Machine Learning · head to head
BigQuery ML vs Sourcegraph Cody

BigQuery ML
Machine Learning
Machine learning in BigQuery using SQL
- From
- Free
- Free plan
- Yes

Sourcegraph Cody
AI
Enterprise AI coding assistant with whole-codebase context
- From
- $59/month
- Free plan
- No
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; Sourcegraph Cody no longer available to individual developers or small teams after free and Pro tiers were discontinued in mid-2025
- They diverge on capability: BigQuery ML covers SQL-based ML, Sourcegraph Cody covers Multi-repository context.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and Sourcegraph Cody actually diverge.
| Attribute | BigQuery ML | Sourcegraph Cody |
|---|---|---|
| Starting price | Free | $59/month |
| Pricing model | usage-based | quote |
| Free tier | Yes | No |
| Platforms | Web | web, windows, mac, linux |
| Category | Machine Learning | AI |
| Founded | 2008 | 2013 |
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 Sourcegraph Cody
- Multi-repository context
- Large context window
- Context filters
- Model flexibility
- IDE integration
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 Sourcegraph Cody
- Linear and logistic regression on warehouse datanot Sourcegraph Cody
- K-means clustering and matrix factorisation for recommendationsnot Sourcegraph Cody
- Time series forecasting with ARIMA_PLUSnot Sourcegraph Cody
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Sourcegraph Cody
Sourcegraph Cody
- Cross-repository code understanding for large engineering orgsnot BigQuery ML
- AI-assisted code review and refactoring at enterprise scalenot BigQuery ML
- Enforcing data-boundary controls when using third-party LLMsnot BigQuery ML
- Codebase-aware chat and autocomplete for developersnot 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
Sourcegraph Cody
- No longer available to individual developers or small teams after free and Pro tiers were discontinued in mid-2025
- Priced substantially higher than many competing AI coding assistants, with Enterprise plans typically requiring annual contracts
- Sourcegraph has shifted its individual-developer focus to a separate product, Amp, creating uncertainty about Cody's long-term product priority
- Requires integration with Sourcegraph's broader code intelligence platform rather than working as a lightweight standalone extension
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Sourcegraph Cody
$59/month- Enterprise$59/month
- Whole-codebase AI context
- Context filters for sensitive code
- Multi-repository analysis
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 Sourcegraph Cody if
- You need multi-repository context.
- You work on web, windows, mac, linux.
- You also want large context window.
Questions people ask
- Is BigQuery ML or Sourcegraph Cody better?
- Neither clearly leads. BigQuery ML starts at Free and Sourcegraph Cody at $59/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or Sourcegraph Cody?
- BigQuery ML has a free tier; the other does not. Paid plans start at Free for BigQuery ML and $59/month for Sourcegraph Cody.
- Does BigQuery ML or Sourcegraph Cody run on more platforms?
- BigQuery ML runs on Web. Sourcegraph Cody runs on web, windows, mac, linux.
- Can I use BigQuery ML for free?
- Yes. BigQuery ML has a free tier, so you can try it without paying. Sourcegraph Cody starts at $59/month.
- 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 Sourcegraph Cody is typically brought in for.
- What can BigQuery ML do that Sourcegraph Cody cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Sourcegraph Cody covers Multi-repository context, Large context window, Context filters, Model flexibility.
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.
SourceSourcegraph Cody: Is Sourcegraph Cody still available to individual developers?
No, as of mid-2025 Cody Free and Pro plans were discontinued; Cody is now sold only as part of Sourcegraph's Enterprise plan, which requires an annual contract.
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.
SourceSourcegraph Cody: How much does Sourcegraph Enterprise cost?
Enterprise plans start around $16,000 and scale with team size and seat count, including bundled AI credits; exact pricing requires a sales quote.
SourceSourcegraph Cody: How does the AI credit system work on Enterprise plans?
Each plan includes a pooled allocation of AI credits shared across the organization; credits do not expire and roll over at renewal, with volume credit add-ons available.
SourceSourcegraph Cody: What happens if my organization exceeds its credit allocation?
Sourcegraph's pricing page addresses overage and offers additional volume credit buckets for teams that need more than their committed allocation.
SourceSourcegraph Cody: Is a free trial available for Sourcegraph Enterprise?
Sourcegraph's pricing page lists free trial availability as one of its published FAQ topics for prospective Enterprise customers.
SourceRelated pages
More on BigQuery ML
More on Sourcegraph Cody
Other head to heads
- BigQuery ML vs AWS SageMaker
- BigQuery ML vs Azure Machine Learning
- BigQuery ML vs DataRobot
- BigQuery ML vs Databricks
- BigQuery ML vs SAS
- BigQuery ML vs scikit-learn
- BigQuery ML vs Snowflake
- BigQuery ML vs Weka
- BigQuery ML vs MATLAB
- BigQuery ML vs Palantir Foundry
- BigQuery ML vs Apache Spark MLlib
- BigQuery ML vs ClearML
- BigQuery ML vs Cohere
- BigQuery ML vs Dask
- BigQuery ML vs Groq
- BigQuery ML vs Haystack
- BigQuery ML vs IBM SPSS
- BigQuery ML vs Amazon Redshift ML
- BigQuery ML vs Tabnine
- BigQuery ML vs Amazon Q Developer
- BigQuery ML vs PromptLayer
- BigQuery ML vs AI21 Labs
- BigQuery ML vs Aider
- BigQuery ML vs Arize AI
- BigQuery ML vs Gumloop
- BigQuery ML vs Helicone
- BigQuery ML vs CoreWeave
- BigQuery ML vs Poolside
- BigQuery ML vs Cartesia
- BigQuery ML vs Jasper
- BigQuery ML vs ElevenLabs
- BigQuery ML vs Grok
- BigQuery ML vs Inflection AI
- BigQuery ML vs LatchBio
- BigQuery ML vs LOVO
- Sourcegraph Cody vs AWS SageMaker
- Sourcegraph Cody vs Azure Machine Learning
- Sourcegraph Cody vs DataRobot
- Sourcegraph Cody vs Databricks
- Sourcegraph Cody vs SAS
- Sourcegraph Cody vs scikit-learn
- Sourcegraph Cody vs Snowflake
- Sourcegraph Cody vs Weka
- Sourcegraph Cody vs MATLAB
- Sourcegraph Cody vs Palantir Foundry
- Sourcegraph Cody vs Apache Spark MLlib
- Sourcegraph Cody vs ClearML
- Sourcegraph Cody vs Cohere
- Sourcegraph Cody vs Dask
- Sourcegraph Cody vs Groq
- Sourcegraph Cody vs Haystack
- Sourcegraph Cody vs IBM SPSS
- Sourcegraph Cody vs Amazon Redshift ML
- Sourcegraph Cody vs Tabnine
- Sourcegraph Cody vs Amazon Q Developer
- Sourcegraph Cody vs PromptLayer
- Sourcegraph Cody vs AI21 Labs
- Sourcegraph Cody vs Aider
- Sourcegraph Cody vs Arize AI
- Sourcegraph Cody vs Gumloop
- Sourcegraph Cody vs Helicone
- Sourcegraph Cody vs CoreWeave
- Sourcegraph Cody vs Poolside
- Sourcegraph Cody vs Cartesia
- Sourcegraph Cody vs Jasper
- Sourcegraph Cody vs ElevenLabs
- Sourcegraph Cody vs Grok
- Sourcegraph Cody vs Inflection AI
- Sourcegraph Cody vs LatchBio
- Sourcegraph Cody vs LOVO
