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Apache Hadoop vs Supabase

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
Supabase logo

Supabase

Technology

The open source Firebase alternative

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.; Supabase free tier projects auto-pause after 1 week of inactivity
  • They diverge on capability: Apache Hadoop covers HDFS, Supabase covers PostgreSQL database.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Apache Hadoop and Supabase differ
AttributeApache HadoopSupabase
Pricing modelopen-sourceUnknown
PlatformsWebWeb, iOS, Android
FoundedUnknown2020

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 Supabase

  • PostgreSQL database
  • Auto-generated APIs
  • Authentication & authorization
  • Real-time subscriptions
  • Storage
  • Edge functions
  • Vector embeddings
  • Database migrations

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

Supabase

  • Web application backends using Postgres plus auto-generated REST/GraphQL APIsnot Apache Hadoop
  • Mobile app backends via Flutter/Swift/Kotlin client librariesnot Apache Hadoop
  • AI applications using vector/embeddings storagenot Apache Hadoop
  • Authentication with 20+ social providers plus email/passwordnot Apache Hadoop
  • File and media storage (S3-compatible with CDN) and realtime sync over WebSocketsnot 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.

Supabase

  • Free tier projects auto-pause after 1 week of inactivity
  • Free tier hard caps: 500 MB database, 1 GB file storage, 5 GB egress/month, 50,000 monthly active users, max 2 active free projects per organization
  • Pro plan charges usage overages beyond included quotas, e.g. $0.00325 per MAU above 100,000 and $0.125/GB disk above 8 GB
  • SOC2/ISO 27001 certification and HIPAA (add-on) compliance require the $599/month Team plan; not available on the $25/month Pro plan

Pricing, plan by plan

Apache Hadoop

Free

No published plan breakdown. See the Apache Hadoop review.

Supabase

Free
  • FreeFree
    • 50,000 MAU
    • 500MB database
    • 5GB egress
  • Pro$25/month
    • 100,000 MAU
    • 8GB disk
    • 250GB egress
  • Team$599/month
    • SOC2 and ISO 27001
    • HIPAA add-on
    • 28-day log / 14-day backup retention
  • Enterprise$undefined/month
    • Custom limits
    • Dedicated support manager
    • 24/7/365 support

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 Supabase if

  • You need postgresql database.
  • You want to start without paying.
  • You work on Web, iOS, Android.
  • You also want auto-generated apis.
Supabase review

Questions people ask

Is Apache Hadoop or Supabase better?
Neither clearly leads. Apache Hadoop starts at Free and Supabase at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Hadoop or Supabase?
Apache Hadoop starts at Free and Supabase at Free.
Does Apache Hadoop or Supabase run on more platforms?
Apache Hadoop runs on Web. Supabase 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 Supabase is typically brought in for.
What can Apache Hadoop do that Supabase cannot?
Apache Hadoop covers HDFS, YARN, MapReduce, HDFS federation and high availability. Supabase covers PostgreSQL database, Auto-generated APIs, Authentication & authorization, Real-time subscriptions.

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.

Supabase: How much does Supabase cost?

Supabase offers a free tier and three paid plans. Pro starts at $25 per month, Team at $599 per month, and Enterprise requires a custom quote. All pricing is in USD charged monthly.

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.

Supabase: What are Supabase's usage overage fees?

Pro plan users pay $0.00325 per monthly active user over the 100,000 included, and $0.125 per GB for database storage exceeding 8 GB per project. Compute instances cost $10 to $3,730+ per month.

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.

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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