Snowflake Native Apps
E431018
Snowflake Native Apps are applications built and deployed directly within the Snowflake Data Cloud, allowing developers to create, distribute, and monetize data-intensive solutions that run securely where the data lives.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Snowflake Native Apps canonical | 1 |
| Snowflake Streamlit apps | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4326307 — 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: Snowflake Native Apps Context triple: [Python (via Snowpark), relatedTo, Snowflake Native Apps]
-
A.
Snowflake Data Cloud
Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
-
B.
Databricks
Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
-
C.
Python (via Snowpark)
Python (via Snowpark) is Snowflake’s integration of the Python language for building and running data pipelines, machine learning, and other data applications directly within the Snowflake data platform.
-
D.
Java (via Snowpark)
Java (via Snowpark) is the capability within Snowflake’s Snowpark framework that lets developers write and execute data processing and analytics logic in Java directly inside the Snowflake data platform.
-
E.
Power BI Gateway
Power BI Gateway is an on-premises data gateway that securely connects local data sources to Microsoft Power BI and other cloud services for refresh and live queries.
- 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: Snowflake Native Apps Target entity description: Snowflake Native Apps are applications built and deployed directly within the Snowflake Data Cloud, allowing developers to create, distribute, and monetize data-intensive solutions that run securely where the data lives.
-
A.
Snowflake Data Cloud
Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
-
B.
Databricks
Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
-
C.
Python (via Snowpark)
Python (via Snowpark) is Snowflake’s integration of the Python language for building and running data pipelines, machine learning, and other data applications directly within the Snowflake data platform.
-
D.
Java (via Snowpark)
Java (via Snowpark) is the capability within Snowflake’s Snowpark framework that lets developers write and execute data processing and analytics logic in Java directly inside the Snowflake data platform.
-
E.
Power BI Gateway
Power BI Gateway is an on-premises data gateway that securely connects local data sources to Microsoft Power BI and other cloud services for refresh and live queries.
- F. None of above. chosen
Statements (55)
| Predicate | Object |
|---|---|
| instanceOf |
Snowflake feature
ⓘ
application framework ⓘ data application platform ⓘ |
| developedBy |
Snowflake Inc.
ⓘ
linked to:
Snowflake Data Cloud
|
| distributionChannel |
Snowflake Marketplace
ⓘ
private sharing between Snowflake accounts ⓘ |
| enables |
governed access to data within apps
ⓘ
in-account execution of application logic ⓘ multi-tenant application delivery ⓘ running applications where the data resides ⓘ secure distribution of applications across Snowflake accounts ⓘ usage-based monetization models ⓘ |
| hasFeature |
application upgrades
ⓘ
application versioning ⓘ data access controls ⓘ governed data sharing ⓘ in-place compute execution ⓘ packaged application artifacts ⓘ support for paid listings ⓘ support for private listings ⓘ support for public listings ⓘ telemetry and usage metrics ⓘ |
| integratesWith |
Snowflake data governance features
ⓘ
Snowflake role-based access control ⓘ Snowflake security policies ⓘ |
| lifecycleOperation |
develop
ⓘ
install ⓘ monitor usage ⓘ package ⓘ publish ⓘ upgrade ⓘ |
| primaryUseCase |
building data-intensive applications
ⓘ
monetizing data and analytics solutions ⓘ secure data sharing through applications ⓘ |
| runsOn | Snowflake Data Cloud ⓘ |
| securityModel |
Snowflake governance model
ⓘ
data never leaves consumer account by default ⓘ |
| supportsComponent |
Snowflake Streamlit apps
ⓘ
linked to:
Snowflake Native Apps
Snowflake stored procedures ⓘ Snowflake tasks ⓘ Snowflake user-defined functions ⓘ Snowpark libraries ⓘ |
| supportsEnvironment |
Snowflake Marketplace
ⓘ
Snowflake account ⓘ |
| supportsLanguage |
JavaScript
ⓘ
SQL ⓘ Snowpark (various languages) ⓘ |
| supportsMonetizationModel |
bring-your-own-license models
ⓘ
free trials ⓘ subscription-based pricing ⓘ usage-based pricing ⓘ |
| targetUser |
ISVs building on Snowflake
ⓘ
analytics solution vendors ⓘ data application developers ⓘ data providers ⓘ |
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: Snowflake Native Apps Description of subject: Snowflake Native Apps are applications built and deployed directly within the Snowflake Data Cloud, allowing developers to create, distribute, and monetize data-intensive solutions that run securely where the data lives.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Snowflake Native Apps