Hybrid vs. Native Cloud-based Analytics
When it comes to data analytics, choosing the right deployment model is important in ensuring the effectiveness and efficiency of your analytics solution. In this article, we'll be comparing two deployment models: Hybrid and Native Cloud-based Analytics.
What is Hybrid Cloud-based Analytics?
A Hybrid Cloud-based Analytics deployment model combines on-premises data infrastructure with cloud technologies. It allows organizations to store sensitive data on-premises and utilize cloud-based analytics services to process that data. Hybrid Cloud-based Analytics is considered a balanced approach for organizations that prioritize data privacy and security.
What is Native Cloud-based Analytics?
Native Cloud-based Analytics deployment model processes data entirely on a cloud platform, bringing scalability, flexibility, and ease of use to the table. Its scalability and ease of deployment make it the best option for organizations seeking a more flexible and cost-effective way to manage their analytics data.
Hybrid vs. Native Cloud-based Analytics Comparison
Cost
Cost is a significant consideration for organizations when making any purchase decision. In terms of Native Cloud-based Analytics, you only need to pay for what you use, which makes it cost-effective for small businesses or startups that don't have a lot of resources. On the other hand, a Hybrid Cloud-based Analytics solution can be quite expensive due to the cost of on-premises infrastructure.
Security
Security is a crucial consideration for organizations that store and analyze sensitive data. Hybrid Cloud-based Analytics offers better security for sensitive data since it leverages on-premises infrastructure to store it. On the other hand, although Native Cloud-based Analytics is also secure, it is entirely cloud-based, which raises concerns about data security and privacy.
Scalability
Scalability is a major consideration for organizations looking for a data analytics solution. Native Cloud-based Analytics offers a scalable solution that can be easily adjusted based on an organization's needs. On the other hand, a Hybrid Cloud-based Analytics solution offers limited scalability since it requires additional investment in on-premises infrastructure.
Ease of Use
Native Cloud-based Analytics is incredibly easy to use, and it removes the need for complex on-premises infrastructure. Hybrid Cloud-based Analytics, on the other hand, requires an organization to manage two separate infrastructures, which can be challenging for IT teams.
Conclusion
Choosing between a Hybrid and a Native Cloud-based Analytics solution depends on an organization's specific needs. In terms of cost-effectiveness and scalability, Native Cloud-based Analytics is the better option. However, if an organization requires high levels of data security, Hybrid Cloud-based Analytics is the way to go.
That's it for our comparison of Hybrid and Native Cloud-based Analytics. We hope this has helped you make a more informed decision.