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Google BigQuery vs Azure Data Lake Analytics Comparison

Last updated:

Google BigQuery

Starting at Contact for pricing

  • Large Enterprises
  • Small Business

Google BigQuery is a serverless cloud data warehouse that lets teams query large datasets without managing servers or infrastructure. It supports real-time analytics, machine learning integration, and data ingestion from…

Azure Data Lake Analytics

4.3(26 reviews)

Starting at $2 hour

  • Free Trial
  • Large Enterprises
  • Medium Business

Azure Data Lake Analytics is an easy to use analytics job service for quickly processing big data. With no servers to worry about, no virtual machines to manage, and no clusters to tune, you can be sure that your analyti…

Azure Data Lake Analytics leads on user satisfaction with a 4.3-star rating across 26 reviews.

Google BigQuery vs Azure Data Lake Analytics — at a glance

FeatureGoogle BigQueryAzure Data Lake Analytics
Rating—4.3 / 5
Reviews—26
Starting priceContact for pricing$2 hour
Free trial No Yes
Free version No No
Best forLarge Enterprises, Small Business, Medium BusinessLarge Enterprises, Medium Business, Small Business
CategoryData Warehouse SoftwareData Warehouse Software
PlatformsBrowser Based (Cloud)SaaS/Web/Cloud
API——
Support modesOnlineBusiness Hours, Online
CertificationsSOC 2, HIPAA, GDPR, ISO 27001—
Data residencyGlobal—

Key differences between Google BigQuery and Azure Data Lake Analytics

  • Pricing: Azure Data Lake Analytics starts at $2 hour. Google BigQuery pricing is not publicly listed.
  • Free trial: Azure Data Lake Analytics offers a free trial; Google BigQuery does not.
  • Deployment: Google BigQuery supports Browser Based (Cloud); Azure Data Lake Analytics supports SaaS/Web/Cloud.

Google BigQuery vs Azure Data Lake Analytics — find the better fit before you commit.

01

Which tool fits your team best

02

Which is actually cheaper for your team size

03

Where each product wins, per real buyers

Most Data Warehouse Software tools look identical on paper. This comparison cuts to the differences that matter — pricing structure, team fit, and what real buyers found after signing up.

Google BigQuery
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Google BigQuery vs Azure Data Lake Analytics: Biggest differences

Start here before you go deeper into features.

Google BigQuery

Best for scalable, serverless cloud data warehousing and analytics.

Choose if
  • You need to analyze large-scale datasets with a serverless architecture.
  • Your team consists of data engineers or analysts working in cloud environments.
  • You want seamless integration within the Google Cloud ecosystem for BI workflows.
Consider alternatives if
  • You are a small team with minimal data needs and limited cloud infrastructure.
  • You require transparent, predictable pricing and simpler setup for non-technical users.

Azure Data Lake Analytics

Best for

Large Enterprises, Medium Business, Small Business

Google BigQuery typically suits Large Enterprises and Small Business. Azure Data Lake Analytics tends to fit Large Enterprises and Medium Business better. The right choice depends on your team size, workflow, and whether a free trial matters.

Description

Google BigQuery is a serverless cloud data warehouse that lets teams query large datasets without managing servers or infrastructure. It supports real-time analytics, machine learning ... Read More about Google BigQuery

Azure Data Lake Analytics is an easy to use analytics job service for quickly processing big data. With no servers to worry about, no virtual machines to manage, and no clusters to tune, ... Read More about Azure Data Lake Analytics

Entry Level Pricing

  • Not Available
  • Starts from $2

Free Trial Availability

  • No free trial

User Ratings

Based on verified Spotsaas reviews

4.35

(26)

Best Company Size

Medium BusinessLarge Enterprises
—
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Software Demo

Demo

No software demo available

Azure Data Lake Analytics has not given any software demo yet

If you're the owner of this profile, add your demo.Contact us

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How do Google BigQuery and Azure Data Lake Analytics Compare on Features?

