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Databases · head to head

DataGrip vs Google Vertex AI

DataGrip logo

DataGrip

Databases

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

From
Free
Rated
-
Full reviewWebsite
Google Vertex AI logo

Google Vertex AI

Machine Learning

Unified ML platform to build, deploy, and scale AI models

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only DataGrip has a free tier, so it costs nothing to try first.
  • Each has a real cost: DataGrip commercial use requires a paid subscription; the free tier is non-commercial only.; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: DataGrip covers Intelligent SQL Completion, Google Vertex AI covers AutoML.

Where they differ

Only the attributes on which DataGrip and Google Vertex AI actually diverge.

Attributes where DataGrip and Google Vertex AI differ
AttributeDataGripGoogle Vertex AI
Starting priceFreeOn request
Pricing modelsubscriptionUnknown
Free tierYesNo
Platformswindows, mac, linuxCloud, Web
CategoryDatabasesMachine Learning
Founded20002008

Identical on both: 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 Google Vertex AI

  • AutoML
  • Custom training
  • Feature Store
  • Model monitoring
  • Prediction serving
  • BigQuery
  • Cloud Storage
  • TensorFlow

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 Google Vertex AI
  • Browsing and editing schema and table data visuallynot Google Vertex AI
  • Version-controlling database migration scriptsnot Google Vertex AI
  • Standardizing database tooling across a JetBrains-based teamnot Google Vertex AI

Google Vertex AI

  • Machine learningnot DataGrip
  • Data analysisnot DataGrip
  • Model trainingnot DataGrip
  • Predictive analyticsnot 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.

Google Vertex AI

  • Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • Requires familiarity with Google Cloud Platform infrastructure and concepts
  • Cost can escalate quickly with large training and inference workloads

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

Google Vertex AI

On request

No published plan breakdown. See the Google Vertex AI 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 Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.
Google Vertex AI review

Questions people ask

Is DataGrip or Google Vertex AI better?
Neither clearly leads. DataGrip starts at Free and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataGrip or Google Vertex AI?
DataGrip has a free tier; the other does not. Paid plans start at Free for DataGrip and On request for Google Vertex AI.
Does DataGrip or Google Vertex AI run on more platforms?
DataGrip runs on windows, mac, linux. Google Vertex AI runs on Cloud, Web.
Can I use DataGrip for free?
Yes. DataGrip has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
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 Google Vertex AI is typically brought in for.
What can DataGrip do that Google Vertex AI cannot?
DataGrip covers Intelligent SQL Completion, Schema Navigation, Data Editor, Version Control for Scripts. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring.

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
Google Vertex AI: What is the pricing model for Google Vertex AI?

Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.

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
Google Vertex AI: What types of data can Vertex AI handle?

Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.

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
Google Vertex AI: Does Vertex AI support custom model training?

Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.

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
Google Vertex AI: What deployment options are available in Vertex AI?

Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.

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
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