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Apache Hadoop vs Monday.com

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
Monday.com logo

Monday.com

Technology

A platform built for a new way of working

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.; Monday.com expensive at scale with 3-seat minimum and costs increasing quickly with team size
  • They diverge on capability: Apache Hadoop covers HDFS, Monday.com covers Customizable workflows.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Hadoop and Monday.com actually diverge.

Attributes where Apache Hadoop and Monday.com differ
AttributeApache HadoopMonday.com
Pricing modelopen-sourceUnknown
PlatformsWebWeb, iOS, Android
FoundedUnknown2012

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 Monday.com

  • Customizable workflows
  • Multiple views (Kanban, Gantt, Calendar)
  • Automation engine
  • Real-time collaboration
  • Mobile apps
  • Forms
  • Dashboards
  • Workload management

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 Monday.com
  • Running Spark or Flink under YARN on hardware you already own, using HDFS as the storage layernot Monday.com
  • Keeping long-lived regulated archives on infrastructure entirely within your own data centres and legal jurisdictionnot Monday.com
  • Maintaining legacy Hive and MapReduce workloads during a staged migration to a lakehouse or cloud platformnot Monday.com

Monday.com

  • Project managementnot Apache Hadoop
  • Sales CRMnot Apache Hadoop
  • Marketing campaignsnot Apache Hadoop
  • HR processesnot Apache Hadoop
  • IT ticketingnot 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.

Monday.com

  • Expensive at scale with 3-seat minimum and costs increasing quickly with team size
  • Limited free plan with only 2 users and 3 boards
  • Mobile app provides reduced functionality compared to web version
  • Email CC/BCC limitations for looping in stakeholders without full board access
  • WorkForms can only create new items, not update existing ones

Pricing, plan by plan

Apache Hadoop

Free

No published plan breakdown. See the Apache Hadoop review.

Monday.com

Free

No published plan breakdown. See the Monday.com review.

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 Monday.com if

  • You need customizable workflows.
  • You want to start without paying.
  • You work on Web, iOS, Android.
  • You also want multiple views (kanban, gantt, calendar).
Monday.com review

Questions people ask

Is Apache Hadoop or Monday.com better?
Neither clearly leads. Apache Hadoop starts at Free and Monday.com at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Hadoop or Monday.com?
Apache Hadoop starts at Free and Monday.com at Free.
Does Apache Hadoop or Monday.com run on more platforms?
Apache Hadoop runs on Web. Monday.com runs on Web, iOS, Android.
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 Monday.com is typically brought in for.
What can Apache Hadoop do that Monday.com cannot?
Apache Hadoop covers HDFS, YARN, MapReduce, HDFS federation and high availability. Monday.com covers Customizable workflows, Multiple views (Kanban, Gantt, Calendar), Automation engine, Real-time collaboration.

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.

Monday.com: Does Monday.com have a free plan?

Yes, Monday.com offers a free plan limited to 2 users and 3 boards. Paid plans start at around $9 per seat per month and require a minimum of 3 seats.

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.

Monday.com: Can I use Monday.com on mobile?

Monday.com is available on iOS and Android, but the mobile app lacks the full depth of the desktop version, making complex board management more difficult on the go.

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.

Monday.com: Does Monday.com support offline work?

Monday.com is primarily a cloud-based platform and does not have robust offline capabilities. You need an internet connection to access and edit boards.

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.

Monday.com: What is Monday.com's pricing based on?

Pricing is based on the number of seats and which product module you choose (Work Management, Sales CRM, Dev, or Service). Each module has different features and pricing.

Source
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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