Machine Learning · head to head
BigQuery ML vs ElevenLabs

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; ElevenLabs number pronunciation errors: '200000' reads as 'twenty thousand thousand' instead of '200,000'
- They diverge on capability: BigQuery ML covers SQL-based ML, ElevenLabs covers Text-to-speech.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and ElevenLabs actually diverge.
| Attribute | BigQuery ML | ElevenLabs |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | Web | Web, Api |
| Category | Machine Learning | AI |
| Founded | 2008 | 2022 |
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 ElevenLabs
- Text-to-speech
- Voice cloning
- 29 languages
- Emotion control
- API access
- Speech-to-speech
- Dubbing
- Api support
Both cover
- Web 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 ElevenLabs
- Linear and logistic regression on warehouse datanot ElevenLabs
- K-means clustering and matrix factorisation for recommendationsnot ElevenLabs
- Time series forecasting with ARIMA_PLUSnot ElevenLabs
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot ElevenLabs
ElevenLabs
- ai tools managementnot BigQuery ML
- Workflow automationnot BigQuery ML
- Reportingnot 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
ElevenLabs
- Number pronunciation errors: '200000' reads as 'twenty thousand thousand' instead of '200,000'
- Voice cloning requires professional-grade audio quality; no upfront guidance on technical requirements
- Email-only support with 5-14 day response times for complex issues; no phone support
- Pricing unpredictability: actual usage often exceeds advertised estimates due to regenerations needed for quality
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
ElevenLabs
Free- FreeFree
- 10,000 characters/month
- 3 custom voices
- Text-to-speech, speech-to-text access
- Starter$5/month
- 30,000 characters/month
- Commercial license
- Instant voice cloning
- Creator$22/month
- 121,000 characters/month
- Professional voice cloning
- Dubbing studio access
- Pro$99/month
- 600,000 characters/month
- Unlimited voice cloning
- 60-minute extended audio generation
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 ElevenLabs if
- You need text-to-speech.
- You want to start without paying.
- You work on Web, Api.
- You also want voice cloning.
Questions people ask
- Is BigQuery ML or ElevenLabs better?
- Neither clearly leads. BigQuery ML starts at Free and ElevenLabs at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or ElevenLabs?
- BigQuery ML starts at Free and ElevenLabs at Free.
- Does BigQuery ML or ElevenLabs run on more platforms?
- BigQuery ML runs on Web. ElevenLabs runs on Web, Api.
- 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 ElevenLabs is typically brought in for.
- What can BigQuery ML do that ElevenLabs cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. ElevenLabs covers Text-to-speech, Voice cloning, 29 languages, Emotion control. Both handle Web support.
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.
SourceElevenLabs: Does the free plan include commercial usage rights?
No. The free plan provides 10,000 characters monthly and access to 3 custom voices, but excludes commercial license. Commercial usage rights are only available on paid Starter plan ($5/month) and above.
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.
SourceElevenLabs: How many languages does ElevenLabs support?
ElevenLabs supports voice generation in 32+ languages. Professional Voice Cloning (PVC) allows you to create a digital replica of your voice that works across these 32+ languages while maintaining emotional register and prosody.
SourceElevenLabs: What are the requirements for voice cloning?
Professional voice cloning requires high-quality audio with RMS between -23dB to -18dB, no background noise, consistent microphone distance, and proper compression. Without meeting these technical requirements, the cloned voice sounds robotic or distorted. ElevenLabs does not disclose these requirements upfront.
SourceElevenLabs: How is pricing calculated?
ElevenLabs uses a credit-based system where monthly character limits determine your plan. Free plan has 10,000 characters/month. Starter tier ($5/month) provides 30,000 characters. Creator ($22/month) includes 121,000 credits. Annual billing offers approximately 17% savings (2 free months equivalent).
SourceElevenLabs: What happens if I exceed my monthly character limit?
Exceeding your monthly quota requires upgrading to a higher plan. Users report pricing unpredictability, with actual usage averaging 220-280 credits per 1,000 characters when accounting for regenerations, often exceeding advertised usage estimates.
SourceRelated pages
More on BigQuery ML
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 Play.ht
- BigQuery ML vs Murf
- BigQuery ML vs AI21 Labs
- BigQuery ML vs LOVO
- BigQuery ML vs Resemble AI
- BigQuery ML vs Deepgram
- BigQuery ML vs Cartesia
- BigQuery ML vs Jasper
- BigQuery ML vs Adobe Firefly
- BigQuery ML vs Writesonic
- BigQuery ML vs D-ID
- BigQuery ML vs Copy.ai
- BigQuery ML vs Amazon Q Developer
- BigQuery ML vs Anyword
- BigQuery ML vs Atlas Cloud
- BigQuery ML vs Avathon
- BigQuery ML vs Banana
- ElevenLabs vs AWS SageMaker
- ElevenLabs vs Azure Machine Learning
- ElevenLabs vs DataRobot
- ElevenLabs vs Databricks
- ElevenLabs vs SAS
- ElevenLabs vs scikit-learn
- ElevenLabs vs Snowflake
- ElevenLabs vs Weka
- ElevenLabs vs MATLAB
- ElevenLabs vs Palantir Foundry
- ElevenLabs vs Apache Spark MLlib
- ElevenLabs vs ClearML
- ElevenLabs vs Cohere
- ElevenLabs vs Dask
- ElevenLabs vs Groq
- ElevenLabs vs Haystack
- ElevenLabs vs IBM SPSS
- ElevenLabs vs Amazon Redshift ML
- ElevenLabs vs Play.ht
- ElevenLabs vs Murf
- ElevenLabs vs AI21 Labs
- ElevenLabs vs LOVO
- ElevenLabs vs Resemble AI
- ElevenLabs vs Deepgram
- ElevenLabs vs Cartesia
- ElevenLabs vs Jasper
- ElevenLabs vs Adobe Firefly
- ElevenLabs vs Writesonic
- ElevenLabs vs D-ID
- ElevenLabs vs Copy.ai
- ElevenLabs vs Amazon Q Developer
- ElevenLabs vs Anyword
- ElevenLabs vs Atlas Cloud
- ElevenLabs vs Avathon
- ElevenLabs vs Banana

