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Technology

Talend Data Fabric

Last fetched

Talend Data Fabric is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under data integration, with a published adopter count of 137 hostnames.

Profile

Broader grouping
data management
Published adopter count
137

Talend Data Fabric is an integrated suite of cloud and on-premises data integration and management tools that enables organizations to connect, prepare, and manage their data across various environments. It provides capabilities for data integration, data quality, data governance, and data preparation, allowing users to create a unified view of their data for analytics and decision-making.

Vendor site: https://www.talend.com/products/data-fabric/

Sample adopters

20 hostnames WhisperGraph observed running Talend Data Fabric, a sample of the 137 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Talend Data Fabric adopters, not of all 137 published adopters. A hostname counts once per network.

Related pages

Pivot from Talend Data Fabric 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.