Snowpipe
E431031
Snowpipe is Snowflake’s continuous data ingestion service that automatically loads streaming or micro-batch data into Snowflake tables as it arrives.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Snowpipe canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4326403 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowpipe Context triple: [Snowflake Data Cloud, component, Snowpipe]
-
A.
The Piper
"The Piper" is a song by Swedish pop group ABBA, featured as a darker, folk-influenced track on their 1980 album "Super Trouper."
-
B.
The Pipe Yard
The Pipe Yard is a local sports stadium and community ballpark located in Lorain, Ohio.
-
C.
Plume
Plume is an American paperback imprint of Penguin Random House known for publishing a wide range of contemporary fiction and nonfiction titles.
-
D.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
-
E.
Stony Gut
Stony Gut is a historic site in Jamaica known as the birthplace and rallying ground of national hero Paul Bogle and the 1865 Morant Bay Rebellion.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snowpipe Target entity description: Snowpipe is Snowflake’s continuous data ingestion service that automatically loads streaming or micro-batch data into Snowflake tables as it arrives.
-
A.
The Piper
"The Piper" is a song by Swedish pop group ABBA, featured as a darker, folk-influenced track on their 1980 album "Super Trouper."
-
B.
The Pipe Yard
The Pipe Yard is a local sports stadium and community ballpark located in Lorain, Ohio.
-
C.
Plume
Plume is an American paperback imprint of Penguin Random House known for publishing a wide range of contemporary fiction and nonfiction titles.
-
D.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
-
E.
Stony Gut
Stony Gut is a historic site in Jamaica known as the birthplace and rallying ground of national hero Paul Bogle and the 1865 Morant Bay Rebellion.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Snowflake feature
ⓘ
data ingestion service ⓘ |
| benefit |
eliminates manual batch loading
ⓘ
reduces ingestion latency ⓘ simplifies data pipeline operations ⓘ |
| billingModel |
per-second compute usage for load operations
ⓘ
separate from virtual warehouse usage ⓘ |
| cloudIntegration |
Amazon S3
ⓘ
Azure Blob Storage ⓘ Google Cloud Storage ⓘ |
| configurationArtifact | Snowflake pipe object ⓘ |
| dataSourceType |
cloud storage
ⓘ
external stages ⓘ internal stages ⓘ staged files ⓘ |
| developedBy |
Snowflake Inc.
ⓘ
linked to:
Snowflake Data Cloud
|
| documentationURL | https://docs.snowflake.com/en/user-guide/data-load-snowpipe-intro ⓘ |
| loadBehavior | loads data as it arrives ⓘ |
| loadGranularity | file-level ingestion ⓘ |
| loadMode |
asynchronous loading
ⓘ
server-side managed loading ⓘ |
| monitoredBy |
Snowflake ACCOUNT_USAGE views
ⓘ
Snowflake INFORMATION_SCHEMA views ⓘ |
| primaryFunction | automatically load data into Snowflake ⓘ |
| providedBy |
Snowflake Cloud Data Platform
ⓘ
linked to:
Snowflake Data Cloud
|
| relatedFeature |
Snowflake streams
ⓘ
Snowflake tasks ⓘ |
| supportsFeature |
automatic file detection
ⓘ
error handling and logging ⓘ exactly-once semantics for files ⓘ idempotent loading of files ⓘ monitoring via Snowflake views ⓘ role-based access control ⓘ schema evolution handling (with configuration) ⓘ |
| supportsIngestionType |
continuous data ingestion
ⓘ
micro-batch data ingestion ⓘ streaming data ingestion ⓘ |
| targetSystem | Snowflake tables ⓘ |
| triggerMechanism |
REST API calls
ⓘ
cloud messaging services ⓘ event notifications ⓘ |
| useCase |
IoT data ingestion
ⓘ
application event streaming ⓘ log and clickstream ingestion ⓘ near real-time analytics ⓘ |
| usesConcept |
copy options
ⓘ
file formats ⓘ pipes ⓘ stages ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Snowpipe Description of subject: Snowpipe is Snowflake’s continuous data ingestion service that automatically loads streaming or micro-batch data into Snowflake tables as it arrives.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.