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Alternatives to BigQuery ML

21 machine learning tools sit alongside BigQuery ML in this directory. Below is what separates each from BigQuery ML on the figures we hold, price, model, tier count and rating, and a direct comparison for every one.

Alternatives listed
21
With a free tier
17
Cheaper to start
0
BigQuery ML starts at
Free

Why people look past BigQuery ML

Nothing on the record flags a reason to move. BigQuery ML has a free tier, and starts at Free against a category median of $17/month. People still switch over fit and workflow, and those are not things a catalogue entry can measure, which is what the comparisons below are for.

What each alternative does differently

Ordered by the aggregated rating on each catalogue entry. Differences are drawn from price, pricing model, tier count and rating, the fields the category listing carries. For a feature-level difference, follow the head-to-head link on each card: those pages read both full records.

Free, then $0.04/hour

Build, train, and deploy machine learning models at scale

  • Starts $0.04 a hour dearer, at $0.04/hour.

Unified ML platform to build, deploy, and scale AI models

  • No free tier, where BigQuery ML has one.

Microsoft's managed platform for training, tracking and deploying models on Azure

Priced and rated the same as BigQuery ML on the figures we hold. The difference, if there is one, is in the feature records.

Enterprise AI platform for automated machine learning

  • No free tier, where BigQuery ML has one.
  • Sold on a subscription model rather than usage-based.

Open-source MLOps platform for experiment tracking and orchestration

  • Sold on a Open-source self-hosted, with paid hosted and enterprise tiers model rather than usage-based.
  • 1 tier to BigQuery ML's 2.
Free, then €29/month

LLM engineering platform for testing and evaluating AI agents in production

  • Starts $29 a month dearer, at €29/month.
  • Sold on a Tiered subscription with usage-based overage charges model rather than usage-based.
  • 3 tiers to BigQuery ML's 2.

Every BigQuery ML alternative at a glance

A dash means the catalogue entry carries no figure, not that the answer is nothing.

Machine Learning alternatives to BigQuery ML
ToolEntry priceModelTiersHead to head
BigQuery ML (this page)FreeUsage-based2
AWS SageMakerBuild, train, and deploy machine learning models at scaleFree, then $0.04/hour--vs BigQuery ML
Google Vertex AIUnified ML platform to build, deploy, and scale AI modelsOn request--vs BigQuery ML
Azure Machine LearningEnterprise-grade machine learning serviceFreeUsage-based2vs BigQuery ML
DataRobotEnterprise AI platform for automated machine learningFreeSubscription2vs BigQuery ML
ClearMLFreeOpen-source self-hosted, with paid hosted and enterprise tiers1vs BigQuery ML
LangwatchFree, then €29/monthTiered subscription with usage-based overage charges3vs BigQuery ML
HaystackFreeOpen-source with optional paid enterprise support2vs BigQuery ML
Semantic KernelFreeOpen source, no pricing1vs BigQuery ML
H2O.aiFreeFreemium2vs BigQuery ML
DaskFreeOpen-source1vs BigQuery ML
IBM SPSSFree, then $99/monthSubscription2vs BigQuery ML
JMPFreeSubscription2vs BigQuery ML
AnacondaFree, then $15/month-3vs BigQuery ML
BentoMLFreeFreemium2vs BigQuery ML
DataikuFreeFreemium2vs BigQuery ML
Comet MLFree, then $19/monthFreemium4vs BigQuery ML
Hugging FaceFree--vs BigQuery ML
Domino Data LabFreeSubscription2vs BigQuery ML
DVCFreeOpen-source2vs BigQuery ML
Fal AI$1.89/hourUsage-based2vs BigQuery ML
GroqOn requestQuote-vs BigQuery ML

Ratings are aggregated from third-party sources and imported with each catalogue entry; Softwr hosts no reviews of these products. How each figure is used is set out on the BigQuery ML badges page.

Cheaper ways to solve the same problem

Free to start (17)

These publish a tier that costs nothing, so they can be evaluated before any money changes hands.

What you would be giving up

BigQuery ML is most often brought in 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, running imported onnx, tensorflow or xgboost models against bigquery data. Anything replacing it has to cover the ones you actually depend on, and a cheaper tool that misses one of them is not cheaper.

Two things this page cannot settle. It compares on price, model, tier count and rating, because those are the fields the category listing carries, feature-level differences need both full records, which is what the head-to-head pages load. And the ratings are third-party aggregates imported with each entry rather than reviews written here, so a 0.2 difference between two tools is noise rather than a finding.

If BigQuery ML is broadly right and the question is cost, the BigQuery ML pricing breakdown covers every tier and what each one adds. If you want the whole field rather than a shortlist, the Machine Learning category lists everything the directory holds, and best machine learning tools ranks them.

BigQuery ML runs on web. Platform coverage is not carried on the category listing for the alternatives, so it is one more thing to check on each head-to-head page rather than here.

Questions about BigQuery ML alternatives

What are the main alternatives to BigQuery ML?
21 other machine learning tools are listed in this directory, led by AWS SageMaker, Google Vertex AI, Azure Machine Learning, DataRobot. They are ordered by the aggregated rating on each catalogue entry, not by any Softwr ranking.
What is the best free alternative to BigQuery ML?
17 of the alternatives listed here can be used without paying: AWS SageMaker, Azure Machine Learning, ClearML, Langwatch, Haystack.
Is there a reason to switch away from BigQuery ML?
Nothing in the data flags one. BigQuery ML has a free tier, and starts at Free against a category median of $17/month. Fit and workflow are the usual reasons to move, and those are not things this record can measure.
What would I give up by switching from BigQuery ML?
BigQuery ML is most often brought in 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, running imported onnx, tensorflow or xgboost models against bigquery data. Anything you replace it with has to cover the ones you actually rely on, the side-by-side comparisons linked from each alternative below put the two feature records against each other.
Is there an open-source alternative to BigQuery ML?
Dask, DVC are recorded with an open-source licence model.
How were these BigQuery ML alternatives chosen?
They are the tools filed in the same category, Machine Learning, ordered by the aggregated rating on each entry. There is no editorial shortlist, and nothing on this page is paid: no sponsored placement runs on alternatives pages and the order cannot be bought. Softwr has not used these products.
Where can I compare BigQuery ML against one of these directly?
Every alternative below has a side-by-side page against BigQuery ML covering price, platforms, features and what each one is used for. Those pages read the full record for both products rather than the summary shown here.
Does this list cover every machine learning tool?
No. It covers what this directory holds in the Machine Learning category, 21 tools beside BigQuery ML. The category page lists the rest of the catalogue as it grows.

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