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Machine Learning · head to head

BigQuery ML vs DataGrip

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Rated
-
Full reviewWebsite
DataGrip logo

DataGrip

Databases

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; DataGrip commercial use requires a paid subscription; the free tier is non-commercial only.
  • They diverge on capability: BigQuery ML covers SQL-based ML, DataGrip covers Intelligent SQL Completion.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery ML and DataGrip actually diverge.

Attributes where BigQuery ML and DataGrip differ
AttributeBigQuery MLDataGrip
Pricing modelusage-basedsubscription
PlatformsWebwindows, mac, linux
CategoryMachine LearningDatabases
Founded20082000

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 BigQuery ML

  • SQL-based ML
  • AutoML Tables
  • Model export
  • Prediction functions
  • Feature preprocessing
  • BigQuery
  • Vertex AI
  • TensorFlow

Only in DataGrip

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

What people use each for

The jobs each tool is most often brought in to do.

BigQuery ML

  • Training models in SQL without exporting datanot DataGrip
  • Linear and logistic regression on warehouse datanot DataGrip
  • K-means clustering and matrix factorisation for recommendationsnot DataGrip
  • Time series forecasting with ARIMA_PLUSnot DataGrip
  • Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot DataGrip

DataGrip

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

Where each one falls short

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

BigQuery ML

  • Not available in BigQuery's Standard edition, so the cheapest tier cannot use it
  • Billed through BigQuery compute and storage rather than as its own product, so training cost tracks data scanned
  • Remote models incur extra Agent Platform charges on top
  • Externally trained model types such as boosted trees and AutoML run through Agent Platform rather than inside BigQuery

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.

Pricing, plan by plan

BigQuery ML

Free
  • Free TierFree
    • 10GB storage
    • 1TB queries
  • On-Demand$5/TB
    • Pay per TB scanned
    • ML training costs

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

Which should you pick?

Choose BigQuery ML if

  • You need sql-based ml.
  • You want to start without paying.
  • You also want automl tables.
BigQuery ML review

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

Questions people ask

Is BigQuery ML or DataGrip better?
Neither clearly leads. BigQuery ML starts at Free and DataGrip at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or DataGrip?
BigQuery ML starts at Free and DataGrip at Free.
Does BigQuery ML or DataGrip run on more platforms?
BigQuery ML runs on Web. DataGrip runs on windows, mac, linux.
Can I use BigQuery ML for free?
Both have a free tier, so you can try either at no cost before committing.
What is BigQuery ML best used for?
BigQuery ML is most often used for training models in sql without exporting data, linear and logistic regression on warehouse data, k-means clustering and matrix factorisation for recommendations, time series forecasting with arima_plus. Of those, training models in sql without exporting data and linear and logistic regression on warehouse data are not what DataGrip is typically brought in for.
What can BigQuery ML do that DataGrip cannot?
BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. DataGrip covers Intelligent SQL Completion, Schema Navigation, Data Editor, Version Control for Scripts.

Answered from the vendors’ own pages

BigQuery ML: How much does Google Cloud BigQuery ML cost?

BigQuery ML pricing is not specified separately on Google Cloud's pricing page. It follows the same pay-as-you-go model as BigQuery, charging per terabyte of data scanned during analysis. Customers receive $300 in free credits and can use 20+ products free up to monthly limits.

Source
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
BigQuery ML: Does Google Cloud offer a free trial?

Yes, new customers get $300 in free credits and all customers can use 20+ Google Cloud products free up to their monthly usage limits.

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
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
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
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