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Machine Learning · head to head

BigQuery ML vs Writer

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Free plan
Yes
Full reviewWebsite
Writer logo

Writer

AI

Full-stack generative AI platform for enterprise content and agents

From
On request
Free plan
No
Full reviewWebsite

The short version

  • Only BigQuery ML has a free tier, so it costs nothing to try first.
  • Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Writer pricing is not publicly disclosed and requires a sales conversation, unlike consumer AI writing tools.
  • They diverge on capability: BigQuery ML covers SQL-based ML, Writer covers Palmyra LLMs.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where BigQuery ML and Writer differ
AttributeBigQuery MLWriter
Starting priceFreeOn request
Pricing modelusage-basedquote
Free tierYesNo
PlatformsWebweb, api
CategoryMachine LearningAI
Founded20082020

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 BigQuery ML

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

Only in Writer

  • Palmyra LLMs
  • Knowledge Graph
  • No-code agent builder
  • Brand compliance
  • AI writing assistant
  • Enterprise security controls

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 Writer
  • Linear and logistic regression on warehouse datanot Writer
  • K-means clustering and matrix factorisation for recommendationsnot Writer
  • Time series forecasting with ARIMA_PLUSnot Writer
  • Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Writer

Writer

  • Enterprise marketing content generationnot BigQuery ML
  • AI-powered knowledge assistants grounded in company datanot BigQuery ML
  • Building custom generative AI agents without codenot BigQuery ML
  • Brand and compliance-consistent copywriting at scalenot 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

Writer

  • Pricing is not publicly disclosed and requires a sales conversation, unlike consumer AI writing tools.
  • Its proprietary Palmyra models are less widely benchmarked and documented than general-purpose models like GPT or Claude.
  • Primarily positioned for large enterprises, making it less accessible or cost-effective for individuals and small teams.

Pricing, plan by plan

BigQuery ML

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

Writer

On request
  • Starter$undefined/month
    • For teams starting with agentic AI
    • Up to 5 users
    • 14-day free trial, no card required
  • Enterprise$undefined/month
    • Contact sales
    • Unlimited users, teams and free collaborators
    • Lite seats for invited users

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 Writer if

  • You need palmyra llms.
  • You work on web, api.
  • You also want knowledge graph.
Writer review

Questions people ask

Is BigQuery ML or Writer better?
Neither clearly leads. BigQuery ML starts at Free and Writer at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or Writer?
BigQuery ML has a free tier; the other does not. Paid plans start at Free for BigQuery ML and On request for Writer.
Does BigQuery ML or Writer run on more platforms?
BigQuery ML runs on Web. Writer runs on web, api.
Can I use BigQuery ML for free?
Yes. BigQuery ML has a free tier, so you can try it without paying. Writer starts at On request.
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 Writer is typically brought in for.
What can BigQuery ML do that Writer cannot?
BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Writer covers Palmyra LLMs, Knowledge Graph, No-code agent builder, Brand compliance.

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
Writer: What does Writer cost?

Writer does not publish prices. There are two tiers: Starter, for teams up to five users, with a 14-day free trial and no card required, and Enterprise, which is contact-sales and adds unlimited users and teams.

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
Writer: What is the difference between Pro and Lite seats?

Pro is the standard paid seat, with full access to create, customise and automate workflows. Lite seats exist only on Enterprise, letting invited users view and run existing playbooks with limited monthly Agent use before needing a Pro seat.

Source
Writer: What does Writer do with customer data?

Writer states a zero data retention approach and says customers retain full ownership of their data. By default it does not train or improve its models on customer data, rather than requiring an opt-out.

Source
Writer: Which compliance standards does Writer meet?

Writer says it adheres to GDPR, HIPAA, SOC 2 Type II and PCI. HIPAA and SOC 2 Type II certifications and reports are available on request, and only for Enterprise plans.

Source
Writer: Are there discounts for nonprofits or education?

Yes. Writer offers 20% off the Starter and Enterprise plans to nonprofits and educational institutions, claimed by emailing from a nonprofit or .edu address.

Source
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