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Azure Synapse Analytics VS Google BigQuery_

As of 4 November 2026, Google BigQuery is named by 3,662 companies and Azure Synapse Analytics by 1,370; Azure Synapse Analytics skews to companies under 200 people (36% vs 46%), Google BigQuery to companies over 1,000 (27% vs 39%).

As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.

The website-and-DNS footprint is not comparable between a marketing suite and a CRM: Azure Synapse Analytics's script and mail records show on hundreds of thousands of small sites, Google BigQuery rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.

Azure Synapse Analytics: 2–200 employees
36%
Google BigQuery: 2–200 employees
46%
Azure Synapse Analytics: 1,000+ employees
39%
Google BigQuery: 1,000+ employees
27%
Postings per company, 90 days
2.6 · 2.8
Website or DNS footprint
0 · 0
1,370companies name Azure Synapse Analytics
3,662companies name Google BigQuery
431name both
3,578 · 10,341postings in 90 days, Azure Synapse Analytics · Google BigQuery
02 — Side by side

Who chooses which

Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.

By company size
SegmentAzure Synapse AnalyticsshareGoogle BigQueryshareLeans
Self-employed181%1294%Google BigQuery
2-10 employees896%3329%Google BigQuery
11-50 employees16412%54915%Google BigQuery
51-200 employees23517%82122%Google BigQuery
201-500 employees17713%49614%even
501-1000 employees15311%3479%even
1001-5000 employees24518%49714%Azure Synapse Analytics
5001-10000 employees856%1414%Azure Synapse Analytics
10,001+ employees20415%35010%Azure Synapse Analytics
By industry
SegmentAzure Synapse AnalyticsshareGoogle BigQueryshareLeans
Technology & software57442%1,62744%Google BigQuery
Business & finance services32224%80922%even
Manufacturing & industry14310%2086%Azure Synapse Analytics
Health care564%792%even
Utilities & infrastructure514%752%even
Commerce & trade413%2346%Google BigQuery
Consumer services & leisure363%1273%even
Property & construction353%541%even
Public, community & associations322%642%even
Transport, logistics & rental232%552%even
Automotive181%––outside top 12
Media & content181%2296%Google BigQuery
Hospitality & travel––592%outside top 12
By country
SegmentAzure Synapse AnalyticsshareGoogle BigQueryshareLeans
United States74755%2,09657%Google BigQuery
United Kingdom1158%2938%even
Canada594%732%Azure Synapse Analytics
Germany484%1514%even
India433%812%even
France322%1364%even
Netherlands322%461%even
Australia262%531%even
Belgium181%––outside top 12
Spain171%531%even
Poland171%371%even
Sweden171%602%even
Brazil––862%outside top 12
Postings by team (share of each tool's postings)
SegmentAzure Synapse AnalyticsshareGoogle BigQueryshareLeans
Data & AI3,07365%6,99052%Azure Synapse Analytics
IT operations & business systems3768%7546%Azure Synapse Analytics
Software engineering3758%1,98515%Google BigQuery
healthcare clinical952%––outside top 12
Sales842%3603%even
Product, program & project management732%3082%even
logistics warehouse and transport431%1481%even
General management & consulting261%540%even
Engineering (non-software)140%991%even
Customer service & success130%1051%even
Finance & accounting120%2192%even
Quality, safety & environment90%150%even
Administration & office60%50%even
Business development & strategy60%550%even
Marketing & communications60%5134%Google BigQuery
Human resources50%120%even
Legal, compliance & risk40%540%even
construction and civil30%50%even
Design & UX30%90%even
manufacturing and production30%30%even
procurement and purchasing30%50%even
Education & training10%90%even
research and science10%60%even
skilled trades and field service10%30%even
Unclassified10%220%even
Retail & store operations––90%outside top 12
arts media and entertainment––50%outside top 12
facilities cleaning and security––20%outside top 12
hospitality and food service––10%outside top 12
real estate and property––10%outside top 12
Travel, leisure & events––10%outside top 12
Go deeper

The companies behind each column

Companies using Azure Synapse Analytics →
Companies using Google BigQuery →
data warehouses olap ranked →

Cite this

Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.

Google BigQuery is named by 3,662 companies in job postings and Azure Synapse Analytics by 1,370; 431 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/azure-synapse-analytics-vs-google-bigquery)
How we know

Read from the source, not self-reported

Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →

  • Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
  • Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
  • SegmentsCountry, size and industry from the company profile built from its website.
  • Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
FAQ

Azure Synapse Analytics vs Google BigQuery: questions

Which is more used, Azure Synapse Analytics or Google BigQuery?

By companies naming it in their own job postings, Google BigQuery (3,662) over Azure Synapse Analytics (1,370). By website-and-DNS footprint, Google BigQuery (0 vs 0), because its scripts and mail records sit on many small company sites.

Who chooses Azure Synapse Analytics?

36% of Azure Synapse Analytics companies have 2 to 200 employees, against 46% for Google BigQuery. 39% of Azure Synapse Analytics companies have over 1,000 employees, against 27% for Google BigQuery.

Do companies run both?

431 companies name both in their postings, usually Azure Synapse Analytics in marketing and Google BigQuery in sales, or during a migration.

Where do these numbers come from?

From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.

Companies and people

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