4 Trends that make Multi-Cloud Data Integration indispensable in 2021

According to International Data Corporation (IDC) by 2022 around 90% of the business enterprises will be utilizing multi-cloud architectures with an amalgam of on-premise and dedicated cloud infrastructure, globally.

Forbes also mentions multi-cloud strategy adoption as the top cloud computing trend that the industry will witness this year.

But do you really understand What Multi-Cloud is?

Read on, to know more!

Multi-cloud refers to leveraging a multitude of cloud vendors to host your data, applications, and IT infrastructure in a single ecosystem. Typically, multi-cloud can be implemented using more than one of these largest Cloud Service Providers- Amazon Web Services, Microsoft Azure, Google Cloud Platform, or IBM Cloud.

The multi-cloud architecture utilizes public, private, and hybrid cloud services and even on-premise infrastructure strategically to maneuver business enterprises. With the tactical distribution of your cloud resources between multiple providers, multi-cloud adoption can help optimize business operations and build a resilient virtual infrastructure.

In this article, we’ll be discussing the major trends that make Multi Cloud Data Management — an Indispensable part of your business strategy.

1. Innovation

AI allows businesses to improve performance through augmented intelligence, data-driven decision-making, and a personalized end-user experience.

With the markets adopting the Everything-as-a-Service model, multi-cloud caters to the users with a vast array of services — Machine Learning, Artificial Intelligence, and Analytics being some of them. SaaS deployment saves your workforce from the overheads of application and infrastructure maintenance tasks, which otherwise would have consumed a great deal of time and effort.

Also, Cloud-based SaaS platforms can reduce your TCO (total cost of ownership) by 60%, and also mitigate support and run costs drastically. Not only that, using a multi-cloud SaaS system can lower the sunk costs leading to minimized upfront investments. You can also bring down the licensing costs by 30%.

Combining the capabilities of AI and SaaS, we can automate and accelerate conventional tasks. Some examples include the usage of Pattern Recognition in the manufacturing industry to identify the patterns in production and conveyor operations. We can use predictive analytics in the retail sector to identify the points in the product funnel, leading to maximum drop-offs and friction. Optimization & personalization are omnipresent characteristics that combine capabilities of AI & SaaS would offer to the users.

Rawcubes offers seamless data management & integration which in turn can drive agile & intelligent business decisions. We combine the capabilities of AI & ML through our Knowledge Graphs to augment data that helps business stakeholders derive insights from voluminous unstructured data. The ML-oriented data discovery simplifies the time-consuming data processing, gathering, cleaning, and modifying processes.

Businesses in the manufacturing, oil & gas, automobile, and other allied industries are leveraging the power of AI-backed multi-cloud data management & discovery to make sense out of the raw data and to improve market decisiveness. With major technical overhauls and utilizing Industry 4.0 trends, businesses have been automating & integrating the supply chain & manufacturing processes greatly.

2. Multi-cloud Data Management & Integration will Strengthen Cost-Optimization

CapEx vs OpEx comparison leads to the conclusion that the cloud is undoubtedly an excellent choice while one switches IT spending to a pay-as-you-go model and reduces CapEx costs. The OpEx approach to IT expenditure gives modern businesses the agility and flexibility to stay relevant in the ever-changing markets and meet their clients’ needs successfully and efficiently.

To accelerate the adoption of the multi-cloud environment, vendors like Rawcubes are offering solutions that offer monthly and yearly subscription models where the costs can be consumed as an OpEx. If a vendor fails to meet your expectations, you aren’t locked into one IT infrastructure that you spent a lot of resources on. With multi-cloud, you can diversify your cloud portfolio picking the best services from the best providers that satisfy your needs

Multi-Cloud can greatly help in cost-optimization by avoiding vendor lock-in, optimizing performance for a multitude of services, increasing reliability, and decreasing your chances of being prone to a security attack. Not only that, but multi-cloud also allows you to choose from plenty of cloud services that meet your business requirements at a feasible cost.

3. Distributed Multi-Cloud strategy will Support Expanded Service Availability
Multi-cloud data integration services ensure effective application functioning, leading to better availability

Traditional methods of running applications pose a limitation of restricting oneself to a physical space that is in close vicinity of an organization’s infrastructure to maintain the services properly. This limits the product’s ability to be serverless and geography-independent as well as hampers the efficiency of accommodating rapidly changing technologies and customer needs.

2023 speculates that the leading cloud service providers will build a widespread presence to offer a subset of their services for low-latency application requirements just like ATMs across geographies.

The multi-cloud strategy adoption is easily expandable and meets all the demands successfully. Some factors which advocate the adoption of a hybrid multi-cloud strategy are:

  • Drive revenue growth through data and AI-driven personalized strategies
  • Increased Performance & Overhead Cost Avoidance
  • Business Agility
4. Data Security and Risk Management with Multi-Cloud Data Integration

COVID-19 outbreak compelled all of us to re-think and evaluate the current working style that we are adapted to, both on a personal & professional front. The pandemic made us realize the importance of having a comprehensive disaster recovery and a business continuity plan in place. The importance of decentralized data is ubiquitous now more than ever.

Maintaining the data in place and ensuring the security of the same in a decentralized fashion is paramount. The benefits of multi-cloud in data analytics are prominent and experts have laid enough emphasis on its importance.

With multi-cloud data analytics & integration, you can do just that—Maintain all your data in decentralized servers with intact security frameworks established.

Also, storing all your data in a single cloud server is not the best idea, since there can be instances of downtime, system failure, and outages. Thus, multi-cloud architecture should be considered if you want your business up and running at all times, and stay unaffected by the intermittent service issues.

Rawcubes offer a one-stop solution for multi cloud data management & Knowledge Graph driven intelligence using multi-cloud data strategies which can help your business grow manifold. Investing your resources in a data management platform like DataBlaze can help you streamline your data from dissimilar sources which can help you procure intelligence from raw data without even knowing the underlying implementation complexities.