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Technology

TDengine

Last fetched

TDengine is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under data management, with a published adopter count of 28 hostnames.

Profile

Category
data management
Broader grouping
data management
Published adopter count
28
Vendor
tdengine.com

TDengine is a time-series database designed for Internet of Things (IoT) and Industrial IoT applications. It handles data collection, storage, analysis, and visualization. The core architecture includes the TDengine server, client libraries, and command-line interface. It supports SQL-like querying, continuous queries, data subscription, and caching. The system can be deployed as a single node or in a distributed cluster configuration.

Vendor site: https://www.tdengine.com

Sample adopters

20 hostnames WhisperGraph observed running TDengine, a sample of the 28 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 TDengine adopters, not of all 28 published adopters. A hostname counts once per network.

Related pages

Pivot from TDengine 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.