How to implement Data-Driven Apps – Using many Single Purpose Database or with a single Converged Database?

There is an on-going debate in our community about the best approach for developing cloud-native or data-driven apps. On one side, you have folks who say use a single-purpose “best-of-breed” database for each data type or workload you have. While the other half say, you should use a single converged database. So, which approach is right for you and your projects?

Let’s examine some of the pros and cons of each approach.

Single-purpose Databases

Single-purpose databases or purpose-built databases as they are often as known, are engineered to help solve a single or small number of problems. Given their narrow focus, they can ignore the tradeoffs usually required when trying to accommodate multiple data types or workloads. It also allows them to use a convenient data model that fits the purpose and to adopt APIs that seem natural for that data model. They offer less functionality than converged databases, and therefore, fewer APIs, making it easier to start developing against them. Their simplicity means they do a few things very well, but other things not at all. For example, a lot of single-purpose databases scale well, because they offer no strong consistency guarantees.

At first glance, single-purpose databases appear to be a good option. Developers are happy because they get exactly what they need to begin a project. However, when you look at the bigger picture, single-purpose databases can cause a lot of pain and end up costing more in the long run.

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What is a Converged Database?

At the recent OOW European conference there was a lot talk about Converged Databases and how they can greatly simplify data-driven app development.

But if you missed the conference, you might find yourself wondering what exactly is a Converged Database and what is the difference between a Converged Database and an Autonomous Database?

So, I thought it would be a good idea to write a short blog post explaining what a Converged Database is and how it relates to the Oracle Autonomous Database.

What is a Converged Database?

A Converged Database is a database that has native support for all modern data types (JSON, Spatial, Graph, etc. as well as relational), multiple workloads (IoT, Blockchain, Machine Learning, etc.) and the latest development paradigms (Microservice, Events, REST, SaaS, CI/CD, etc.) built into one product.

By having support for each of these datatype, workloads, and paradigms as features within a converged database, you can support mixed workloads and data types in a much simpler way. You don’t need to manage and maintain multiple systems or worry about having to provide unified security across them.

You also get synergy across these capabilities. For example, by having support for Machine Learning algorithms and Spatial data in the same database, you can easily do predictive analytics on Spatial data.  The Oracle Database is a great example of a Converged Database, as it provides support for Machine Learning, Blockchain, Graph, Spatial, JSON, REST, Events, Editions, and IoT Streaming as part of the core database at no additional cost.

A good analogy for a Converged Database is a smartphone. In the past, if you wanted to take a picture or video you would need a camera. If you wanted to navigate somewhere you would need a map or a navigation system. If you wanted to listen to music, you needed an iPod and if you wanted to make phone calls, you would also need a phone.

But with a smartphone, all of these products have been converged into one. Each of the original products is now a feature of the smartphone. Having all of these features converged into a single product inherently makes your life easier, as you can stream music over the phone’s data plan or upload pictures or videos directly to social media sites.
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