Softwr

Software · head to head

Asana vs Apache Spark MLlib

Asana logo

Asana

Software

Manage your team's work, projects, & tasks online

From
Free
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Software

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Asana the free Personal tier is capped at 2 users, so it does not cover a small team; Apache Spark MLlib apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.
  • They diverge on capability: Asana covers Multiple project views, Apache Spark MLlib covers Classification.

Where they differ

Only the attributes on which Asana and Apache Spark MLlib actually diverge.

Attributes where Asana and Apache Spark MLlib differ
AttributeAsanaApache Spark MLlib
Pricing modelUnknownopen-source
PlatformsWeb, iOS, AndroidLinux, macOS, Windows
Founded20081999

Identical on both: starting price (Free), free tier (Yes), 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 Asana

  • Multiple project views
  • Task dependencies
  • Milestones
  • Portfolios
  • Goals & OKRs
  • Workflow automation
  • Resource management
  • Reporting dashboards

Only in Apache Spark MLlib

  • Classification
  • Regression
  • Clustering
  • Collaborative filtering
  • Feature engineering
  • Apache Spark
  • Hadoop
  • Kafka

What people use each for

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

Asana

  • Project planning & trackingnot Apache Spark MLlib
  • Campaign managementnot Apache Spark MLlib
  • Product launchesnot Apache Spark MLlib
  • Event planningnot Apache Spark MLlib
  • Agile & Scrum managementnot Apache Spark MLlib

Apache Spark MLlib

  • Large-scale distributed machine learning on Spark clustersnot Asana
  • Classification and regression with decision trees, random forests, gradient-boosted treesnot Asana
  • Clustering with K-means and Gaussian Mixture Modelsnot Asana

Where each one falls short

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

Asana

  • The free Personal tier is capped at 2 users, so it does not cover a small team
  • Timeline and Gantt views, reporting dashboards and time tracking all require Starter at $10.99 per user per month
  • Portfolios, goals, workload management and approvals need Advanced at $24.99 per user per month
  • Salesforce, Tableau and Power BI integrations are Advanced or above
  • Monthly billing costs more, at $13.49 and $30.49 against the annual rates

Apache Spark MLlib

  • Apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.

Pricing, plan by plan

Asana

Free

No published plan breakdown. See the Asana review.

Apache Spark MLlib

Free

No published plan breakdown. See the Apache Spark MLlib review.

Which should you pick?

Choose Asana if

  • You need multiple project views.
  • You want to start without paying.
  • You work on Web, iOS, Android.
  • You also want task dependencies.
Asana review

Choose Apache Spark MLlib if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want regression.
Apache Spark MLlib review

Questions people ask

Is Asana or Apache Spark MLlib better?
Neither clearly leads. Asana starts at Free and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Asana or Apache Spark MLlib?
Asana starts at Free and Apache Spark MLlib at Free.
Does Asana or Apache Spark MLlib run on more platforms?
Asana runs on Web, iOS, Android. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Asana for free?
Both have a free tier, so you can try either at no cost before committing.
What is Asana best used for?
Asana is most often used for project planning & tracking, campaign management, product launches, event planning. Of those, project planning & tracking and campaign management are not what Apache Spark MLlib is typically brought in for.
What can Asana do that Apache Spark MLlib cannot?
Asana covers Multiple project views, Task dependencies, Milestones, Portfolios. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

Asana: Does Asana have a free tier?

Yes. Asana offers a free Personal plan for up to 2 users, plus free trial access to paid plans.

Source
Asana: What is the starting price for Asana paid plans?

Asana Starter plan begins at $10.99 per user per month when billed annually, or $13.49 per user when billed monthly.

Source
Asana: Does Asana integrate with other work tools?

Yes. Asana offers 200+ integrations including Slack, Google Workspace, Microsoft Teams, Salesforce, Jira, and Zoom.

Source
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Asana

More on Apache Spark MLlib

Keep looking

Other head to heads