Tips On Resolving Database Sprawl

Resolving database sprawl is one of the biggest hurdles businesses have to deal with and it’s not easy at the best of times. It’s smart to focus on a well-rounded solution that takes care of this problem.

So, what should a business do as soon as they are facing database sprawl?

Instead of panicking, it’s time to look at resolving the issue properly. Here is what a business should do as soon as it can.

Private and Public Servers

There are several ways of tackling this issue but one of the better ones is to simply split the servers and how they’re held. This means the database is split in a way where there are public and private options. The premise behind doing this is to spread out the data rather than having it in one place.

This ensures accessibility isn’t an issue and it becomes easier to determine what is important and what is not. Of course, the data still has to be appropriately protected with high-grade security solutions but it reduces the stress that is put on the system.

Cloud-Based Solutions

The idea of using cloud-based solutions is a good way to go. This enables businesses to focus on spreading the data onto a cloud network. This is far better than a stationary database that is situated on locational servers. There is added risk of doing this and it becomes impossible to manage as a business grows.

The smart thing to do is to move forward with a professional cloud-based setup as soon as possible.

The cloud is great because it eliminates any stress that is put on the setup. Remember, more and more businesses are looking into cloud networks as they realize the amount of database sprawl that has to be dealt with.

Prioritizing Data

In the past, it was okay to let the data go through and then deal with it later. However, the magnitude of how much data is going through regularly makes it impossible to manage without prioritization.

What this means is prioritizing certain subsets of data to make sure they are not getting impacted.

The rest is put to the side and filtered based on what is needed and what is not. This will vary depending on the type of data that is coming in.


Resolving database sprawl is going to involve a bit of hard work and that means implementing an automated solution. In general, when a solution isn’t automated, a considerable amount of stress is put on it moving forward. This gets in the way of progress and being able to grow at the right pace.

The data is going to accumulate with the time and that means implementing comprehensive automation into the system. By doing this, the data is smoothly processed without wasting time or getting in the way of what is happening.

Final Thoughts

This is how the database sprawl can be managed without creating long-term issues. The data is only going to increase in magnitude, which means it’s time to act quickly.