10 Ways in Memory Database is Driving Big Data

10 Ways in Memory Database is Driving Big Data

In-memory databases are quickly gaining popularity as the preferred types of databases. An in-memory database is one that process the data within the memory of the server. There are 10 reasons why in-memory databases are driving big data, and they include:

  1. In-memory databases have made it possible to process data in real-time, ensuring the data is processed while it is still relevant. This means that data gathered can be processed and the insights used immediately, as opposed to other databases which might only avail the data much later.
  2. Considering a lot of data is gathered in a matter of seconds, there is every need to ensure that process occurs at a rate that matches the speed of influx. This ensures that business value and efficiency is maintained.
  3. The in-memory database has empowered non-engineers to perform their own data analyses without relying on software developers or IT technicians. This way, line-of-business employees are at a better position to understand risks and mitigate the same.
  4. Reducing the time to insight is another reason why in-memory database is driving big data. The time required to go from raw data to business insights has gone down and this makes the monitoring process much easier for business owners.
  5. In-memory database technologies have made cloud-awareness and horizontal scalability possible. In the past, too much time and energy was focused on vertical scalability at the expense of other important aspects.
  6. When you consider hardware, the more CPUs available, the faster the data. Adopting commodity hardware with an in-memory database saves money and enables more memory and cores for faster performance.
  7. Many big data solutions are too complex and costly, and companies require to hire top-dollar data scientists for this. The in-memory database, coupled with a familiar SQL interface, makes it possible for engineers who do not have specialty code bases to understand and process big data. This way, managers can retain their engineers and get the same efficiency without having to spend too much money on hiring specialty engineers.
  8. Traditional databases have many caches and layers of infrastructure that engineers have to go through. In-memory databases have simplified this and made the process of accessing and analyzing data much easier for all parties involved.
  9. The in-memory database is one that should be adopted by all business, if not for anything else, then for its ability to reduce the cost of ownership over an entire IT lifecycle.
  10. If you have existing IT investments that need to be integrated in plug-and-play manner, then an in-memory database is just the right option for you. This means that you do not have to spend too many hours or money on integration.

One cannot say too many good things about the in-memory database and if you are an enterprise owner, you should definitely be looking to get the in-memory database, if you have not already.

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