There are a wide variety of applications that make up the market today, covering all the bases from gaming to education and essentially every service under the sun. There are so many foundations and frameworks that litter the industry that developers have turned to developer data platforms to make the work more efficient.
The scope of the industry is massive, with 2023 seeing roughly 90,000 applications being released for mobile on the Google Play Store alone. That doesn’t even begin to touch the iOS structure and other applications that are web-based or software-intensive. The ability of a data platform to manage data is already a given at this point, but there are still plenty of enhanced capabilities that give developers the means to more efficiently deploy their work.
It Simplifies Database Management
The most impactful selling point for a DDP is its ability to simplify database management. This means data storage and retrieval are structured and organized in a way where developers don’t need to go through so many hoops just to get what they need. When you try MongoDB and other rising DDP providers, you can see how complex data is parsed and processed for modern applications without employing systems that are cluttered and overly complex.
It Provides Better Scalability
DDP allows for more effective management of a user base and the data it produces. Because of the scalability inherently baked into the structure, you can adjust based on varying workloads regardless of how much the volume may be. Sharding and replication are just some of the methods that aid developers in scaling accordingly. On top of that, developers can choose from vertical, horizontal, or elastic scaling options to match their own preferred deployment style.
It Improves Security
The development process can be hindered quite significantly when developers are busy being plagued with vulnerabilities. When having to worry about addressing security concerns, it takes away from other improvements and potential releases. Modern DDPs have robust data protection, layered encryption, tools for scanning the development environment, and in-depth activity logging. This can be a godsend for modern developers, especially as Veracode has found that 82% of all public sector applications have security flaws.
It Provides Optimized Architecture
Developers know the importance of double-checking to see how well an application runs. With a DDP, you can collect, manage, and query essential data from within architecture that is optimized for performance. It just streamlines the process for devs but that can do wonders for improving efficiency and easing the workload. It’s a great way to monitor, backup, and distribute with little to no latency.
It Is Highly Collaborative
It’s no question that collaboration makes hitting deadlines and successfully executing tasks much easier. DDPs basically enable development teams to more effectively collaborate with each other. Changes are tracked, there are different environments that can be accessed securely, and shared environments and clusters make concurrent work easier to implement. On top of that, Forbes has noted how MongoDB has extended its platform for modern applications by implementing improved data lakes and intuitive cloud-native building.
It Has A Broad Set Of Tools For Different Use Cases
Not all developers will be working with the same goal or even background. Beyond mobile applications, you have tools, the Internet of Things, and web-driven applications to consider. A DDP is flexible in that it can be applied to all of these use cases without trouble on the developer’s end. Different tools are already integrated to adapt to these requirements.
On top of that, there are already meaty libraries and drivers for developers with different preferences or expertise. Whether you are considering R, Python, C++, or JavaScript, among others, you can functionally work with a DDP.
It Is Built To Stay Up And Running
Continuity and reliability are musts for developers. If things go down, it hurts productivity and potential profit. These platforms make use of analytics to spot inconsistencies and abnormalities in order to root them out before the system goes down. They also have easy-to-use tools that make the automation of many core tasks possible.
Because of the native JSON and BSON formats, developers also get to use simplified text-based language without sacrificing complex data structures and any nested elements. In the long run, this makes a developer’s job less of a chore and still delivers the necessary output.
