Submission declined on 31 August 2024 by 331dot (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|  |
Comment: This does little more that document the existence of Hackolade and tell what it does. Instead, it should summarize what independent reliable sources with significant coverage choose on their own to say about this and what makes it notable as Wikipedia uses the word. For a product that usually means independent reviews written by professional reviewers/critics. 331dot (talk) 09:10, 31 August 2024 (UTC)
| Company type | Private |
|---|---|
| Industry | Data Modeling, Data Management |
| Founded | 2016.[1] |
| Headquarters | Brussels, Belgium. |
Key people | Pascal Desmarets (founder) |
| Products | Hackolade Studio |
| Website | hackolade |
Hackolade is an Independent Software Vendor publishing a data modeling tool[2] for databases (relational, dimensional, document, graph), data exchanges, and applications[3]. It is used for the schema design of MongoDB[4], Apache Cassandra[5], Cosmos DB[6], Couchbase[7], Amazon DocumentDB[8], Amazon DynamoDB[9], JSON Schema[10], Neo4j[11], Swagger OpenAPI[12], and others.
Overview
editHackolade presents data models using entity-relationship diagrams[13] using information engineering notation and graph diagrams[14] Hackolade is a computer-aided software engineering tool (or CASE tool).[15] Users can use Hackolade to create conceptual and logical data models that are independent of any database technology.[16] This model can be used to create physical data model for the specific technology target. Users can then forward-engineer the data definition language or schema required to instantiate the schema for a range of database-management systems. They can also reverse-engineer. [17]
Standards
editReferences
edit- ^ About us at hackolade.com. Retrieved 2024-08-30
- ^ "Software Architecture Tools". Software Architecture. Retrieved 2024-08-30.
- ^ "Data Modeling Tools". Dataversity. 2022-06-01.
- ^ "Schema Design in MongoDB". DBTA. 2022-06-03.
- ^ "Cassandra Data Modeling Tools". Apache Cassandra. Retrieved 2024-08-30.
- ^ "Third-party data modeling tools for Azure Cosmos DB graph data". Microsoft. 2017-04-13.
- ^ "SQL to JSON Data Modeling". Couchbase. 2017-04-13.
- ^ "Document modeling with Amazon DocumentDB and Hackolade". Amazon AWS. 2022-03-28.
- ^ "Hackolade Enterprise NoSQL Visual Data Modeling". Amazon Web Services. Retrieved 2024-08-30.
- ^ "Tools". JSON Schema org. Retrieved 2024-05-30.
- ^ "NoSQL Data Modeling". Neo4j. 2019-06-28.
- ^ "OpenAPI Tools". OpenAPI. Retrieved 2024-08-30.
- ^ "DBMS Tools: Hackolade". DBMS Tools. Retrieved 2024-08-30.
- ^ "The Graph Data Modeling Hall of Fame". Graph Data Modeling. Retrieved 2024-08-30.
- ^ Teorey, Toby J.; Lightstone, Sam S.; Nadeau, Tom; Jagadish, H. V. (2011-02-10). Database Modeling and Design: Logical Design. Elsevier. p. 234. ISBN 9780123820211.
- ^ Fernandez, Iggy (2009-02-18). Beginning Oracle Database 11g Administration: From Novice to Professional. Apress. p. 131. ISBN 9781590599686.
- ^ "SQL to JSON Data Modeling". Couchbase. 2017-04-13.
Further reading
edit- Coupal, Daniel (2023). MongoDB Data Modeling and Schema Design. Technics Publications. ISBN 978-16-34621-98-4.
- Hammerschmidt, Beda (2024). Oracle 23ai JSON-Relational Duality Data Modeling and Schema Design. Technics Publications. ISBN 978-16-34623-63-6.
- in-depth (not just passing mentions about the subject)
- reliable
- secondary
- independent of the subject
Make sure you add references that meet these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.