Where to play Streaming databases to their Strengths?

On the meaning and Use of data stream processing Where to play Streaming databases to their Strengths?

Conventional database, and modern data stream systems are fundamentally different from each other. Each solution has their own specific application. What Streaming databases do differently, better, and sometimes worse, illuminated in this post.


Streaming databases from play everywhere on your Strengths, where information in real time and needs to be transferred.Streaming databases from play everywhere on your Strengths, where information in real time and needs to be transferred.

(© Nmedia – stock.adobe.com)

This is the German Version of the English-speaking guest contribution. For the Original, please click here: “What is a Streaming Database?”

In the case of a relational database management system, also known as RDBMS, feeds, an Administrator of its data according to their requirements in a predetermined frequency. In the case of a Streaming database, however, the data are collected in real-time, processed and enriched in the rule directly after the creation of the data itself.

No introduction in Streaming databases would be complete without mention of the fact that we are NOT talking about a particular database management system. Streaming databases can be any database that is configured for processing Streaming data in real-time. This can be time-series databases, In-Memory Data Grids, and more.

Streaming databases are available to every developer who needs to be able to react to Changes in real-time. They are particularly helpful in situations in which real-time interfaces for machine Learning, which, in turn, are dependent on the data almost immediately after the creation of a database to process.

Use cases for Streaming databases

One of the most important things in the proper use of Streaming data, the fact that there is a wide range of different application cases. One of the most famous of which is can be used in the way, such as Streaming data, to obtain data visualizations in real-time. These representations make it easier to make good and informed decisions.

Streaming data are perfectly suitable to analyze large amounts of information generated by a company every day, more effectively than it could alone ever. Due to the possibility to visualize this information in a way that they are easy for anyone to understand, companies can improve their agility, the efficiency of their processes, enhance, and much more. It can even be a way to use existing customer data to make more informed decisions regarding the improvement of customer services.

All of these insights allow managers of a company to select a much more proactive approach to their operations than would otherwise be possible. So you can identify opportunities quickly and make use of, to miss instead of you, because you were not able to process the data as quickly as necessary.

Another important use case for Streaming data and the ability to Live alerts and notifications for important events, set up is. It is a simple real-time alerts for those Changes and events that are important to you. No days – or months-long Wait for more on Ellen long reports with all sorts of useless information. All warnings are generated automatically and accurately to those persons, which need this information for their own work.

Especially for small companies, this is a huge benefit, because now you can react just as fast as their larger competitors to changes in customer behavior, or even in the market. Internally, it can also help to set the priorities for the maintenance of certain business-critical devices and other equipment. Who, for example, has a complete picture of how a certain machine works, can prioritize the maintenance.

Finally, Streaming databases are a significant advantage in the creation of applications that are deployed in the Form of a micro service architecture. With micro-services design an application as a set of loosely coupled services, which work together to form a complete Whole. This is in contrast to the monolithic applications of the past.

Streaming databases in this application will be a great advantage, because they allow the free flow of necessary information of a micro-service to the other. And not only that: The information move in real – time as these services may not function only individually but also together well, and so the experience for the end user to dramatically improve.

Advantages and disadvantages of Streaming databases

As already mentioned, is one of the biggest advantages of Streaming databases that provide both the speed and the flexibility needed for projects in which Teams must be able to make faster and more efficient than ever before to make informed decisions. This is useful in situations such as fraud detection, where every second counts.

Streaming data are not ideal for projects that work with very large data sets, or those that depend on a deeper level of Analysis. Streaming databases may also not from the nature of the types of Legacy systems, which usually only support the more traditional approaches to databases.

* Mia Liang is a freelance writer at Girls Write Tech.


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