Softwr

Machine Learning · head to head

BigQuery ML vs SingleStore

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Rated
-
Full reviewWebsite
SingleStore logo

SingleStore

Databases

The real-time distributed SQL database for data-intensive applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; SingleStore high licensing costs that increase with data scale and cluster size
  • They diverge on capability: BigQuery ML covers SQL-based ML, SingleStore covers Real-time Analytics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where BigQuery ML and SingleStore differ
AttributeBigQuery MLSingleStore
Pricing modelusage-basedUnknown
PlatformsWebCloud (SingleStoreDB Cloud), Self-Managed
CategoryMachine LearningDatabases
Founded20082011

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 SingleStore

  • Real-time Analytics
  • Fast Data Ingest
  • In-memory Processing
  • Distributed Architecture
  • MySQL Compatible
  • Columnar Storage
  • Vector Search
  • Kafka

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 SingleStore
  • Linear and logistic regression on warehouse datanot SingleStore
  • K-means clustering and matrix factorisation for recommendationsnot SingleStore
  • Time series forecasting with ARIMA_PLUSnot SingleStore
  • Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot SingleStore

SingleStore

  • Transaction processingnot BigQuery ML
  • Data storagenot BigQuery ML
  • Application backendnot BigQuery ML
  • Reportingnot BigQuery ML
  • Data analyticsnot 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

SingleStore

  • High licensing costs that increase with data scale and cluster size
  • Eventual consistency in replication: secondary replicas may lag during high write loads
  • Complex operational setup requiring specialized knowledge for optimization
  • Vendor lock-in due to proprietary technology without open-source alternatives
  • Disorganized documentation and lack of online training resources

Pricing, plan by plan

BigQuery ML

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

SingleStore

Free
  • Free Tier$0.99/month
    • Usage-based pricing
    • Limited resources

Which should you pick?

Choose BigQuery ML if

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

Choose SingleStore if

  • You need real-time analytics.
  • You want to start without paying.
  • You work on Cloud (SingleStoreDB Cloud), Self-Managed.
  • You also want fast data ingest.
SingleStore review

Questions people ask

Is BigQuery ML or SingleStore better?
Neither clearly leads. BigQuery ML starts at Free and SingleStore at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or SingleStore?
BigQuery ML starts at Free and SingleStore at Free.
Does BigQuery ML or SingleStore run on more platforms?
BigQuery ML runs on Web. SingleStore runs on Cloud (SingleStoreDB Cloud), Self-Managed.
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 SingleStore is typically brought in for.
What can BigQuery ML do that SingleStore cannot?
BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. SingleStore covers Real-time Analytics, Fast Data Ingest, In-memory Processing, Distributed Architecture. 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.

Source
SingleStore: Does SingleStore offer a free tier?

Yes, SingleStore offers a free tier starting from $0.99/month with usage-based pricing. The free tier allows developers to evaluate the platform with limited resources before scaling to production workloads.

Source
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
SingleStore: Can SingleStore handle both transactional and analytical workloads?

Yes, SingleStore is a hybrid transactional/analytical processing (HTAP) database that combines operational (OLTP) and analytical (OLAP) workloads in a single unified engine, eliminating the need for separate systems.

Source
SingleStore: Does SingleStore integrate with Apache Spark?

Yes, SingleStore provides the Spark Connector 3.0 for bidirectional data integration with Apache Spark. The connector supports SQL, Python, Scala, Java, and R for data loading and extraction.

Source
SingleStore: Can SingleStore ingest data from Kafka?

Yes, SingleStore supports high-throughput streaming ingestion from Apache Kafka and other sources, enabling millions of events per second without requiring ETL pipelines or data movement.

Source
SingleStore: Is SingleStore available as cloud or self-managed?

SingleStore offers both deployment options: SingleStoreDB Cloud (managed service) and SingleStore Self-Managed for on-premises or private cloud deployments. The managed service handles infrastructure, scaling, and maintenance automatically.

Source
Share

Related pages

More on BigQuery ML

More on SingleStore

Keep looking

Other head to heads