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AWS Lake Formation

Last fetched

AWS Lake Formation is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under data management, with a published adopter count of 1,857 hostnames.

Profile

Category
data management
Broader grouping
data management
Published adopter count
1,857
Vendor
amazon.com

AWS Lake Formation is a service that simplifies the process of setting up and managing data lakes on Amazon Web Services. It enables users to collect, catalog, and secure data from various sources. The service streamlines data access and governance, facilitating analytics and machine learning applications across large datasets.

Vendor site: https://aws.amazon.com/lake-formation

Sample adopters

20 hostnames WhisperGraph observed running AWS Lake Formation, a sample of the 1,857 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 AWS Lake Formation adopters, not of all 1,857 published adopters. A hostname counts once per network.

Related pages

Pivot from AWS Lake Formation 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.