Scala vs. Spectrio

If you are in the data science world, Scala is the best language to work with Spark, the defacto data science data store. I think that is really the main likely reason I would ever recommend Scala. Another reason is if you already have a team of programmers familiar with functional programming, e.g. they all have years of Haskell experience. In that case, I definitely think Scala is a superior and faster-growing language than Haskell and that picking up Scala after Haskell should be quick.

Incentivized

I like the fact that I can adjust how long each slide is displayed. Some slides don't need to show for very long, like the weather, while others require more reading and being able to adjust how long they show is very useful. The support they provide for any questions was easy to schedule.

• Compatibility with Java: if you are switching off of Java onto a new language, one reason to pick Scala is that it is about 99% compatible with Java, so any Java libraries or code you were using before can be called from Scala (not vice-versa though).
• Great built-in features for managing concurrency (e.g. Futures, Actors, and Akka). Making the most of every single thread on the machines your Scala code is running on is much easier and safer than doing it with Java. Scala abstracts away thread pools and threads quite well with Futures. I wouldn't say Futures are easy to learn though....but they are definitely safer to use than pure threads.
• Null-pointer safety: In Scala, null pointers are rare because most libraries pass around a class called Option when whatever you are referencing could possibly be null. Options are first-class and the functional nature of Scala combined with Options means you can almost always avoid referencing a null directly using Option.map or Option.flatMap (see here for what they do https://www.scala-lang.org/api/current/scala/Option.html). That means you'll almost never encounter another null-pointer exception unless you do something quite stupid and avoidable. Java has Options for helping with this now, but it's not widely used and not nearly as powerful.

Incentivized

• Using templates for quick content creation.
• Managing all screens in real-time and from a single dashboard.
• Intuitive and cost effective.

Incentivized

• The social media feed is not editable.
• The social media feed cuts off link previews in posts, which can hurt posts that rely on visual context.

Incentivized

• The equipment is excellent and the product is built to last and simple enough to use.

The Scala community is still pretty active and friendly. Martin Odersky, the creator Scala, and his team are sill quite passionate and gone above-and-beyond to fix bugs and address the need for more features. They also have a company called Lightbend that will help you integrate Scala into your engineering stack. I have heard mixed things about them but never worked with them myself so take what I say with a grain of salt.

Incentivized

They provide templates that can be customized as needed based on your branding requirements. It also helps since we don't have an in-house marketing team to make things look fancy when creating from scratch. The software is intuitive and easy to use. It also offers the ability to collaborate on specific playlists for users both within and outside of the company.

Incentivized

• Scala has helped market accounts in-branch in a more visually engaging way than your garden-variety collateral.
• Scala players have shut down on more than one occasion, and it can take time to order and receive a replacement.

Incentivized

• Obviously, I am very satisfied with this solution. I would say the reason is a sum of factors, such as an easy to use dashboard, automatic content generation, a variety of different applications, which can cover almost any request from the client.