Skip to content
Install MCP

Technology

Camava

Last fetched

Camava is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under camp management, with a published adopter count of 2 hostnames.

Profile

Category
camp management
Broader grouping
communication and collaboration, sales, customer service
Published adopter count
2
Vendor
camava.com

Camava is a reservation and point-of-sale system designed for campgrounds and outdoor accommodations. It provides real-time integration among central reservations, online booking, and point of entry modules. The platform enables businesses to offer customized interactive maps with branded campsite details, manage campground operations efficiently, and streamline reservation processes.

Vendor site: https://camava.com/

Sample adopters

2 hostnames WhisperGraph observed running Camava, a sample of the 2 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 2 Camava adopters, not of all 2 published adopters. A hostname counts once per network.

Related pages

Pivot from Camava 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 →

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 200
Run yourself →

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