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Redash vs Apache Spark MLlib

Redash logo

Redash

Software

Connect and visualize your data

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: Redash a basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow; 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: Redash covers SQL Query Editor, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where Redash and Apache Spark MLlib differ
AttributeRedashApache Spark MLlib
Pricing modelfreemiumopen-source
PlatformsWeb, Self-hosted, CloudLinux, macOS, Windows
Founded20131999

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 Redash

  • SQL Query Editor
  • Multiple Data Sources
  • Visualizations
  • Dashboards
  • Alerts
  • PostgreSQL
  • MySQL
  • BigQuery

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.

Redash

  • Self-hosted SQL query editor and dashboarding over existing databasesnot Apache Spark MLlib
  • Sharing scheduled query results with a team without buying a BI licencenot Apache Spark MLlib

Apache Spark MLlib

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

Where each one falls short

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

Redash

  • A basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow
  • The official Docker images were not updated for V10, so the documented route is to deploy a V8 instance and then upgrade it
  • Anyone not using a provided cloud image has to configure the environment variables and secrets by hand

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

Redash

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community Support
  • Cloud$49/month
    • Managed Hosting
    • Automatic Updates
    • Support

Apache Spark MLlib

Free

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

Which should you pick?

Choose Redash if

  • You need sql query editor.
  • You want to start without paying.
  • You work on Web, Self-hosted, Cloud.
  • You also want multiple data sources.
Redash 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 Redash or Apache Spark MLlib better?
Neither clearly leads. Redash 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, Redash or Apache Spark MLlib?
Redash starts at Free and Apache Spark MLlib at Free.
Does Redash or Apache Spark MLlib run on more platforms?
Redash runs on Web, Self-hosted, Cloud. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Redash for free?
Both have a free tier, so you can try either at no cost before committing.
What is Redash best used for?
Redash is most often used for self-hosted sql query editor and dashboarding over existing databases, sharing scheduled query results with a team without buying a bi licence. Of those, self-hosted sql query editor and dashboarding over existing databases and sharing scheduled query results with a team without buying a bi licence are not what Apache Spark MLlib is typically brought in for.
What can Redash do that Apache Spark MLlib cannot?
Redash covers SQL Query Editor, Multiple Data Sources, Visualizations, Dashboards. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
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