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Datica

5
17
+ 1
4
Enzyme

950
347
+ 1
0
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Decisions about Datica and Enzyme

Postman will be used to do integration testing with the backend API we create. It offers a clean interface to create many requests, and you can even organize these requests into collections. It helps to test the backend API first to make sure it's working before using it in the front-end. Jest can also be used for testing and is already embedded into React. Not only does it offer unit testing support in javascript, it can also do snapshot testing for the front-end to make sure components are rendering correctly. Enzyme is complementary to Jest and offers more functions such as shallow rendering. UnitTest will be used for Python testing as it is simple, has a lot of functionality and already built in with python. Sentry will be used for keeping track of errors as it is also easily integratable with Heroku because they offer it as an add-on. LogDNA will be used for tracking logs which are not errors and is also a Heroku add-on. Its good to have a separate service to record logs, monitor, track and even fix errors in real-time so our application can run more smoothly.

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Pros of Datica
Pros of Enzyme
  • 2
    HIPAA compliance
  • 1
    High touch customer service
  • 1
    Innovative platform
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    What is Datica?

    Cloud tools for healthcare. We provide a HIPAA-compliant Platform as a Service (PaaS), HIPAA-compliant Mobile Backend (BaaS), and HL7 integration services. Focus on building your digital health app, and not on compliance. Think of us as your healthcare-specific DevOps team.

    What is Enzyme?

    Enzyme is a JavaScript Testing utility for React that makes it easier to assert, manipulate, and traverse your React Components' output.

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    What tools integrate with Datica?
    What tools integrate with Enzyme?
      No integrations found
      What are some alternatives to Datica and Enzyme?
      Heroku
      Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
      Google App Engine
      Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
      Apollo
      Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
      AWS Elastic Beanstalk
      Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
      Apache Camel
      An open source Java framework that focuses on making integration easier and more accessible to developers.
      See all alternatives