What is the deal with MongoDB these days? Why is it so popular? I know it is more scalable and faster, but what does it offer to you-developers? How would you compare your daily work on project between using any SQL like Postgres and Mongo? Don't get me wrong, I know something about it(I participate in great university.mongodb.com courses), but I do not see any advantages in switching to Mongo in small-scale applications, as it would take time to educate whole team and it changes nothing and even more I would have to sacrifice multidocument transactions. So what I am missing guys?
Anyway, my stack is below: Language(s): Java, Kotlin Project Management: Maven, Gradle (on Kotlin ones), NPM for frontend Version Control: Git(GitLab), SVN(iF.SVNAdmin) for docs Database: PostgreSQL+PostGIS, MariaDB, H2 in local envs, ElasticSearch for fulltext IDEs / Editors: IntelliJ <3 (Eclipse before) Back-end: Spring Testing: JUnit5, Mockito, AssertJ + Sonar for static analysis Front-End: Angular, JSF(JoinFaces+AdminFaces/PrimeFaces) if project is quick and team is inexperienced with SPAs Hosted apps: YouTrack(task management), Rancher(containerized dev/test environments), GitLab CI(CI/CD), Artifactory(maven repo), PassBolt(in-team password management), MailDev/mailtrap.io (mocking smtp), ELK (log aggregation)
Other: Currently focusing on DDD and Spring Cloud microservices running on Kubernetes
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What is the deal with MongoDB these days? Why is it so popular? I know it is more scalable and faster, but what does it offer to you-developers? How would you compare your daily work on project between using any SQL like Postgres and Mongo? Don't get me wrong, I know something about it(I participate in great university.mongodb.com courses), but I do not see any advantages in switching to Mongo in small-scale applications, as it would take time to educate whole team and it changes nothing and even more I would have to sacrifice multidocument transactions. So what I am missing guys?
Anyway, my stack is below:
Language(s): Java, Kotlin
Project Management: Maven, Gradle (on Kotlin ones), NPM for frontend
Version Control: Git(GitLab), SVN(iF.SVNAdmin) for docs
Database: PostgreSQL+PostGIS, MariaDB, H2 in local envs, ElasticSearch for fulltext
IDEs / Editors: IntelliJ <3 (Eclipse before)
Back-end: Spring
Testing: JUnit5, Mockito, AssertJ + Sonar for static analysis
Front-End: Angular, JSF(JoinFaces+AdminFaces/PrimeFaces) if project is quick and team is inexperienced with SPAs
Hosted apps: YouTrack(task management), Rancher(containerized dev/test environments), GitLab CI(CI/CD), Artifactory(maven repo), PassBolt(in-team password management), MailDev/mailtrap.io (mocking smtp), ELK (log aggregation)
Other: Currently focusing on DDD and Spring Cloud microservices running on Kubernetes