Skip to content

Technology

Apache Hadoop MapReduce

Last fetched

Apache Hadoop MapReduce is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under big data processing, with a published adopter count of 4,306 hostnames.

Profile

Broader grouping
data management
Published adopter count
4,306

Apache Hadoop MapReduce is a programming model and software framework for processing large data sets in parallel across distributed computing clusters. It divides tasks into a Map phase, which processes input data into intermediate key-value pairs, and a Reduce phase, which aggregates those pairs to produce final results. The framework provides fault tolerance by automatically re-executing failed tasks and is designed to operate on commodity hardware, making it suitable for batch-oriented, large-scale data processing workloads.

Vendor site: https://hadoop.apache.org/docs/r1.2.1/mapred_tutorial.html

Sample adopters

20 hostnames WhisperGraph observed running Apache Hadoop MapReduce, a sample of the 4,306 published adopters.

Related pages

Pivot from Apache Hadoop MapReduce into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.