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Technology · head to head

Jira vs Apache Spark

Jira logo

Jira

Technology

The #1 software development tool used by agile teams

From
Free
Rated
-
Full reviewWebsite
A

Apache Spark

Technology

A multi-language engine for data engineering, data science, and machine learning

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Jira free tier strictly limited to 10 users with only 2 GB storage; unsuitable for growing teams; Apache Spark licensed under Apache License 2.0 per spark.apache.org; as open source software it has no paid tier or vendor price to compare

Where they differ

Only the attributes on which Jira and Apache Spark actually diverge.

Attributes where Jira and Apache Spark differ
AttributeJiraApache Spark
Pricing modelfreemiumopen-source
PlatformsCloud, WebWeb
Founded2002Unknown

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 Jira

  • Scrum boards
  • Kanban boards
  • Roadmaps
  • Agile reporting
  • Custom workflows
  • Issue tracking
  • Sprint planning
  • DevOps integration

Only in Apache Spark

Nothing recorded that Jira does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Jira

  • Software development teams leveraging AI-powered Rovo for trend analysis and bottleneck identificationnot Apache Spark
  • Organisations requiring integrated issue tracking, project planning, and team alignment toolsnot Apache Spark
  • Enterprises with 1,000+ users needing advanced analytics, security controls, and custom deployment optionsnot Apache Spark

Apache Spark

No use cases recorded yet. See the Apache Spark review.

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Jira

  • Free tier strictly limited to 10 users with only 2 GB storage; unsuitable for growing teams
  • Per-seat pricing ($7.91–$14.54/user/month) accumulates significantly for large teams; 50-person team costs £3,955–7,270 monthly
  • Enterprise tier requires annual billing and sales contact; no transparent per-user pricing available
  • Premium features (cross-team planning, advanced automation) available only at $14.54/user/month tier or above

Apache Spark

  • Licensed under Apache License 2.0 per spark.apache.org; as open source software it has no paid tier or vendor price to compare
  • Installation on a laptop requires pip install pyspark or a Docker image per spark.apache.org; there is no hosted single-click deployment offered by the Apache project itself

Pricing, plan by plan

Jira

Free

No published plan breakdown. See the Jira review.

Apache Spark

Free

No published plan breakdown. See the Apache Spark review.

Which should you pick?

Choose Jira if

  • You need scrum boards.
  • You want to start without paying.
  • You work on Cloud, Web.
  • You also want kanban boards.
Jira review

Choose Apache Spark if

  • You want to start without paying.
Apache Spark review

Questions people ask

Is Jira or Apache Spark better?
Neither clearly leads. Jira starts at Free and Apache Spark at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jira or Apache Spark?
Jira starts at Free and Apache Spark at Free.
Does Jira or Apache Spark run on more platforms?
Jira runs on Cloud, Web. Apache Spark runs on Web.
Can I use Jira for free?
Both have a free tier, so you can try either at no cost before committing.
What is Jira best used for?
Jira is most often used for software development teams leveraging ai-powered rovo for trend analysis and bottleneck identification, organisations requiring integrated issue tracking, project planning, and team alignment tools, enterprises with 1,000+ users needing advanced analytics, security controls, and custom deployment options. Of those, software development teams leveraging ai-powered rovo for trend analysis and bottleneck identification and organisations requiring integrated issue tracking, project planning, and team alignment tools are not what Apache Spark is typically brought in for.
What can Jira do that Apache Spark cannot?
Jira covers Scrum boards, Kanban boards, Roadmaps, Agile reporting.
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