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Apache Hadoop vs Zabbix Cloud

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
Zabbix Cloud logo

Zabbix Cloud

Technology

Zabbix monitoring, fully managed

From
$50/month
Rated
-
Full reviewWebsite

The short version

  • Only Apache Hadoop has a free tier, so it costs nothing to try first.
  • 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.; Zabbix Cloud billed by NVPS (new values per second) rather than by number of monitored hosts, so cost scales with metric volume: Nano starts at $50/month for 50 NVPS and 2xLarge reaches $5,000/month for 10,000 NVPS
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Hadoop and Zabbix Cloud actually diverge.

Attributes where Apache Hadoop and Zabbix Cloud differ
AttributeApache HadoopZabbix Cloud
Starting priceFree$50/month
Pricing modelopen-sourcesubscription
Free tierYesNo

Identical on both: 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 Zabbix Cloud

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

Zabbix Cloud

  • Network performance monitoring and detectionnot Apache Hadoop
  • Server health and performance trackingnot Apache Hadoop
  • Container monitoring in Kubernetes environmentsnot Apache Hadoop
  • Database performance across vendor platformsnot Apache Hadoop
  • VMware and Windows infrastructure observationnot 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.

Zabbix Cloud

  • Billed by NVPS (new values per second) rather than by number of monitored hosts, so cost scales with metric volume: Nano starts at $50/month for 50 NVPS and 2xLarge reaches $5,000/month for 10,000 NVPS
  • The free trial lasts only 5 days before a paid subscription is required
  • Annual subscription is needed to get the 10% discount; the base prices listed are monthly rates

Pricing, plan by plan

Apache Hadoop

Free

No published plan breakdown. See the Apache Hadoop review.

Zabbix Cloud

$50/month
  • Nano$50/month
    • 50 NVPS
    • 10GB storage free
  • Micro$100/month
    • 100 NVPS
  • Small$250/month
    • 250 NVPS
  • Medium$750/month
    • 1000 NVPS

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 Zabbix Cloud if

Nothing in the data separates Zabbix Cloud from Apache Hadoop on the points above - pick on price and on how each one feels to use.

Zabbix Cloud review

Questions people ask

Is Apache Hadoop or Zabbix Cloud better?
Neither clearly leads. Apache Hadoop starts at Free and Zabbix Cloud at $50/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Hadoop or Zabbix Cloud?
Apache Hadoop has a free tier; the other does not. Paid plans start at Free for Apache Hadoop and $50/month for Zabbix Cloud.
Does Apache Hadoop or Zabbix Cloud 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?
Yes. Apache Hadoop has a free tier, so you can try it without paying. Zabbix Cloud starts at $50/month.
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 Zabbix Cloud is typically brought in for.
What can Apache Hadoop do that Zabbix Cloud 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.

Zabbix Cloud: What is the starting price for Zabbix Cloud?

Zabbix Cloud starts at $50 per month for the Nano tier, which includes 50 NVPS and 10GB of free storage. Pricing scales up to $5000 monthly for the 2xLarge tier with 10000 NVPS.

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.

Zabbix Cloud: Is there a free trial for Zabbix Cloud?

Yes, Zabbix Cloud offers a 5-day free trial with no credit card required. After the trial, you save 10% by converting to an annual subscription.

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.

Zabbix Cloud: How does annual billing work with Zabbix Cloud?

Annual subscribers receive a 10% discount on monthly pricing. A pricing calculator is available to estimate costs based on devices, metrics, update intervals, and storage requirements.

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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