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Apache Hadoop vs Nagios XI

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
Nagios XI logo

Nagios XI

Technology

Enterprise-grade monitoring solution with advanced visualization and reporting

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.; Nagios XI free Edition caps at 7 nodes or 100 services, whichever limit is hit first
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Hadoop and Nagios XI actually diverge.

Attributes where Apache Hadoop and Nagios XI differ
AttributeApache HadoopNagios XI
Pricing modelopen-sourceone-time

Identical on both: starting price (Free), free tier (Yes), platforms (Web), 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 Nagios XI

Nothing recorded that Apache Hadoop does not also cover.

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

Nagios XI

  • Monitoring servers, networks, and IoT devices for status changesnot Apache Hadoop
  • Detecting infrastructure problems before they cause outagesnot Apache Hadoop
  • Creating customizable dashboards for real-time IT visibilitynot Apache Hadoop
  • Tracking SLA compliance and generating capacity planning reportsnot 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.

Nagios XI

  • Free Edition caps at 7 nodes or 100 services, whichever limit is hit first
  • Standard Edition is licensed per node count, starting at $2,595 for 100 nodes and rising to $14,995 for 1,000 nodes
  • Enterprise Edition, which adds capacity planning and SLA reporting, is sold as an add-on starting at $4,690 for 100 nodes on top of the base license
  • Sitewide Edition for large distributed environments has no published price and requires contacting sales

Pricing, plan by plan

Apache Hadoop

Free

No published plan breakdown. See the Apache Hadoop review.

Nagios XI

Free
  • Free EditionFree
    • 7 nodes OR 100 services limit
    • Self-supported only
  • Standard 100-Node$2595/perpetual
    • 100 nodes
    • First year includes support and upgrades
  • Standard 500-Node$8295/perpetual
    • 500 nodes
    • First year includes support and upgrades
  • Standard 1000-Node$14995/perpetual
    • 1,000 nodes
    • First year includes support and upgrades

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 Nagios XI if

  • You want to start without paying.
Nagios XI review

Questions people ask

Is Apache Hadoop or Nagios XI better?
Neither clearly leads. Apache Hadoop starts at Free and Nagios XI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Hadoop or Nagios XI?
Apache Hadoop starts at Free and Nagios XI at Free.
Does Apache Hadoop or Nagios XI run on more platforms?
Both run on Web, so platform support will not decide this one for you.
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 Nagios XI is typically brought in for.
What can Apache Hadoop do that Nagios XI cannot?
Apache Hadoop covers HDFS, YARN, MapReduce, HDFS federation and high availability.

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.

Nagios XI: What is Nagios XI's pricing model?

Nagios XI uses perpetual licensing with one-time purchase costs based on node count, ranging from $2,595 for 100 nodes to $14,995 for 1,000 nodes.

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.

Nagios XI: Is there a free version of Nagios XI?

Yes, Nagios XI Free Edition is available at no cost with a limit of 7 nodes or 100 services, whichever is reached first.

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.

Nagios XI: What is included with Nagios XI licensing?

Initial licenses include one year of free version upgrades, up to 10 support cases, and support portal access. Each license permits three installations: production, backup/failover, and testing/development.

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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