词条 | Draft:Hackolade |
释义 |
{{Primary sources|date=December 2018}}{{Use mdy dates|date=December 2018}}{{Infobox software | logo = Logo-hackolade.jpg | developer = IntegrIT dba Hackolade | latest release version = 2.3.3 | latest release date = {{release date|2018|11|23}} | operating system = Windows, Mac and Linux | programming language = JavaScript, Electron, ReactJS | license = {{Plainlist|Commercial proprietary software | website = {{URL|https://hackolade.com/}} }} Hackolade is a visual software for the physical data modeling of NoSQL and multi-model databases which support the use of Big Data, non-relational data, and graph data.[1]. NoSQL databases have sometimes been labelled schemaless[2] or non-relational, and they allow a dynamic schema design[3] to help information architects and developers leverage the power and flexibility of JSON when storing semi-structured and unstructured data[4]. Hackolade extends entity-relationship modeling to handle the complex hierarchical JSON structures found in document store databases[5]. OverviewHackolade is an application written in JavaScript[6] and packaged with Electron[7] to run on Windows, Mac, or Linux. It fits in a new era of IT architectures where Agile software development, Microservices, containers, NoSQL databases, and cloud are extremely prevalent[8] to perform the database schema design of NoSQL and REST APIs. HistoryHackolade launched a first version at the MongoDB World conference[9]. It introduced a release for AWS DynamoDB in December 2016[10], and Couchbase in May 2017[11]. In November 2017, Hackolade received certification for the Enterprise version of MongoDB[12]. In September 2018, Hackolade launched version 2 which adds support for graph databases and Neo4j[13] Features
Standards
Supported databases and targets
See also
References1. ^{{Cite web|url= http://www.dataversity.net/brief-history-data-modeling/|title= A Brief History of Data Modeling|website=Dataversity| date=2017-05-30}} 2. ^{{Cite web|url= https://martinfowler.com/articles/schemaless/|title= Schemaless Data Structures |website=Martin Fowler| date=2013-01-07}} 3. ^{{Cite web|url= http://www.dataversity.net/data-modeling-lends-hand-nosql-databases/|title= Data Modeling Lends a Hand to NoSQL Databases |website=Dataversity| date=2016-09-15}} 4. ^{{Cite web|url= http://www.dataversity.net/brief-history-data-architecture-shifting-paradigms/|title= A Brief History of Data Architecture: Shifting Paradigms |website=Dataversity| date=2017-08-09}} 5. ^{{Cite web|url= https://www.eckerson.com/articles/looking-back-at-edw-2017|title= Looking Back at EDW 2017 |website= Eckerson | date=2017-04-12}} 6. ^{{Cite web|url= http://mongodb-tools.com/tool/hackolade/|title= MongoDB Tools |website= MongoDB-Tools | access-date=2018-11-28}} 7. ^{{Cite web|url= https://github.com/sindresorhus/awesome-electron/blob/master/readme.md |title= Awesome Electron Tools |website= GitHub Sindre Sorhus | access-date=2018-11-28}} 8. ^{{Cite web|url= https://sdtimes.com/cloud/new-era-architectures |title= A new era in IT architectures |website= SD Times | date=2017-12-26}} 9. ^{{Cite web|url= https://www.crunchbase.com/organization/hackolade |title= Crunchbase Companies |website= Crunchbase | access-date=2018-11-28}} 10. ^{{Cite web|url= https://aws.amazon.com/dynamodb/community/ |title= Hackolade Enterprise NoSQL Visual Data Modeling |website= Amazon Web Services | access-date=2018-11-28}} 11. ^{{Cite web|url= https://dzone.com/articles/sql-to-json-data-modeling-with-hackolade |title= SQL to JSON Data Modeling With Hackolade |website= DZone | date=2017-05-12}} 12. ^{{Cite web|url= http://www.dbta.com/Editorial/News-Flashes/Hackolade-Receives-MongoDB-Enterprise-Certification-121874.aspx |title= Hackolade Receives MongoDB Enterprise Certification |website= DZone | date=2017-12-21}} 13. ^{{Cite web|url= http://graphdatamodeling.com/Graph%20Data%20Modeling/HallOfFame/DMHallOfFame.html |title= The Graph Data Modeling Hall of Fame |website= Graph Data Modeling | access-date=2017-12-21}} External links
Creation of the page Hackolade |
随便看 |
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