Softwr

Databases · head to head

DataGrip vs Apache Spark MLlib

DataGrip logo

DataGrip

Databases

Cross-platform database IDE from JetBrains for SQL and NoSQL databases

From
Free
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Machine Learning

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DataGrip commercial use requires a paid subscription; the free tier is non-commercial only.; 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: DataGrip covers Intelligent SQL Completion, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where DataGrip and Apache Spark MLlib differ
AttributeDataGripApache Spark MLlib
Pricing modelsubscriptionopen-source
Platformswindows, mac, linuxLinux, macOS, Windows
CategoryDatabasesMachine Learning
Founded20001999

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 DataGrip

  • Intelligent SQL Completion
  • Schema Navigation
  • Data Editor
  • Version Control for Scripts
  • Multi-database 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.

DataGrip

  • Writing and running SQL queries across multiple database enginesnot Apache Spark MLlib
  • Browsing and editing schema and table data visuallynot Apache Spark MLlib
  • Version-controlling database migration scriptsnot Apache Spark MLlib
  • Standardizing database tooling across a JetBrains-based teamnot Apache Spark MLlib

Apache Spark MLlib

  • Machine learningnot DataGrip
  • Data sciencenot DataGrip
  • Distributed computingnot DataGrip

Where each one falls short

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

DataGrip

  • Commercial use requires a paid subscription; the free tier is non-commercial only.
  • No built-in database administration features like backup scheduling found in dedicated DBA tools.
  • Heavier resource footprint than lightweight single-purpose SQL clients.
  • NoSQL support (e.g. MongoDB) is less mature than its relational database tooling.

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

DataGrip

Free
  • Free (non-commercial)Free
    • Personal, non-commercial use only
  • Individual - Year 1$99/year
    • Full DataGrip license
    • Free updates during subscription
  • Individual - Year 2+$79/year
    • Continuity discount from second year onward

Apache Spark MLlib

Free

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

Which should you pick?

Choose DataGrip if

  • You need intelligent sql completion.
  • You want to start without paying.
  • You work on windows, mac, linux.
  • You also want schema navigation.
DataGrip 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 DataGrip or Apache Spark MLlib better?
Neither clearly leads. DataGrip 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, DataGrip or Apache Spark MLlib?
DataGrip starts at Free and Apache Spark MLlib at Free.
Does DataGrip or Apache Spark MLlib run on more platforms?
DataGrip runs on windows, mac, linux. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use DataGrip for free?
Both have a free tier, so you can try either at no cost before committing.
What is DataGrip best used for?
DataGrip is most often used for writing and running sql queries across multiple database engines, browsing and editing schema and table data visually, version-controlling database migration scripts, standardizing database tooling across a jetbrains-based team. Of those, writing and running sql queries across multiple database engines and browsing and editing schema and table data visually are not what Apache Spark MLlib is typically brought in for.
What can DataGrip do that Apache Spark MLlib cannot?
DataGrip covers Intelligent SQL Completion, Schema Navigation, Data Editor, Version Control for Scripts. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

DataGrip: Is DataGrip free for personal use?

JetBrains introduced a free non-commercial license for DataGrip in October 2025, allowing personal use, while commercial use still requires a paid annual or monthly subscription.

Source
Apache Spark MLlib: How much does Apache Spark MLlib cost?

MLlib is completely free and open source, licensed under the Apache License Version 2.0. There are no subscription, licensing, or usage fees.

Source
DataGrip: Who qualifies for the free non-commercial license?

Only individuals are eligible, for uses like learning, open-source work, or content creation. Anyone paid by an employer, including at a non-profit, must use a commercial license instead.

Source
Apache Spark MLlib: What licensing does MLlib use?

MLlib is licensed under Apache License Version 2.0, making it freely available for all users regardless of organization size or use case.

Source
DataGrip: How long does the free non-commercial license last?

It lasts one year and auto-renews if DataGrip was used at least once in the final six months; otherwise you can simply reapply for a new license.

Source
Apache Spark MLlib: How do I use MLlib?

MLlib is built into Apache Spark. Download Spark, which includes MLlib as a module, and deploy on your choice of infrastructure including Hadoop, Mesos, Kubernetes, standalone, or cloud.

Source
DataGrip: Does the free license have fewer features than the paid version?

No, it is a full-featured IDE identical to the paid version, though it requires anonymized telemetry sharing that cannot be opted out of under the non-commercial agreement.

Source
DataGrip: Can I use DataGrip offline with the free license?

No, activation requires logging into a JetBrains Account; offline activation codes are not available for the free non-commercial license.

Source
Share

Related pages

More on DataGrip

More on Apache Spark MLlib

Keep looking

Other head to heads