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Fibery vs Apache Spark MLlib

Fibery logo

Fibery

Software

Connected workspace for product teams

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: Fibery free plan limited to 10 users and 10 guests; 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: Fibery covers Customizable databases, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where Fibery and Apache Spark MLlib differ
AttributeFiberyApache Spark MLlib
Pricing modelsubscriptionopen-source
PlatformsWebLinux, macOS, Windows
Founded20181999

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 Fibery

  • Customizable databases
  • Bi-directional linking
  • Whiteboards
  • Documents
  • Timelines
  • Formulas
  • Automations
  • API access

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.

Fibery

  • Work management and product development platformnot Apache Spark MLlib
  • Relational database with multiple view types (table, board, gallery, timeline, calendar, Gantt)not Apache Spark MLlib
  • Knowledge base and document collaborationnot Apache Spark MLlib

Apache Spark MLlib

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

Where each one falls short

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

Fibery

  • Free plan limited to 10 users and 10 guests
  • Free plan limited to 10 databases
  • Enterprise plan requires minimum of 25 paid users
  • SAML SSO available only on Enterprise plan

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

Fibery

Free

No published plan breakdown. See the Fibery review.

Apache Spark MLlib

Free

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

Which should you pick?

Choose Fibery if

  • You need customizable databases.
  • You want to start without paying.
  • You also want bi-directional linking.
Fibery 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 Fibery or Apache Spark MLlib better?
Neither clearly leads. Fibery 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, Fibery or Apache Spark MLlib?
Fibery starts at Free and Apache Spark MLlib at Free.
Does Fibery or Apache Spark MLlib run on more platforms?
Fibery runs on Web. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Fibery for free?
Both have a free tier, so you can try either at no cost before committing.
What is Fibery best used for?
Fibery is most often used for work management and product development platform, relational database with multiple view types (table, board, gallery, timeline, calendar, gantt), knowledge base and document collaboration. Of those, work management and product development platform and relational database with multiple view types (table, board, gallery, timeline, calendar, gantt) are not what Apache Spark MLlib is typically brought in for.
What can Fibery do that Apache Spark MLlib cannot?
Fibery covers Customizable databases, Bi-directional linking, Whiteboards, Documents. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
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Related pages

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