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Databases · head to head

Apache Druid vs BigQuery ML

Apache Druid logo

Apache Druid

Databases

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-
BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Rated
-

The short version

  • Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it
  • They diverge on capability: Apache Druid covers Real-time Ingestion, BigQuery ML covers SQL-based ML.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Druid and BigQuery ML actually diverge.

Attributes where Apache Druid and BigQuery ML differ
AttributeApache DruidBigQuery ML
Pricing modelopen-sourceusage-based
PlatformsDocker, Kubernetes, Native deployment (Java-based)Web
CategoryDatabasesMachine Learning
Founded19992008

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 Apache Druid

  • Real-time Ingestion
  • Sub-second Queries
  • Column-oriented Storage
  • Streaming Integration
  • Approximate Algorithms
  • Flexible Schemas
  • Time-based Partitioning
  • Kafka

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.

Apache Druid

  • Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot BigQuery ML
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not BigQuery ML
  • Time-series and event analysis at massive scale with columnar storage efficiencynot BigQuery ML

BigQuery ML

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

Where each one falls short

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

Apache Druid

  • Open-source offering lacks high-availability, distributed architecture, and enterprise security features
  • Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
  • High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment

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

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

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 Apache Druid if

  • You need real-time ingestion.
  • You want to start without paying.
  • You work on Docker, Kubernetes, Native deployment (Java-based).
  • You also want sub-second queries.

Choose BigQuery ML if

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

Questions people ask

Is Apache Druid or BigQuery ML better?
Neither clearly leads. Apache Druid starts at Free and BigQuery ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Druid or BigQuery ML?
Apache Druid starts at Free and BigQuery ML at Free.
Does Apache Druid or BigQuery ML run on more platforms?
Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). BigQuery ML runs on Web.
Can I use Apache Druid for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Druid best used for?
Apache Druid is most often used for real-time analytics platforms ingesting millions of events per second from streaming sources, applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows), time-series and event analysis at massive scale with columnar storage efficiency. Of those, real-time analytics platforms ingesting millions of events per second from streaming sources and applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows) are not what BigQuery ML is typically brought in for.
What can Apache Druid do that BigQuery ML cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions.

Answered from the vendors’ own pages

Apache Druid: Is Apache Druid free to use?

Apache Druid is an open-source project with no licensing fees. It is licensed under CC BY-SA 4.0, and the Druid name and logo are trademarks of The Apache Software Foundation.

Source
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
Apache Druid: Can I use Apache Druid for commercial purposes?

Yes, Apache Druid is open-source software available for commercial use at no cost. The CC BY-SA 4.0 license permits commercial deployment.

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
Apache Druid: Where do I find pricing for commercial support or services?

No pricing or support tiers are published on the Apache Druid homepage. For commercial support options, contact the Apache Druid community or consult additional resources beyond the project website.

Source
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