Innovative developers continue to find ways to work smarter and be more agile. To improve their productivity, developers often choose specific programming languages and databases for their projects. Each language and database offer developers a convenient data model and a simple set of APIs, making it easier to develop applications quickly.
“We started seeing the emergence of different database tiers in the back end, and databases were chosen based on the way that data was being accessed by individual applications,” Nitin Vengurlekar, Chief Technology Strategist at Oracle Public Sector, said in a recent webinar.
The creation of “service independence using best-of-breed databases for each workload and data type led to silos of single-purpose databases,” Vengurlekar said. The separation of databases according to application became challenging because the overall architecture became fragmented and it was “difficult to build a 360 view of the database workload,” he said.
Moreover, database fragmentation affects operations, data consistency, data security, and availability. In development, “proprietary APIs, languages, and transaction models lead to lock-ins,” Vengurlekar said. The fragmentation requires unique skills for each database in order to oversee operational needs and handle data limitations. The result often could be unavoidable data delays and data divergence, along with data consistency issues.
What to do? Converged databases could be the answer. They evolved as a solution to help address these issues. Oracle Database 19c is the world’s first converged database that supports multi-model, multitenant, and multi-workloads (like OLTP, analytics, and IoT). It also supports the data model and access method that development teams need and provides both the consolidation and isolation these different teams desire but don’t want to think about. Finally, and most important, it provides world-class reliability, availability, and security.
This solution becomes a unified tier with unified data management. And Vengurlekar notes this is a key value proposition. “Data liquidity increases productivity and increases the value of the data itself,” he said. “The ultimate goal is making developers and data more productive.”
Want to learn more about the power of converged databases? Click here