What is MongoDB? Is it edible?


You are probably here because our first articles baited you, or you came via Google and think about using MongoDB in your application. You probably want to know, how to use it to get an advantage over a relational database like Postgres. Let us first revise the CAP theorem for a second. (more…)

Slicing a RDBMS into a neo4j Graph


Time to take a look at a database, implemented in Java. Yes, Java! In a contrary to the popular belief, it is possible to produce a fast Java application. Let’s get specific! You probably heard about graphs. If not, check out this Wikipedia entry. Entities are represented by nodes, relations by edges. This allows you to quickly access relations between the entities. For example, all friends of friends are easy to find, since you only have to look at all the entities connected via “friend” edge and do that again for your friends. The result is a collection of friends of friends. Without using a single join table. The database is on the AC side of the CAP­Theorem, together with your usual RDBMS. (more…)

One Swift to store them all – Part 2

This is the second part of our series about Swift.
In case you missed part one – have a look here.

Let’s get more tech

Now let’s get to the part about the process line and what is done on which step. So it’s more interesting for technical readers instead of business-related ones.

First of all, you finished your conceptional work including all cluster requirements. The next step is pretty simple, just install your cluster in a stage environment.  In our case in means as follows: (more…)