6 Cloud Database Trends for 2022
Databases have always been defined by a consistent and reliable structure, without frequent and drastic changes. However, the COVID-19 pandemic is playing a significant role in transforming the way businesses interact with their customers as well as their workforce. Part of this digital transformation involves increased adoption of cloud computing in the enterprise. Databases are evolving to process more data and integrate more intelligence. To better support this evolution and take advantage of the economic advantages of the cloud, companies are increasingly adopting cloud databases.
In July 2019, Gartner reported that by 2022, 75% of all databases will be deployed or migrated to the cloud for improved analytics and as a database-as-a-service (DBaaS) offering.
Today, market growth is driven by enterprises migrating their sprawling database infrastructures to the cloud, where faster integration and configuration prove more attractive than on-premises solutions. Improved security protocols and the availability of compliance tools to support the rise of remote working are also playing a significant role in the current market growth.
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The advantages of cloud databases
Compared to expanding on-premises server capacity, setting up cloud databases could be much cheaper. The upfront cost of on-premises servers is significant, not considering maintenance and administration costs. Businesses benefit from a pay-as-you-go model characteristic of most cloud services, enabling cost-effective deployments.
Companies that run their own services know how demanding it can be. To improve business efficiency, adopting cloud database solutions can free businesses from managing their own services and maintaining expensive hardware to anticipate periodic traffic spikes. Cloud databases are elastic and scalable because they inherently lack restrictions in their ability to grow.
Companies with mobile teams need an infrastructure that allows teams to access workloads with the highest degree of security and efficiency, regardless of their geographic location. Cloud databases are beneficial for these businesses as they can be accessed remotely from many devices without loss of quality of service.
The value proposition of cloud technology for businesses is highly dependent on guaranteed reliability, which includes built-in redundancy and can provide round-the-clock availability.
Cloud Database Trends
Fully managed cloud databases
Self-managed databases are time-consuming and inefficient. Companies that take on the responsibility of maintaining and evolving their databases themselves in a digital transformation landscape find that these time-consuming tasks can be offloaded to allow teams to work faster on delivering applications, of products and services.
Artificial intelligence enhances cloud databases to provide features such as automated monitoring and anomaly detection, predictive analytics, and a more intuitive user experience, among others. Fully managed databases aim to automate tasks such as patching, tuning, and upgrades. Automated cloud databases allow businesses to recover quickly from outages. Businesses have automated system backups and restores. Additionally, enterprises can enforce configuration standards and policies by offering standardized services and various compliance tools.
However, the challenge facing self-managed databases is the nuances between users that introduce complexity, making it more difficult to automate a database end-to-end.
Also read: 3 reasons to outsource the management of your public cloud
Increase in streaming database demand
Billions of devices are generating data at all times. A large portion of them are Internet of Things (IoT) devices producing data on weather, device health, soil quality, telematics, patient and machine health, to name a few. some. This data is immutable because it cannot or should not be deleted or modified. Since all of this data is stored instead of being updated in storage, businesses need a database that allows data to flow and be timestamped.
Time series databases go beyond timestamps. Some improve data query speed by tracking and indexing data through dedicated functions and syntax. They must also be able to consume unstructured data using specialized protocols.
A key differentiator between time series databases and traditional databases is their efficient ability to store and provide access to vast volumes of data. The exponential generation of streaming data reflects the growing importance of IoT and the rapid adoption of edge computing. Therefore, the demand for time series databases is increasing.
Better adoption of graph database
Businesses increasingly need to manage connected data due to the continuous explosion of data. Graph databases are an ideal solution for storing data as well as better establishing relationships between data compared to traditional relational databases.
Compared to relational databases, graph databases provide superior performance when querying related data, large or small. They also deliver consistent performance with increased data size, making them an exceptional solution for real-time Big Data queries.
Another advantage for graph databases is that some graph query languages are Turing complete. Algorithms can be written there. And, they serve as a good artificial infrastructure due to the quality of the relational data structure between the entities.
Since graph databases do not need the rigid design and data structure protocols associated with relational databases, their popularity as a cloud database solution has grown as they offer efficient storage complex sets of relationships.
Increase in cloud deployments and migrations
More and more databases are deployed or migrated to the cloud. These deployments and changes are driven by the ecosystems being developed around cloud service providers. Such ecosystems make it possible to integrate a number of services within a cloud service provider. This contrasts sharply with an on-premises deployment approach, where standalone products and services rarely have inherent capabilities to support integration with other products.
To enhance their dynamism, companies are increasingly looking for cloud services and ecosystems that will support their cloud-native architecture and applications. Additionally, the lack of heavy hardware investments and the promise of ease, flexibility, and availability offered by cloud databases provide additional motivation to increase cloud migrations and deployments.
More multi-cloud clusters
Generating insights from heterogeneous data continues to be a challenge with rapid advances in technology. To stay competitive, companies need to derive actionable insights from emerging technologies. This means that databases must be compatible with large open source systems and have the ability to connect to many analysis and calculation engines. Businesses also need protection against outages caused by failures of public cloud service providers.
With multi-cloud deployments, businesses benefit from guaranteed availability, scalability, and better performance. Cloud databases now take advantage of this by giving users the ability to run applications on multiple cloud infrastructures simultaneously. As a result, high availability of databases is achieved.
The use of outdated security processes and the reliance on native security practices show how on-premises databases do not guarantee data security. Security is built into cloud databases, with techniques such as Transparent Data Encryption offering file-level database encryption. The evolution of this technique, along with techniques such as flexible key management, is likely to allay enterprises’ cloud security concerns and motivate them to adopt cloud databases. Emerging technologies, such as blockchain, are also evolving to provide potentially robust and enhanced security in cloud database environments.
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