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NocoDB vs Apache Spark MLlib

NocoDB logo

NocoDB

Software

Open-source no-code database platform with REST and GraphQL APIs

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: NocoDB the free cloud tier is capped at 3 editor seats, 1,000 records and 1 GB of storage; 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: NocoDB covers REST API, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where NocoDB and Apache Spark MLlib differ
AttributeNocoDBApache Spark MLlib
PlatformsCloud, Self-hosted, DockerLinux, macOS, Windows
Founded20201999

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 NocoDB

  • REST API
  • GraphQL API
  • No-code database
  • Multiple SQL databases
  • Webhooks
  • Automation
  • Cloud support
  • Self-hosted support

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.

NocoDB

  • Self-hosting an open source alternative to a spreadsheet databasenot Apache Spark MLlib
  • Putting a spreadsheet interface over an existing Postgres or MySQL databasenot Apache Spark MLlib
  • Building internal tools on structured data with an APInot Apache Spark MLlib
  • Team bases with per-field and per-table permissions on the paid tiersnot Apache Spark MLlib

Apache Spark MLlib

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

Where each one falls short

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

NocoDB

  • The free cloud tier is capped at 3 editor seats, 1,000 records and 1 GB of storage
  • Records are the metering unit on cloud, so Plus covers 50K and Business 300K rather than scaling by seat alone
  • Row-level security, audit log retention and team hierarchy require the Scale tier
  • SCIM provisioning and air-gapped deployment are Enterprise only
  • The self-hosted Community edition is unlimited on records and seats but does without workflows, scripts and dashboards, which start at the paid self-hosted tiers

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

NocoDB

Free
  • CommunityFree
    • Self-hosted NocoDB
    • Community support
  • Starter$5/monthly
    • Cloud hosting
    • Basic features

Apache Spark MLlib

Free

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

Which should you pick?

Choose NocoDB if

  • You need rest api.
  • You want to start without paying.
  • You work on Cloud, Self-hosted, Docker.
  • You also want graphql api.
NocoDB 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 NocoDB or Apache Spark MLlib better?
Neither clearly leads. NocoDB 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, NocoDB or Apache Spark MLlib?
NocoDB starts at Free and Apache Spark MLlib at Free.
Does NocoDB or Apache Spark MLlib run on more platforms?
NocoDB runs on Cloud, Self-hosted, Docker. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use NocoDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is NocoDB best used for?
NocoDB is most often used for self-hosting an open source alternative to a spreadsheet database, putting a spreadsheet interface over an existing postgres or mysql database, building internal tools on structured data with an api, team bases with per-field and per-table permissions on the paid tiers. Of those, self-hosting an open source alternative to a spreadsheet database and putting a spreadsheet interface over an existing postgres or mysql database are not what Apache Spark MLlib is typically brought in for.
What can NocoDB do that Apache Spark MLlib cannot?
NocoDB covers REST API, GraphQL API, No-code database, Multiple SQL databases. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
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