As a software house working with tech startups it’s wise to be up-to-date with nowadays trends. We thought it might be interesting to get some insights from other sources. Our first idea was to look directly at job offers. Therefore we have analysed almost 300 of this year’s job offers from Berlin Startup Jobs. Although it’s not a super-reliable statistical sample, we can at least get a quick overview of Berlin tech trends. Here is the short summary.
Before we jump into insights I’d like to briefly describe our approach. Generally we used basic R features to crunch and visualize data. Firstly, we scraped data from BSJ. Then, we came up with several categories for collections. Thirdly, we prepared respective search terms to get meaningful data within tech context. Finally, we published data directly from RStudio using simple yet feature-rich shiny.
Languages from Hacker News headlines like Rust, Golang or Clojure are barely apparent. So is the primary Microsoft language - C#.
As the third of all analysed job offers is about front-end workforce, let’s take a look at particular technologies. Over a half of front-end offers mention AngularJS. The web framework from Google quickly gained popularity thanks to speed of development and being mobile first. Over time, perhaps, it’s become too cumbersome for some of CTOs and they pursued something else. React, backed by another Internet giant - Facebook, seems to be an answer. We can see that in Berlin it’s gaining its momentum as well.
Good old chap jQuery, even though it’s 10 years old next year, it still seems to be a lingua franca of modern web development.
This chart shows different types of cloud providers meaning IaaS and PaaS. Amazon Web Services is apparently the alone leader when it comes to IaaS. Low levels of PaaS platforms may result from the fact that they don’t take a rocket scientist to use them in simple scenarios.
Berlin is SQL-strong. Although there’s a significant number of NoSQL tools like Redis or MongoDB, they’re very rarely to be the only DB in the whole environment. SaaS DBs like Parse or Firebase are still not trusted. And contrary to this ranking there’s no Oracle at all.
We found it a bit difficult to group some of quite popular tools into clear-cut categories. So we’ve created this vague collection to give you the perspective about popular big data concepts. The chart confirms that Elasticsearch, a successful startup itself, is on it’s way to be a leading search tool for enterprise.
Having seen stackshare popularity metrics, we could have expected more entries as far as automated delivery is concerned. Perhaps these tools have a good learning curve and startups do not seek solid experience for that. On top of that, we’ve compared version control systems and there’s only one hero.
The market is equally shared by iOS and Android. Plus you can see that Swift has been quickly adopted since its release in 2014.
Finally we wondered what’s the status of popular ecommerce and CMS tools. Well, nothing much here to say. It seems CTOs go for bespoke systems or we’ve missed something obvious.
It would be interesting to match these offers with Mattermark data in order to figure out some interesting correlations between tech stack, growth, number of users, or funding. Unfortunately Mattermark covers only less than 30% of companies we’ve taken into account, so it won’t give us any interesting insight now.
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