ROM VS Sequel

Object Mapper: rom-rb/rom: Data mapping and persistence toolkit for Ruby

Just wanted to say that the authors libraries, especially ROM [0], are incredible and have played a huge influence on me as a developer. I learned a lot using and diving through the code.

[0]: https://rom-rb.org/

Better gems. dry-rb, ROM, and Hanami are doing interesting stuff. I also hear web_pipe is popular?

This is exactly how I ended up contributing to DataMapper, then joining the core team, then releasing Virtus, then working on DataMapper 2.0, then turning it into rom-rb, then joining dry-rb and building 1.25 library / month on average for about 2 years or so to eventually join Hanami team...and, yeah, it's been kinda nuts now when I look back.

Ruby Object Mapper

While Ruby is not this famous anymore, I still wanted the stack in my architecture. I eschewed Ruby on Rails in favor of the leaner Sinatra framework. I use sequel for database access. The dynamic nature of the language was a bit of a hurdle, which is why it took me more time to develop my service than with Go.

Some of the most enlightening books I’ve read when I was first learning Ruby were Text Processing in Ruby, and Building Awesome Command Line Apps in Ruby 2. They each reveal certain features and perspectives that work towards this end, such as text parsing moves, Ruby flags to help you build shell 1-liners you can pipe against, and features with stdio beyond just printing to stdout.

Then add in something like Pry or Irb, where you are able to build castles in your sandbox.

Most of my data exploration happens in Pry.

A final book I’ll toss out is Data Science at the Command Line, in particular the first 40 or so pages. They highlight the amount of tooling that exists that’s just python shell scripts posing as bins. (Ruby of course has every bit of the same potential.) I had always been aware of this, but I found the way it was presented to be very inspirational, and largely transformed how I work with data.

A good practical example I use regularly is: I have a project set up that keeps connection strings for ten or so SQL Server DBs that I regularly interact with. I have constants defined to expedite connections. The [Sequel library](https://sequel.jeremyevans.net/) is absolutely delightful to use. I have a `bin/console` file that sets up a pry session hooking up the default environment and tools I like to work with. Now it’s very easy to find tables with certain names, schemas, containing certain data, certain sprocs, mass update definitions across our entire system.

```

Thea answer to your prayers already exists: http://sequel.jeremyevans.net/.

By far the best database toolkit (ORM, query builder, migration engine) I have seen for any programming language.

Ruby sequel (http://sequel.jeremyevans.net/) is the only library where you can combine classic ORM Model bases usage, with a more raw query builder "just get me all the data into plain objects". You'll never need anything again in your career life.

If you want a db tool which can be an ORM for your app, and drop down to a lower level dsl, while targeting specific features of the databases it supports, + having a "composable superset for building queries", there's [ruby sequel](http://sequel.jeremyevans.net/), which is the best tool of the kind you'll get for any proglang. Everything the author wants, minus the typrchecking perhaps, which is IMO shooting at the stars.