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Software · head to head

Kanbanize vs Magnific

Kanbanize logo

Kanbanize

Software

Enterprise Kanban software for agile teams

From
On request
Rated
-
Full reviewWebsite
M

Magnific

Software

A creative AI platform for image, video, and audio generation, formerly Freepik AI

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Kanbanize no per user price or minimum user count is published, despite the page being headed simple pricing; Magnific credit costs vary widely by output type, from 15 credits per 3 seconds of sound effects to up to 5,600 credits for a single video generation, making total cost hard to predict from the headline plan price, as of August 2026.

Where they differ

Only the attributes on which Kanbanize and Magnific actually diverge.

Attributes where Kanbanize and Magnific differ
AttributeKanbanizeMagnific
Pricing modelsubscriptionusage-based
PlatformsWeb, Ios, AndroidWeb
Founded2012Unknown

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated), category (Unknown).

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 Kanbanize

  • Kanban boards
  • Portfolio Kanban
  • Workflow automation
  • Analytics
  • Timeline
  • Jira
  • Azure DevOps
  • Slack

Only in Magnific

Nothing recorded that Kanbanize does not also cover.

What people use each for

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

Kanbanize

  • Kanban boards and portfolio management for scaled agile teamsnot Magnific
  • Linking strategy and OKRs to delivery workflowsnot Magnific

Magnific

No use cases recorded yet. See the Magnific review.

Where each one falls short

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

Kanbanize

  • No per user price or minimum user count is published, despite the page being headed simple pricing
  • Automation rules are a paid add on on both plans, capped at 300 on Standard
  • SSO is a paid add on rather than included at either tier
  • File storage is 100 GB on Standard against 1 TB on Enterprise, and API calls are capped on Standard without the limit being stated
  • A dedicated cloud instance, IP whitelisting and 24/7 support are Enterprise only

Magnific

  • Credit costs vary widely by output type, from 15 credits per 3 seconds of sound effects to up to 5,600 credits for a single video generation, making total cost hard to predict from the headline plan price, as of August 2026.

Pricing, plan by plan

Kanbanize

On request
  • Team$149/month
    • 15 users
    • Unlimited boards
    • Kanban analytics
  • EnterpriseFree
    • Custom pricing
    • SSO
    • Advanced security

Magnific

On request

No published plan breakdown. See the Magnific review.

Which should you pick?

Choose Kanbanize if

  • You need kanban boards.
  • You work on Web, Ios, Android.
  • You also want portfolio kanban.
Kanbanize review

Choose Magnific if

Nothing in the data separates Magnific from Kanbanize on the points above - pick on price and on how each one feels to use.

Magnific review

Questions people ask

Is Kanbanize or Magnific better?
Neither clearly leads. Kanbanize starts at On request and Magnific at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Kanbanize or Magnific?
Kanbanize starts at On request and Magnific at On request.
Does Kanbanize or Magnific run on more platforms?
Kanbanize runs on Web, Ios, Android. Magnific runs on Web.
What is Kanbanize best used for?
Kanbanize is most often used for kanban boards and portfolio management for scaled agile teams, linking strategy and okrs to delivery workflows. Of those, kanban boards and portfolio management for scaled agile teams and linking strategy and okrs to delivery workflows are not what Magnific is typically brought in for.
What can Kanbanize do that Magnific cannot?
Kanbanize covers Kanban boards, Portfolio Kanban, Workflow automation, Analytics.
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