Machine Learning · head to head
BigQuery ML vs Replicate
BigQuery ML
Machine Learning
Machine learning in BigQuery using SQL
- 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; Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- They diverge on capability: BigQuery ML covers SQL-based ML, Replicate covers Model hosting.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and Replicate actually diverge.
| Attribute | BigQuery ML | Replicate |
|---|---|---|
| Platforms | Web | Api, Cloud |
| Category | Machine Learning | AI |
| Founded | 2008 | 2019 |
Identical on both: starting price (Free), pricing model (usage-based), 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 Replicate
- Model hosting
- Simple API
- Auto-scaling
- Custom models
- REST API
- Python client
- JavaScript client
- Api 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 Replicate
- Linear and logistic regression on warehouse datanot Replicate
- K-means clustering and matrix factorisation for recommendationsnot Replicate
- Time series forecasting with ARIMA_PLUSnot Replicate
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Replicate
Replicate
- Running open source machine learning models through a hosted API without managing GPUsnot BigQuery ML
- Deploying and serving a custom or fine tuned model on rented GPU hardwarenot BigQuery ML
- Per second billed batch image, video and language model inferencenot 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
Replicate
- Private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- Multi-GPU A100, H100, H200 and L40S capacity beyond the listed configurations is only available with a committed spend contract
- The pricing page publishes no free tier allowance
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Replicate
Free- Pay-as-you-go$null/usage
- Billed by execution time for public models
- CPU Small: $0.000025/second ($0.09/hour)
- 8x Nvidia A100 GPUs: $0.0112/second ($40.32/hour)
- Enterprise$null/custom
- Dedicated account manager
- Priority support
- Higher GPU limits
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 Replicate if
- You need model hosting.
- You want to start without paying.
- You work on Api, Cloud.
- You also want simple api.
Questions people ask
- Is BigQuery ML or Replicate better?
- Neither clearly leads. BigQuery ML starts at Free and Replicate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or Replicate?
- BigQuery ML starts at Free and Replicate at Free.
- Does BigQuery ML or Replicate run on more platforms?
- BigQuery ML runs on Web. Replicate runs on Api, Cloud.
- 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 Replicate is typically brought in for.
- What can BigQuery ML do that Replicate cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Replicate covers Model hosting, Simple API, Auto-scaling, Custom models.
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.
SourceReplicate: How much does Replicate cost?
Replicate uses pay-as-you-go pricing based on model execution time and compute type. Costs range from $0.09/hour for CPU (Small) to $40.32/hour for 8x Nvidia A100 GPUs. Some models charge per input/output tokens instead of time.
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.
SourceReplicate: Does Replicate offer a free tier?
Yes, Replicate is free to start with pay-as-you-go pricing. There are no subscription tiers or minimum commitments; you pay only for what you use.
SourceReplicate: What is the difference between public and private models?
Public models are billed by execution time. Private models are billed for all instance uptime including setup, idle, and active processing time, except for fast-booting fine-tunes which are billed only during active processing.
SourceRelated pages
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- Replicate vs Azure Machine Learning
- Replicate vs DataRobot
- Replicate vs Databricks
- Replicate vs SAS
- Replicate vs scikit-learn
- Replicate vs Snowflake
- Replicate vs Weka
- Replicate vs MATLAB
- Replicate vs Palantir Foundry
- Replicate vs Apache Spark MLlib
- Replicate vs ClearML
- Replicate vs Cohere
- Replicate vs Dask
- Replicate vs Groq
- Replicate vs Haystack
- Replicate vs IBM SPSS
- Replicate vs Amazon Redshift ML
- Replicate vs Anthropic API
- Replicate vs Pika
- Replicate vs D-ID
- Replicate vs Fathom
- Replicate vs Atlas Cloud
- Replicate vs Together AI
- Replicate vs RunPod
- Replicate vs AI21 Labs
- Replicate vs Lambda Labs
- Replicate vs Banana
- Replicate vs CoreWeave
- Replicate vs Modal
- Replicate vs Leonardo AI
- Replicate vs Murf
- Replicate vs Pi
- Replicate vs Play.ht
- Replicate vs Replika