Databases · head to head
Apache Druid vs BigQuery ML

Apache Druid
Databases
Real-time analytics database for sub-second OLAP queries
- 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.
| Attribute | Apache Druid | BigQuery ML |
|---|---|---|
| Pricing model | open-source | usage-based |
| Platforms | Docker, Kubernetes, Native deployment (Java-based) | Web |
| Category | Databases | Machine Learning |
| Founded | 1999 | 2008 |
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
FreeNo 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.
SourceBigQuery 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.
SourceApache 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.
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.
SourceApache 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.
SourceRelated pages
More on Apache Druid
More on BigQuery ML
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- BigQuery ML vs Airtable
- BigQuery ML vs Cockroach Labs
- BigQuery ML vs PostgreSQL
- BigQuery ML vs Firebolt
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- BigQuery ML vs Estuary
- BigQuery ML vs TimescaleDB
- BigQuery ML vs QuestDB
- BigQuery ML vs Solace PubSub+
- BigQuery ML vs SQLite
- BigQuery ML vs SurrealDB
- BigQuery ML vs Teradata
- BigQuery ML vs TIBCO Enterprise Message Service
- BigQuery ML vs AWS SageMaker
- BigQuery ML vs Azure Machine Learning
- BigQuery ML vs DataRobot
- BigQuery ML vs Databricks
- BigQuery ML vs SAS
- BigQuery ML vs scikit-learn
- BigQuery ML vs Snowflake
- BigQuery ML vs Weka
- BigQuery ML vs MATLAB
- BigQuery ML vs Palantir Foundry
- BigQuery ML vs Apache Spark MLlib
- BigQuery ML vs Hugging Face
- BigQuery ML vs Kubeflow
- BigQuery ML vs Langwatch
- BigQuery ML vs LlamaIndex
- BigQuery ML vs Milvus
- BigQuery ML vs Neptune.ai
- BigQuery ML vs Amazon Redshift ML

