In the wake of the pandemic, one trend that emerged is the need for digitalization, and this will continue – and even grow – in the future.
Let’s discuss leading trends of database innovation:
It is a well-known fact that more and more organizations are adopting cloud infrastructure. They are not only moving their generic business process applications onto the cloud but also their mission-critical applications and data.
According to recent industry research, 75% of all databases will be deployed or migrated to a cloud platform by 2022. This means that organizations are in need of cloud services and solutions that will support their cloud-native architecture. In fact, business organizations are already developing or sourcing cloud-native applications, as it allows the business processes to be more dynamic.
It’s hard to imagine that there was a time when there were other database models besides a relational one. However, there are more types, including document-oriented, graph database, time series, triple store, etc. In a rapidly digitizing world, arriving at insights from heterogeneous data will continue to remain a challenge as businesses seek to derive the most out of newer advances in technology such as AI, IoT, and beyond.
Databases will use cloud-native design to decouple storage and compute and be compatible with a wide variety of open-source standard interfaces. They will also support switching between open source systems and seamlessly connecting with multiple computing and analytical engines.
on data (time series data), and device logs.
Once a buzzword and now a fundamental requirement of any application, interface, product, and business is security. In the cloud era, maintaining the highest levels of trust and transparency, while securing data in all its forms, will remain a focus for some time to come.
Techniques like encryption in motion with TDE (Transparent Data Encryption), flexible key management, encryption at rest including SSL, traceability, and auditing are mandatory and evolving with better efficiency.
In time, what will be significant will be how to combine blockchain technology to provide immutable modification in the database system, and how to leverage new hardware to encrypt data and process encrypted data without decryption inside databases.