud object storagenot Maze
  • Running Spark or Flink under YARN on hardware you already own, using HDFS as the storage layernot Maze
  • Keeping long-lived regulated archives on infrastructure entirely within your own data centres and legal jurisdictionnot Maze
  • Maintaining legacy Hive and MapReduce workloads during a staged migration to a lakehouse or cloud platformnot Maze

Maze

  • User research and testingnot Apache Hadoop
  • AI-powered moderation featuresnot Apache Hadoop
  • Prototype and website testingnot Apache Hadoop
  • User feedback panelsnot Apache Hadoop

Where each one falls short

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

Apache Hadoop

  • The free vendor distributions no longer exist: Cloudera's CDH and Hortonworks' HDP have reached end of support and the successor CDP is subscription-only, so running Hadoop without paying now means assembling, testing and security-patching Apache releases yourself.
  • HDFS couples storage to compute, so adding capacity means buying whole nodes with CPU and memory you may not need, and the entire industry moved to object storage precisely because it lets the two be bought separately.
  • The NameNode holds all filesystem metadata in memory, so a cluster with tens of millions of small files exhausts heap long before it exhausts disk, and the remedy is a file compaction job that somebody has to write, schedule and own indefinitely.
  • Operating it is a distinct specialism covering Kerberos, YARN queue tuning, JVM garbage collection and the compatibility matrix between Hive, HBase, Ranger, Oozie and the core, and an upgrade touches all of them at once rather than one at a time.
  • MapReduce is maintained for compatibility rather than actively developed, and new work goes to Spark or Flink, so a job written against MapReduce today is written against an API that will not gain anything further.
  • Hiring is against you: the talent pool has moved to cloud data platforms over the past decade, so a Hadoop estate increasingly depends on a small number of individuals, which makes it a succession risk before it is a technical one.

Maze

  • Maze publishes no prices on its pricing page; every plan routes to contact sales, so pricing is by quote only with no published rate or minimum
  • The AI study builder, AI moderated interviews and moderated interview studies are Enterprise only
  • Mobile testing and testing through the Maze mobile app are Enterprise only
  • Interview scheduling, card sorting and information architecture testing are Enterprise only
  • Role-based access, SSO and compliance controls are Enterprise only
  • Panel recruitment is available on all plans but with stated limits, and prototype testing carries limits below Enterprise
  • Qualitative analysis of clip recordings, interview transcription and automated theme analysis are Enterprise only

Pricing, plan by plan

Apache Hadoop

Free

No published plan breakdown. See the Apache Hadoop review.

Maze

Free
  • FreeFree
    • 1 active project
    • Preview link testing
    • Basic analytics
  • Starter$75/month
    • 3 active projects
    • Unlimited responses
    • Advanced analytics
  • Team$150/month
    • Unlimited projects
    • Team collaboration
    • Custom branding
  • Enterprise$undefined/month
    • Everything in Team
    • SSO
    • Dedicated CSM

Which should you pick?

Choose Apache Hadoop if

  • You need hdfs.
  • You want to start without paying.
  • You also want yarn.
Apache Hadoop review

Choose Maze if

  • You need prototype testing.
  • You want to start without paying.
  • You work on Web, Mobile, Api.
  • You also want usability testing.
Maze review

Questions people ask

Is Apache Hadoop or Maze better?
Neither clearly leads. Apache Hadoop starts at Free and Maze at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Hadoop or Maze?
Apache Hadoop starts at Free and Maze at Free.
Does Apache Hadoop or Maze run on more platforms?
Apache Hadoop runs on Web. Maze runs on Web, Mobile, Api.
Can I use Apache Hadoop for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Hadoop best used for?
Apache Hadoop is most often used for operating an existing multi-petabyte on-premises estate where data residency or egress costs rule out moving to cloud object storage, running spark or flink under yarn on hardware you already own, using hdfs as the storage layer, keeping long-lived regulated archives on infrastructure entirely within your own data centres and legal jurisdiction, maintaining legacy hive and mapreduce workloads during a staged migration to a lakehouse or cloud platform. Of those, operating an existing multi-petabyte on-premises estate where data residency or egress costs rule out moving to cloud object storage and running spark or flink under yarn on hardware you already own, using hdfs as the storage layer are not what Maze is typically brought in for.
What can Apache Hadoop do that Maze cannot?
Apache Hadoop covers HDFS, YARN, MapReduce, HDFS federation and high availability. Maze covers Prototype testing, Usability testing, Card sorting, Tree testing.

Answered from the vendors’ own pages

Apache Hadoop: Is Hadoop dead?

No, but it is legacy. Large on-premises HDFS estates still run and are still supported, and Spark and Flink still run on YARN. What has ended is Hadoop as a default choice for new platforms, which now start on object storage.

Maze: Does Maze offer a free trial or freemium tier?

Maze site indicates 'Try Maze for free' option, suggesting free tier or trial availability, but specific terms and limitations not stated on main page.

Source
Apache Hadoop: Can I still get a free packaged distribution?

Not a maintained one. CDH and HDP reached end of support and Cloudera's CDP is a paid subscription. The remaining free route is building and patching Apache releases yourself, which is a real engineering commitment.

Maze: Can I request a custom demo if standard plans don't fit my needs?

Yes, Maze offers 'Request a demo' option, indicating willingness to discuss custom requirements and potentially custom pricing arrangements.

Source
Apache Hadoop: Do I need Hadoop to run Spark?

No. Spark runs standalone, on Kubernetes and on managed cloud services, and reads object storage directly. Many Spark deployments include Hadoop client libraries for the filesystem connectors without running a Hadoop cluster at all.

Maze: What testing capabilities does Maze include in paid plans?

Maze features AI Moderator, prototype testing, panel recruitment, and website testing capabilities across plans, but specific feature tiers and pricing not disclosed publicly.

Source
Apache Hadoop: What replaced HDFS?

Object storage, typically S3 or a compatible system, combined with an open table format such as Apache Iceberg or Delta Lake. Apache Ozone exists as an object store within the Hadoop ecosystem for organisations staying on-premises.

Apache Hadoop: Is it cheaper than the cloud?

It can be at multi-petabyte scale with steady, predictable utilisation, particularly where egress charges would be large. Include the staffing cost honestly, because the specialist operators a Hadoop cluster requires are scarce and therefore expensive.

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