Oracle Hyperion VS Workiva_
As of 4 November 2026, Workiva is named by 439 companies and Oracle Hyperion by 784; Oracle Hyperion skews to companies under 200 people (16% vs 18%), Workiva to companies over 1,000 (57% vs 67%).
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: Oracle Hyperion's script and mail records show on hundreds of thousands of small sites, Workiva rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Oracle Hyperion: 2–200 employees
- 16%
- Workiva: 2–200 employees
- 18%
- Oracle Hyperion: 1,000+ employees
- 67%
- Workiva: 1,000+ employees
- 57%
- Postings per company, 90 days
- 4.8 · 1.9
- Website or DNS footprint
- 0 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | Oracle Hyperion | share | Workiva | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 6 | 1% | 2 | 0% | even |
| 2-10 employees | 20 | 3% | 14 | 3% | even |
| 11-50 employees | 34 | 4% | 19 | 4% | even |
| 51-200 employees | 68 | 9% | 48 | 11% | Workiva |
| 201-500 employees | 71 | 9% | 56 | 13% | Workiva |
| 501-1000 employees | 56 | 7% | 51 | 12% | Workiva |
| 1001-5000 employees | 201 | 26% | 116 | 26% | even |
| 5001-10000 employees | 85 | 11% | 40 | 9% | even |
| 10,001+ employees | 243 | 31% | 93 | 21% | Oracle Hyperion |
| Segment | Oracle Hyperion | share | Workiva | share | Leans |
|---|---|---|---|---|---|
| Manufacturing & industry | 223 | 28% | 95 | 22% | Oracle Hyperion |
| Business & finance services | 157 | 20% | 135 | 31% | Workiva |
| Technology & software | 108 | 14% | 65 | 15% | even |
| Commerce & trade | 55 | 7% | 30 | 7% | even |
| Utilities & infrastructure | 55 | 7% | 34 | 8% | even |
| Transport, logistics & rental | 30 | 4% | – | – | outside top 12 |
| Media & content | 29 | 4% | 12 | 3% | even |
| Health care | 27 | 3% | 9 | 2% | even |
| Property & construction | 26 | 3% | 19 | 4% | even |
| Automotive | 24 | 3% | 9 | 2% | even |
| Hospitality & travel | 20 | 3% | 9 | 2% | even |
| Consumer services & leisure | 18 | 2% | 8 | 2% | even |
| Public, community & associations | – | – | 8 | 2% | outside top 12 |
| Segment | Oracle Hyperion | share | Workiva | share | Leans |
|---|---|---|---|---|---|
| United States | 539 | 69% | 342 | 78% | Workiva |
| United Kingdom | 45 | 6% | 22 | 5% | even |
| Canada | 30 | 4% | 18 | 4% | even |
| Germany | 14 | 2% | 6 | 1% | even |
| France | 12 | 2% | 4 | 1% | even |
| Australia | 11 | 1% | 3 | 1% | even |
| India | 10 | 1% | 3 | 1% | even |
| Italy | 9 | 1% | – | – | outside top 12 |
| Singapore | 8 | 1% | 2 | 0% | even |
| Denmark | 6 | 1% | – | – | outside top 12 |
| Switzerland | 5 | 1% | 1 | 0% | even |
| Sweden | 5 | 1% | – | – | outside top 12 |
| Spain | – | – | 4 | 1% | outside top 12 |
| Brazil | – | – | 3 | 1% | outside top 12 |
| Bulgaria | – | – | 1 | 0% | outside top 12 |
| Segment | Oracle Hyperion | share | Workiva | share | Leans |
|---|---|---|---|---|---|
| Finance & accounting | 3,307 | 74% | 600 | 59% | Oracle Hyperion |
| IT operations & business systems | 340 | 8% | 64 | 6% | even |
| Software engineering | 96 | 2% | 2 | 0% | even |
| Product, program & project management | 84 | 2% | 11 | 1% | even |
| General management & consulting | 79 | 2% | 30 | 3% | even |
| Data & AI | 76 | 2% | 64 | 6% | Workiva |
| logistics warehouse and transport | 12 | 0% | – | – | outside top 12 |
| Sales | 12 | 0% | 13 | 1% | even |
| Engineering (non-software) | 10 | 0% | 1 | 0% | even |
| Customer service & success | 9 | 0% | 9 | 1% | even |
| Unclassified | 9 | 0% | 3 | 0% | even |
| Marketing & communications | 7 | 0% | 2 | 0% | even |
| Business development & strategy | 6 | 0% | 1 | 0% | even |
| Human resources | 5 | 0% | – | – | outside top 12 |
| public safety and protective services | 5 | 0% | – | – | outside top 12 |
| Administration & office | 3 | 0% | – | – | outside top 12 |
| Education & training | 3 | 0% | – | – | outside top 12 |
| construction and civil | 2 | 0% | – | – | outside top 12 |
| Legal, compliance & risk | 2 | 0% | 63 | 6% | Workiva |
| procurement and purchasing | 2 | 0% | – | – | outside top 12 |
| Design & UX | 1 | 0% | 4 | 0% | even |
| Quality, safety & environment | 1 | 0% | 16 | 2% | even |
| real estate and property | 1 | 0% | – | – | outside top 12 |
| skilled trades and field service | 1 | 0% | 1 | 0% | even |
The companies behind each column
Companies using Oracle Hyperion →
Companies using Workiva →
fpa treasury close ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Workiva is named by 439 companies in job postings and Oracle Hyperion by 784; 39 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/oracle-hyperion-vs-workiva)
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.
Oracle Hyperion vs Workiva: questions
Which is more used, Oracle Hyperion or Workiva?
By companies naming it in their own job postings, Oracle Hyperion (784) over Workiva (439). By website-and-DNS footprint, Workiva (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Oracle Hyperion?
16% of Oracle Hyperion companies have 2 to 200 employees, against 18% for Workiva. 67% of Oracle Hyperion companies have over 1,000 employees, against 57% for Workiva.
Do companies run both?
39 companies name both in their postings, usually Oracle Hyperion in marketing and Workiva 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.
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