Technology
IBM Workload Scheduler
Last fetched
IBM Workload Scheduler is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under business process management, with a published adopter count of 196 hostnames.
Profile
- Category
- business process management
- Broader grouping
- it infrastructure, operations
- Published adopter count
- 196
- Vendor
- ibm.com
IBM Workload Scheduler is an enterprise software solution designed to automate and manage the scheduling of batch workloads and business processes across diverse systems and platforms. It enables businesses to integrate, orchestrate, and execute complex workflows, improving operational efficiency and ensuring timely task execution in IT environments.
Vendor site: https://www.ibm.com/products/z-workload-scheduler
Sample adopters
20 hostnames WhisperGraph observed running IBM Workload Scheduler, a sample of the 196 published adopters.
Hosting concentration
The networks announcing the IP addresses of a sample of 20 IBM Workload Scheduler adopters, not of all 196 published adopters. A hostname counts once per network.
Related pages
Pivot from IBM Workload Scheduler 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,
candidatesRun yourself →Reads a 20-host adopter sample and the ASNs announcing its IP addresses.
MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200Run yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.