Software · head to head
Budibase vs Apache Spark MLlib
The short version
- Each has a real cost: Budibase cloud plans are metered on automation actions, from 5,000 a month on Pro to 250,000 on Business; 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: Budibase covers Drag-and-drop builder, Apache Spark MLlib covers Classification.
Where they differ
Only the attributes on which Budibase and Apache Spark MLlib actually diverge.
| Attribute | Budibase | Apache Spark MLlib |
|---|---|---|
| Platforms | Web, Self-hosted | Linux, macOS, Windows |
| Founded | 2019 | 1999 |
Identical on both: starting price (Free), pricing model (open-source), 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 Budibase
- Drag-and-drop builder
- Database design
- REST API
- User management
- Custom code
- Workflows
- Responsive design
- 100+ integrations
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.
Budibase
- Building internal tools over existing databasesnot Apache Spark MLlib
- Self-hosting an open source low-code platformnot Apache Spark MLlib
- Admin panels and CRUD apps for operations teamsnot Apache Spark MLlib
- Automations triggered by data changesnot Apache Spark MLlib
Apache Spark MLlib
- Large-scale distributed machine learning on Spark clustersnot Budibase
- Classification and regression with decision trees, random forests, gradient-boosted treesnot Budibase
- Clustering with K-means and Gaussian Mixture Modelsnot Budibase
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Budibase
- Cloud plans are metered on automation actions, from 5,000 a month on Pro to 250,000 on Business
- Creator seats are limited and cost $50 each beyond the included count
- End users are $5 per user per month on top of the plan
- Custom branding needs Premium, SSO enforcement and environment variables need Business, and audit logs are Enterprise only
- Log retention is tiered from 1 day on Pro to 365 days on Enterprise
- Monthly billing costs 20 percent more than annual
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
Budibase
Free- Open SourceFree
- Self-hosted
- Community support
- FreeFree
- Cloud hosted
- Limited features
- Premium$50/month
- Advanced features
- Email support
Apache Spark MLlib
FreeNo published plan breakdown. See the Apache Spark MLlib review.
Which should you pick?
Choose Budibase if
- You need drag-and-drop builder.
- You want to start without paying.
- You work on Web, Self-hosted.
- You also want database design.
Choose Apache Spark MLlib if
- You need classification.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want regression.
Questions people ask
- Is Budibase or Apache Spark MLlib better?
- Neither clearly leads. Budibase 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, Budibase or Apache Spark MLlib?
- Budibase starts at Free and Apache Spark MLlib at Free.
- Does Budibase or Apache Spark MLlib run on more platforms?
- Budibase runs on Web, Self-hosted. Apache Spark MLlib runs on Linux, macOS, Windows.
- Can I use Budibase for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Budibase best used for?
- Budibase is most often used for building internal tools over existing databases, self-hosting an open source low-code platform, admin panels and crud apps for operations teams, automations triggered by data changes. Of those, building internal tools over existing databases and self-hosting an open source low-code platform are not what Apache Spark MLlib is typically brought in for.
- What can Budibase do that Apache Spark MLlib cannot?
- Budibase covers Drag-and-drop builder, Database design, REST API, User management. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
Related pages
More on Apache Spark MLlib
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