soapui VS CouchDB

Let's first try the service manually. We will use the SoapUI testing tool. After importing the WSDL, test requests are automatically created. There are two versions of the "SOAP binding" imported from the WSDL. We will use the newer one, SOAP 1.2. We just need to substitute the input number in the place of a question mark and we can invoke the web service:

SoapUI

There are plenty of tools for stress testing, read RapidAPI, paw, SoapUI, Postman, rest-assured, JMeter and so on! I'm sure they are amazing, however that's all big and heavy, slow, sometimes paid tools!

SoapUI: https://www.soapui.org/

SoapUI from SmartBear is a popular tool that gives you a great graphical UI for navigating through a WSDL. Popping open any operation gives you a sample request that you can fill in and execute from within their app:

I found SoapUI when I had to develop some SOAP services, but these days it also does REST etc just fine.

For someone like me who just does this occasionally I found it rather useful.

[1]: https://www.soapui.org

Eclipse IDE (IntelliJ when I have to depending on the team) (oh and I use the Eclipse package download site, not the installer) Bash shell (WSL on Windows) Gnu CLI commands Dbeaver (although I tend to use the version in the repos) MySQL Workbench (although I tend to use the version in the repos) Meld (like it better than any other comparison tool for ad hoc visual file compares) Apache JMeter (performance testing) (I tend to download and run manually instead of the one in the repos) GIMP Wireshark (great for figuring out why someone's fancy REST client isn't passing JSON correctly) SoapUI (or Postman depending on the team, I prefer SoapUI - which does REST)

SOAP

CouchDB

CouchDB is a json based database for simple projects. The fork pouchdb offers lots of support for offline.

Apache CouchDB belongs to the family of NoSQL databases. It is a document store with a strong focus on replication and reliability. One of the most significant differences between CouchDB and a relational database (besides the absence of tables and schemas) is how you query data. Relational databases allow their users to execute arbitrary and dynamic queries via SQL. Each SQL query may look completely different than the previous one. These dynamic aspects are significant for use cases where you work exploratively with your dataset but don't matter as much in a web context. Additionally, defining an index for a specific table is optional. Most developers will define indices to boost performance, but the database does not require it.

I just turns out you can't always do that in a real codebase. For example see here:

  https://github.com/apache/couchdb/blob/23efd8e5b1aa96ef01640fec03a5fedc945ba8b9/src/couch_mrview/src/couch_mrview_http.erl#L228

Example: Apache Cassandra, CouchDB.

For non-SQL-based databases, consider MongoDB, or CouchDB, which are very easy to get started with.

The Apache CouchDB server. It stores Annotation data.

CouchDB