Technology
Riverbed SteelHead
Last fetched
Riverbed SteelHead is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under network management (software), with a published adopter count of 38 hostnames.
Profile
- Category
- network management (software)
- Broader grouping
- it infrastructure
- Published adopter count
- 38
- Vendor
- riverbed.com
Riverbed SteelHead is a WAN optimization solution designed to enhance application performance over wide area networks. It reduces latency and bandwidth usage through data deduplication, compression, and caching. SteelHead supports various protocols and integrates with cloud services, making it suitable for enterprises seeking efficient data transfer and improved user experience.
Vendor site: https://www.riverbed.com/products/steelhead
Sample adopters
20 hostnames WhisperGraph observed running Riverbed SteelHead, a sample of the 38 published adopters.
Hosting concentration
The networks announcing the IP addresses of a sample of 20 Riverbed SteelHead adopters, not of all 38 published adopters. A hostname counts once per network.
Related pages
Pivot from Riverbed SteelHead 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.