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AI · head to head

Avathon vs BigQuery ML

Avathon logo

Avathon

AI

Industrial AI for asset performance and renewables, formerly SparkCognition

From
On request
Free plan
No
Full reviewWebsite
BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only BigQuery ML has a free tier, so it costs nothing to try first.
  • Each has a real cost: Avathon the company rebranded from SparkCognition to Avathon and narrowed its focus after repeated reported layoff rounds, so reference checks and roadmap commitments made under the old name need reconfirming.; BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it
  • They diverge on capability: Avathon covers Renewable Suite, BigQuery ML covers SQL-based ML.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Avathon and BigQuery ML differ
AttributeAvathonBigQuery ML
Starting priceOn requestFree
Pricing modelquoteusage-based
Free tierNoYes
PlatformsWeb, CloudWeb
CategoryAIMachine Learning
FoundedUnknown2008

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 Avathon

  • Renewable Suite
  • Loss attribution
  • Predictive maintenance models
  • Computer vision
  • Digital twin models
  • Work order integration
  • Fleet benchmarking
  • Document intelligence

Only in BigQuery ML

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

What people use each for

The jobs each tool is most often brought in to do.

Avathon

  • A wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm countnot BigQuery ML
  • A solar independent power producer detecting inverter and string underperformance that falls below the SCADA alarm thresholdnot BigQuery ML
  • A manufacturer with years of historian data and failure records who wants failure prediction models trained on their own historynot BigQuery ML
  • A site using cameras to detect missing personal protective equipment or unauthorised entry into restricted zonesnot BigQuery ML

BigQuery ML

  • Training models in SQL without exporting datanot Avathon
  • Linear and logistic regression on warehouse datanot Avathon
  • K-means clustering and matrix factorisation for recommendationsnot Avathon
  • Time series forecasting with ARIMA_PLUSnot Avathon
  • Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Avathon

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Avathon

  • The company rebranded from SparkCognition to Avathon and narrowed its focus after repeated reported layoff rounds, so reference checks and roadmap commitments made under the old name need reconfirming.
  • Headcount is in the low hundreds against a product portfolio spanning renewables, vision, predictive maintenance and document AI, which is thin coverage per product line for enterprise support expectations.
  • Model accuracy depends on having enough labelled historical failures, and sites with short data history or poor maintenance record-keeping get generic anomaly detection rather than useful failure prediction.
  • Nothing is published about pricing or asset-count thresholds, so there is no way to judge whether a small fleet is even a viable customer without entering a sales cycle.
  • It sits on top of your SCADA and CMMS rather than replacing them, so the integration and asset-hierarchy mapping work is a real project cost that the software subscription does not cover.

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

Pricing, plan by plan

Avathon

On request
  • Avathon$undefined/year
    • Annual subscription sized by asset count or installed megawatts for renewables
    • Separate pricing for vision, predictive maintenance and document products
    • Model development and data onboarding quoted as a professional services project

BigQuery ML

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

Which should you pick?

Choose Avathon if

  • You need renewable suite.
  • You work on Web, Cloud.
  • You also want loss attribution.
Avathon review

Choose BigQuery ML if

  • You need sql-based ml.
  • You want to start without paying.
  • You also want automl tables.
BigQuery ML review

Questions people ask

Is Avathon or BigQuery ML better?
Neither clearly leads. Avathon starts at On request and BigQuery ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Avathon or BigQuery ML?
BigQuery ML has a free tier; the other does not. Paid plans start at On request for Avathon and Free for BigQuery ML.
Does Avathon or BigQuery ML run on more platforms?
Avathon runs on Web, Cloud. BigQuery ML runs on Web.
Can I use BigQuery ML for free?
Yes. BigQuery ML has a free tier, so you can try it without paying. Avathon starts at On request.
What is Avathon best used for?
Avathon is most often used for a wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm count, a solar independent power producer detecting inverter and string underperformance that falls below the scada alarm threshold, a manufacturer with years of historian data and failure records who wants failure prediction models trained on their own history, a site using cameras to detect missing personal protective equipment or unauthorised entry into restricted zones. Of those, a wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm count and a solar independent power producer detecting inverter and string underperformance that falls below the scada alarm threshold are not what BigQuery ML is typically brought in for.
What can Avathon do that BigQuery ML cannot?
Avathon covers Renewable Suite, Loss attribution, Predictive maintenance models, Computer vision. BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions.

Answered from the vendors’ own pages

Avathon: Is this the same company as SparkCognition?

Yes. SparkCognition rebranded to Avathon and refocused on industrial and government asset AI.

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
Avathon: Which product is most mature?

The renewable energy suite for wind and solar underperformance, which has the longest production deployment history.

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
Avathon: Does it need my historian data in the cloud?

Generally yes for model training and ongoing scoring, which is a security review item for utility and defence customers.

Avathon: Can it work without historical failure records?

It will still do anomaly detection, but failure prediction models need labelled historical failures to be worth the deployment cost.

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