Machine Learning · head to head
BigQuery ML vs Lindy
BigQuery ML
Machine Learning
Machine learning in BigQuery using SQL
- From
- Free
- Free plan
- Yes
Lindy
AI
AI teammate that automates work across your entire software stack
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Lindy requires per-user subscription, which scales costs with team size
- They diverge on capability: BigQuery ML covers SQL-based ML, Lindy covers Slack integration.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and Lindy actually diverge.
| Attribute | BigQuery ML | Lindy |
|---|---|---|
| Pricing model | usage-based | Per-user subscription with shared credit pool |
| Platforms | Web | Web, Slack, Email, Mobile |
| Category | Machine Learning | AI |
| Founded | 2008 | Unknown |
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 Lindy
- Slack integration
- Email automation
- Meeting transcription
- Scheduled routines
- 1,000+ app integrations
- Skill library
- Editable memory
- MCP 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 Lindy
- Linear and logistic regression on warehouse datanot Lindy
- K-means clustering and matrix factorisation for recommendationsnot Lindy
- Time series forecasting with ARIMA_PLUSnot Lindy
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Lindy
Lindy
- Automating email and calendar management across teamsnot BigQuery ML
- Transcribing and summarizing meetings automaticallynot BigQuery ML
- Updating CRM systems with meeting notes and leadsnot BigQuery ML
- Generating daily reports and weekly briefsnot BigQuery ML
- Processing structured data from multiple applicationsnot 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
Lindy
- Requires per-user subscription, which scales costs with team size
- Limited free trial period of 7 days may not allow full evaluation
- Credit system complexity could be confusing for new users
- Not designed for technical teams as primary tool
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Lindy
Free- Free TrialFree
- 7-day free trial for new team members joining via Slack
- Plus$29.99/month
- 3,000 credits per month
- Slack integration
- Email automation
- Pro$99.99/month
- 15,000 credits per month
- All Plus features
- Advanced automation
- Max$199.99/month
- 35,000 credits per month
- All Pro features
- Priority support
Which should you pick?
Choose BigQuery ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl tables.
Choose Lindy if
- You need slack integration.
- You want to start without paying.
- You work on Web, Slack, Email, Mobile.
- You also want email automation.
Questions people ask
- Is BigQuery ML or Lindy better?
- Neither clearly leads. BigQuery ML starts at Free and Lindy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or Lindy?
- BigQuery ML starts at Free and Lindy at Free.
- Does BigQuery ML or Lindy run on more platforms?
- BigQuery ML runs on Web. Lindy runs on Web, Slack, Email, Mobile.
- 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 Lindy is typically brought in for.
- What can BigQuery ML do that Lindy cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Lindy covers Slack integration, Email automation, Meeting transcription, Scheduled routines.
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.
SourceLindy: How does Lindy maintain data privacy and security?
Lindy is SOC 2 Type II, GDPR, HIPAA, and PIPEDA compliant. Data is encrypted in transit and at rest. The platform never sells your data or uses it to train models. Enterprise plans include signed BAAs and audit logs.
SourceBigQuery 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.
SourceLindy: Can we start with a free trial?
New team members joining through Slack receive a 7-day free trial before being billed. Direct signups are charged immediately. There is no permanent free tier after the trial.
SourceLindy: How many applications can Lindy integrate with?
Lindy connects to over 1,000 applications including Gmail, Notion, HubSpot, GitHub, Stripe, and others, with support for Model Context Protocol servers for custom integrations.
SourceRelated pages
More on BigQuery ML
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- Lindy vs Azure Machine Learning
- Lindy vs DataRobot
- Lindy vs Databricks
- Lindy vs SAS
- Lindy vs scikit-learn
- Lindy vs Snowflake
- Lindy vs Weka
- Lindy vs MATLAB
- Lindy vs Palantir Foundry
- Lindy vs Apache Spark MLlib
- Lindy vs ClearML
- Lindy vs Cohere
- Lindy vs Dask
- Lindy vs Groq
- Lindy vs Haystack
- Lindy vs IBM SPSS
- Lindy vs Amazon Redshift ML
- Lindy vs Vellum
- Lindy vs Gumloop
- Lindy vs Copilotly
- Lindy vs ChatGPT
- Lindy vs Wordtune
- Lindy vs Cartesia
- Lindy vs Rev
- Lindy vs Amazon Q Developer
- Lindy vs Avathon
- Lindy vs Veritone
- Lindy vs You.com
- Lindy vs Fathom
- Lindy vs Pi
- Lindy vs Play.ht
- Lindy vs Replika
- Lindy vs Rytr
- Lindy vs Sourcegraph Cody
- Lindy vs Tabnine