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Amazon Redshift VS Google BigQuery_

As of 4 November 2026, Google BigQuery is named by 3,662 companies and Amazon Redshift by 2,257; Amazon Redshift skews to companies under 200 people (45% vs 46%), Google BigQuery to companies over 1,000 (27% vs 29%).

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: Amazon Redshift'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.

Amazon Redshift: 2–200 employees
45%
Google BigQuery: 2–200 employees
46%
Amazon Redshift: 1,000+ employees
29%
Google BigQuery: 1,000+ employees
27%
Postings per company, 90 days
2.3 · 2.8
Website or DNS footprint
0 · 0
2,257companies name Amazon Redshift
3,662companies name Google BigQuery
1,398name both
5,147 · 10,341postings in 90 days, Amazon Redshift · 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
SegmentAmazon RedshiftshareGoogle BigQueryshareLeans
Self-employed653%1294%even
2-10 employees1848%3329%even
11-50 employees29913%54915%even
51-200 employees53023%82122%even
201-500 employees30714%49614%even
501-1000 employees21610%3479%even
1001-5000 employees34315%49714%even
5001-10000 employees894%1414%even
10,001+ employees22410%35010%even
By industry
SegmentAmazon RedshiftshareGoogle BigQueryshareLeans
Technology & software1,11249%1,62744%Amazon Redshift
Business & finance services52223%80922%even
Manufacturing & industry1326%2086%even
Media & content1286%2296%even
Consumer services & leisure753%1273%even
Commerce & trade613%2346%Google BigQuery
Utilities & infrastructure542%752%even
Health care412%792%even
Public, community & associations372%642%even
Property & construction271%541%even
Transport, logistics & rental271%552%even
Hospitality & travel221%592%even
By country
SegmentAmazon RedshiftshareGoogle BigQueryshareLeans
United States1,47565%2,09657%Amazon Redshift
United Kingdom1627%2938%even
India653%812%even
Germany522%1514%even
Canada502%732%even
France442%1364%even
Brazil281%862%even
Australia271%531%even
Spain191%531%even
Japan181%––outside top 12
Sweden171%602%even
Singapore161%––outside top 12
Netherlands––461%outside top 12
Poland––371%outside top 12
Postings by team (share of each tool's postings)
SegmentAmazon RedshiftshareGoogle BigQueryshareLeans
Data & AI4,46264%6,99052%Amazon Redshift
Software engineering89013%1,98515%Google BigQuery
IT operations & business systems3755%7546%even
Product, program & project management1392%3082%even
Design & UX1232%90%even
Sales1192%3603%even
Marketing & communications611%5134%Google BigQuery
Finance & accounting481%2192%even
Customer service & success300%1051%even
Engineering (non-software)270%991%even
General management & consulting180%540%even
Legal, compliance & risk170%540%even
logistics warehouse and transport150%1481%even
Business development & strategy130%550%even
manufacturing and production100%30%even
Unclassified80%220%even
construction and civil70%50%even
Quality, safety & environment70%150%even
arts media and entertainment60%50%even
skilled trades and field service60%30%even
Human resources30%120%even
Education & training20%90%even
Administration & office10%50%even
healthcare support and caregiving10%––outside top 12
hospitality and food service10%10%even
Retail & store operations––90%outside top 12
research and science––60%outside top 12
procurement and purchasing––50%outside top 12
facilities cleaning and security––20%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 Amazon Redshift →
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 Amazon Redshift by 2,257; 1,398 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/amazon-redshift-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

Amazon Redshift vs Google BigQuery: questions

Which is more used, Amazon Redshift or Google BigQuery?

By companies naming it in their own job postings, Google BigQuery (3,662) over Amazon Redshift (2,257). By website-and-DNS footprint, Google BigQuery (0 vs 0), because its scripts and mail records sit on many small company sites.

Who chooses Amazon Redshift?

45% of Amazon Redshift companies have 2 to 200 employees, against 46% for Google BigQuery. 29% of Amazon Redshift companies have over 1,000 employees, against 27% for Google BigQuery.

Do companies run both?

1,398 companies name both in their postings, usually Amazon Redshift 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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