Total Features

6 Features

8 Features

Unique Features

No unique features

No unique features

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Compare Google BigQuery and Azure Data Lake Analytics on pricing

Review starting price, plan structure, and free-trial access side by side so you can see which option fits your budget and buying process.

Pricing Option

      Starting From

      • Not Available
      • $2

      Pricing Plans

      • Not Available
      • Not Available

      Pricing Page

      Google BigQuery pricing
      Azure Data Lake Analytics pricing

      Google BigQuery vs Azure Data Lake Analytics: Other Details

      Organization Types supported

      • Large Enterprises
      • Small Business
      • Medium Business
      • Individuals
      • Large Enterprises
      • Small Business
      • Medium Business
      • Individuals

      Platforms Supported

      • Browser Based (Cloud)
      • Installed - Windows
      • Browser Based (Cloud)
      • Installed - Windows

      Modes of support

      • 24/7 (Live rep)
      • Business Hours
      • Online
      • 24/7 (Live rep)
      • Business Hours
      • Online

      API Support

      • Not Available
      • Not Available
      Get help choosing
      Get help choosing

      Google BigQuery vs Azure Data Lake Analytics Security & Compliance

      Certifications, data handling, and security controls for IT and compliance evaluators.

      SOC 2

      ✓ Yes
      —

      HIPAA

      ✓ Yes
      —

      GDPR

      ✓ Yes
      —

      ISO 27001

      ✓ Yes
      —

      Single Sign-On (SSO)

      ✓ Yes
      —

      Multi-Factor Auth (MFA)

      ✓ Yes
      —

      Data Encryption

      ✓ Yes
      —

      Audit Logs

      ✓ Yes
      —

      Data Residency

      🌐 Global
      —

      Google BigQuery User Reviews & Rating Comparison

      User Ratings

      No reviews available for the product

      Rating Distribution

      No reviews available for this product

      28

      7

      0

      1

      0

      Pros and Cons

      • Serverless architecture enabling scalable data processing

      • Integration with multiple cloud data sources

      • Cost-efficient pricing model for large data volumes

      • Potentially complex setup for non-technical users

      • Pricing details not publicly disclosed

      • Processes massive parallel data transformations quickly with on-demand jobs and no servers to manage.

      • Automatic scaling handles large data volumes without worrying about provisioning hardware.

      • U-SQL blends SQL and C#, making it relatively easy to learn for those with SQL or Hadoop backgrounds.

      • There is a learning curve and platform expertise is often needed to get started.

      • Troubleshooting and debugging in a distributed environment can be difficult, sometimes requiring Azure support tickets.

      Positive Reviews

      No reviews available for the product

      No reviews available for the product

      Used Google BigQuery or Azure Data Lake Analytics? Tell buyers what actually differs.

      Media and Screenshots

      Screenshots

      Overview

      1 Screenshots

      No screenshots available.

      Videos

      video-0

      1 Videos

      No videos available.

      Top Alternatives to Google BigQuery and Azure Data Lake Analytics in 2026

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

      Frequently asked questions

      Which is better, Google BigQuery or Azure Data Lake Analytics?
      Azure Data Lake Analytics edges out the other on user ratings (4.3 vs -1.0). That said, the best pick depends on your use case, so use the comparison tables above to evaluate each dimension.
      Do Google BigQuery and Azure Data Lake Analytics offer a free trial?
      Azure Data Lake Analytics offers a free trial. Google BigQuery does not.
      What is the starting price of Google BigQuery vs Azure Data Lake Analytics?
      Google BigQuery starts at Contact for pricing. Azure Data Lake Analytics starts at $2 hour.
      What are the top alternatives to Google BigQuery?
      Top alternatives to Google BigQuery include Snowflake, Firebolt, Azure Data Lake Analytics, Metaplane, Bracket.
      What are the top alternatives to Azure Data Lake Analytics?
      Top alternatives to Azure Data Lake Analytics include Snowflake, Databricks, Google BigQuery, Continual, Arctype.