Machine Learning · head to head
BigQuery ML vs Geckoboard
The short version
- Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Geckoboard annual billing required; monthly billing not offered
- They diverge on capability: BigQuery ML covers SQL-based ML, Geckoboard covers Real-time Updates.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and Geckoboard actually diverge.
| Attribute | BigQuery ML | Geckoboard |
|---|---|---|
| Pricing model | usage-based | subscription |
| Platforms | Web | Web, Tv, Mobile |
| Category | Machine Learning | Business Intelligence |
| Founded | 2008 | 2010 |
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 Geckoboard
- Real-time Updates
- TV Mode
- Custom Widgets
- Data Blending
- Sharing
- Salesforce
- Zendesk
- Google Analytics
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 Geckoboard
- Linear and logistic regression on warehouse datanot Geckoboard
- K-means clustering and matrix factorisation for recommendationsnot Geckoboard
- Time series forecasting with ARIMA_PLUSnot Geckoboard
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Geckoboard
Geckoboard
- TV wall dashboards for office and operations displaysnot BigQuery ML
- Live KPI monitoring for sales and support teamsnot BigQuery ML
- Sharing read-only metrics widely, since viewers are unlimited on every tiernot BigQuery ML
- Alerting when a metric crosses a thresholdnot 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
Geckoboard
- Annual billing required; monthly billing not offered
- Add-on dashboards cost $24 each
- Additional editors cost $20 each
- Additional screens cost $20 each
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Geckoboard
Free- Essentials$79/month
- 2 dashboards
- 1 editor
- 1 screen
- Performance$319/month
- 20 dashboards
- 3 editors
- 5 screens
- Enterprise$null/mo
- Unlimited dashboards, editors, and screens
- All Performance features
- Dedicated support manager
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 Geckoboard if
- You need real-time updates.
- You want to start without paying.
- You work on Web, Tv, Mobile.
- You also want tv mode.
Questions people ask
- Is BigQuery ML or Geckoboard better?
- Neither clearly leads. BigQuery ML starts at Free and Geckoboard at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or Geckoboard?
- BigQuery ML starts at Free and Geckoboard at Free.
- Does BigQuery ML or Geckoboard run on more platforms?
- BigQuery ML runs on Web. Geckoboard runs on Web, Tv, 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 Geckoboard is typically brought in for.
- What can BigQuery ML do that Geckoboard cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Geckoboard covers Real-time Updates, TV Mode, Custom Widgets, Data Blending. 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.
SourceGeckoboard: How much does Geckoboard cost?
Geckoboard offers Essentials at $79 per month, Performance at $319 per month, and custom-priced Enterprise plans. All plans are billed annually. A 14-day free trial is available.
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.
SourceGeckoboard: Is there an annual billing discount for Geckoboard?
Yes, annual billing provides 20% savings compared to monthly pricing. Pricing is shown for annual billing with VAT not included.
SourceGeckoboard: What are the add-on costs for additional Geckoboard resources?
Additional dashboards cost $24 each, extra editors cost $20 each, and additional screens cost $20 each. All add-ons are billed with the annual subscription.
SourceGeckoboard: Does Geckoboard offer discounts for nonprofits?
Yes, Geckoboard offers 20% off any plan for nonprofit organizations.
SourceRelated pages
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- Geckoboard vs scikit-learn
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- Geckoboard vs Weka
- Geckoboard vs MATLAB
- Geckoboard vs Palantir Foundry
- Geckoboard vs Apache Spark MLlib
- Geckoboard vs Hugging Face
- Geckoboard vs Kubeflow
- Geckoboard vs Langwatch
- Geckoboard vs LlamaIndex
- Geckoboard vs Milvus
- Geckoboard vs Neptune.ai
- Geckoboard vs Amazon Redshift ML
- Geckoboard vs Power BI
- Geckoboard vs Sisense
- Geckoboard vs Amazon QuickSight
- Geckoboard vs MicroStrategy
- Geckoboard vs Klipfolio
- Geckoboard vs Databox
- Geckoboard vs Domo
- Geckoboard vs Baremetrics
- Geckoboard vs Stripe Dashboard
- Geckoboard vs ChartMogul
- Geckoboard vs Cyfe
- Geckoboard vs Exa
- Geckoboard vs Grow
- Geckoboard vs Hebbia
- Geckoboard vs Holistics
- Geckoboard vs Jedox
- Geckoboard vs Logi Analytics
- Geckoboard vs Luzmo