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Technology · head to head

Apache Spark vs Jira

A

Apache Spark

Technology

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

From
Free
Rated
-
Full reviewWebsite
Jira logo

Jira

Technology

The #1 software development tool used by agile teams

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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; Jira free tier strictly limited to 10 users with only 2 GB storage; unsuitable for growing teams

Where they differ

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

Attributes where Apache Spark and Jira differ
AttributeApache SparkJira
Pricing modelopen-sourcefreemium
PlatformsWebCloud, Web
FoundedUnknown2002

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 Spark

Nothing recorded that Jira does not also cover.

Only in Jira

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

What people use each for

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

Apache Spark

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

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

Where each one falls short

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

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

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

Pricing, plan by plan

Apache Spark

Free

No published plan breakdown. See the Apache Spark review.

Jira

Free

No published plan breakdown. See the Jira review.

Which should you pick?

Choose Apache Spark if

  • You want to start without paying.
Apache Spark review

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

Questions people ask

Is Apache Spark or Jira better?
Neither clearly leads. Apache Spark starts at Free and Jira at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Spark or Jira?
Apache Spark starts at Free and Jira at Free.
Does Apache Spark or Jira run on more platforms?
Apache Spark runs on Web. Jira runs on Cloud, Web.
Can I use Apache Spark for free?
Both have a free tier, so you can try either at no cost before committing.
What can Apache Spark do that Jira cannot?
Jira covers Scrum boards, Kanban boards, Roadmaps, Agile reporting.
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Related pages

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