Apache Spark VS MapReduce
As of 30 October 2026, MapReduce is named by 192 companies and Apache Spark by 3,541; Apache Spark skews to companies under 200 people (43% vs 50%), MapReduce to companies over 1,000 (29% vs 33%).
As of 30 October 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: Apache Spark's script and mail records show on hundreds of thousands of small sites, MapReduce rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Apache Spark: 2–200 employees
- 43%
- MapReduce: 2–200 employees
- 50%
- Apache Spark: 1,000+ employees
- 33%
- MapReduce: 1,000+ employees
- 29%
- Postings per company, 90 days
- 4.0 · 2.9
- 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 | Apache Spark | share | MapReduce | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 51 | 1% | 5 | 3% | even |
| 2-10 employees | 253 | 7% | 5 | 3% | Apache Spark |
| 11-50 employees | 524 | 15% | 36 | 19% | MapReduce |
| 51-200 employees | 752 | 21% | 55 | 29% | MapReduce |
| 201-500 employees | 483 | 14% | 22 | 11% | Apache Spark |
| 501-1000 employees | 326 | 9% | 13 | 7% | Apache Spark |
| 1001-5000 employees | 557 | 16% | 26 | 14% | Apache Spark |
| 5001-10000 employees | 179 | 5% | 2 | 1% | Apache Spark |
| 10,001+ employees | 416 | 12% | 28 | 15% | MapReduce |
| Segment | Apache Spark | share | MapReduce | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 1,886 | 53% | 122 | 64% | MapReduce |
| Business & finance services | 719 | 20% | 34 | 18% | Apache Spark |
| Manufacturing & industry | 246 | 7% | 15 | 8% | even |
| Media & content | 126 | 4% | 2 | 1% | Apache Spark |
| Commerce & trade | 99 | 3% | 1 | 1% | Apache Spark |
| Utilities & infrastructure | 91 | 3% | 2 | 1% | even |
| Consumer services & leisure | 87 | 2% | 4 | 2% | even |
| Public, community & associations | 82 | 2% | 5 | 3% | even |
| Property & construction | 53 | 1% | – | – | outside top 12 |
| Health care | 49 | 1% | 3 | 2% | even |
| Transport, logistics & rental | 43 | 1% | – | – | outside top 12 |
| Automotive | 31 | 1% | 3 | 2% | even |
| Hospitality & travel | – | – | 1 | 1% | outside top 12 |
| Segment | Apache Spark | share | MapReduce | share | Leans |
|---|---|---|---|---|---|
| United States | 2,227 | 63% | 156 | 81% | MapReduce |
| United Kingdom | 252 | 7% | 4 | 2% | Apache Spark |
| Germany | 142 | 4% | 4 | 2% | even |
| India | 120 | 3% | 6 | 3% | even |
| France | 119 | 3% | – | – | outside top 12 |
| Canada | 91 | 3% | – | – | outside top 12 |
| Australia | 42 | 1% | 3 | 2% | even |
| Netherlands | 40 | 1% | – | – | outside top 12 |
| Brazil | 37 | 1% | – | – | outside top 12 |
| Spain | 36 | 1% | – | – | outside top 12 |
| Italy | 35 | 1% | 3 | 2% | even |
| Poland | 34 | 1% | – | – | outside top 12 |
| Singapore | – | – | 3 | 2% | outside top 12 |
| Austria | – | – | 2 | 1% | outside top 12 |
| United Arab Emirates | – | – | 1 | 1% | outside top 12 |
| Switzerland | – | – | 1 | 1% | outside top 12 |
| Colombia | – | – | 1 | 1% | outside top 12 |
| Cyprus | – | – | 1 | 1% | outside top 12 |
| Segment | Apache Spark | share | MapReduce | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 13,122 | 65% | 839 | 66% | even |
| Software engineering | 3,571 | 18% | 244 | 19% | even |
| IT operations & business systems | 631 | 3% | 29 | 2% | even |
| Sales | 313 | 2% | 1 | 0% | even |
| Product, program & project management | 256 | 1% | 11 | 1% | even |
| Engineering (non-software) | 112 | 1% | 5 | 0% | even |
| Customer service & success | 73 | 0% | – | – | outside top 12 |
| General management & consulting | 70 | 0% | 3 | 0% | even |
| Marketing & communications | 67 | 0% | – | – | outside top 12 |
| Finance & accounting | 63 | 0% | 4 | 0% | even |
| Legal, compliance & risk | 62 | 0% | – | – | outside top 12 |
| Education & training | 29 | 0% | 5 | 0% | even |
| Logistics warehouse and transport | – | – | 2 | 0% | outside top 12 |
| Human resources | – | – | 1 | 0% | outside top 12 |
| Unclassified | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Spark →
Companies using MapReduce →
distributed processing ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
MapReduce is named by 192 companies in job postings and Apache Spark by 3,541; 240 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-spark-vs-mapreduce)
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.
Apache Spark vs MapReduce: questions
Which is more used, Apache Spark or MapReduce?
By companies naming it in their own job postings, Apache Spark (3,541) over MapReduce (192). By website-and-DNS footprint, MapReduce (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Spark?
43% of Apache Spark companies have 2 to 200 employees, against 50% for MapReduce. 33% of Apache Spark companies have over 1,000 employees, against 29% for MapReduce.
Do companies run both?
240 companies name both in their postings, usually Apache Spark in marketing and MapReduce 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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