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Technology · head to head

Apache Hadoop vs Drift

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
Drift logo

Drift

Technology

The Conversation Cloud

From
$2500/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.; Drift product is being sunset by Salesloft with successor service (1mind) recommended
  • They diverge on capability: Apache Hadoop covers HDFS, Drift covers Live chat.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Apache Hadoop and Drift differ
AttributeApache HadoopDrift
Starting priceFree$2500/month
Pricing modelopen-sourceUnknown
Free tierYesNo
FoundedUnknown2015

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 Drift

  • Live chat
  • AI chatbots
  • Meeting scheduling
  • Email sequences
  • Visitor intelligence
  • Conversation routing
  • Mobile app
  • 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 Drift
  • Running Spark or Flink under YARN on hardware you already own, using HDFS as the storage layernot Drift
  • Keeping long-lived regulated archives on infrastructure entirely within your own data centres and legal jurisdictionnot Drift
  • Maintaining legacy Hive and MapReduce workloads during a staged migration to a lakehouse or cloud platformnot Drift

Drift

  • Lead qualificationnot Apache Hadoop
  • Meeting bookingnot Apache Hadoop
  • Customer supportnot Apache Hadoop
  • Account-based marketingnot Apache Hadoop
  • Sales accelerationnot 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.

Drift

  • Product is being sunset by Salesloft with successor service (1mind) recommended
  • Mandatory bundling within Salesloft increases cost
  • No free tier available
  • Customer support and knowledge base have been deprioritized
  • Limited to enterprise B2B pipeline generation focus

Pricing, plan by plan

Apache Hadoop

Free

No published plan breakdown. See the Apache Hadoop review.

Drift

$2500/month

No published plan breakdown. See the Drift 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 Drift if

  • You need live chat.
  • You also want ai chatbots.
Drift review

Questions people ask

Is Apache Hadoop or Drift better?
Neither clearly leads. Apache Hadoop starts at Free and Drift at $2500/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Hadoop or Drift?
Apache Hadoop has a free tier; the other does not. Paid plans start at Free for Apache Hadoop and $2500/month for Drift.
Does Apache Hadoop or Drift 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. Drift starts at $2500/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 Drift is typically brought in for.
What can Apache Hadoop do that Drift cannot?
Apache Hadoop covers HDFS, YARN, MapReduce, HDFS federation and high availability. Drift covers Live chat, AI chatbots, Meeting scheduling, Email sequences.

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.

Drift: What is the current status of Drift in 2026?

On March 6, 2026, Clari and Salesloft announced the gradual sunset of Drift's conversational marketing solution, with 1mind named as its exclusive AI successor. Drift remains available but its future is limited.

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.

Drift: How much does Drift cost?

Drift pricing starts around $2,500/month ($30,000/year) for Premium chat-only capabilities, with Enterprise plans exceeding $80,000/year. Drift is bundled within Salesloft and billed annually only.

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.

Drift: What features come with Drift Premium?

Premium plans include live chat widget, custom chatbot flows, meeting scheduling with calendar integration, basic playbooks, email sequences, and standard integrations.

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.

Drift: Does Drift offer a free plan?

No, Drift no longer publicly advertises a free plan as of 2026. All plans require annual billing through Salesloft.

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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