The growth of cloud computing over the past decade has been astounding, but for many companies, all of that growth has also created a lot of confusion. That’s because there are many different definitions of what cloud computing actually is and how best to use it for your business.
When “the cloud” first burst onto the scene, its main purpose was to simply move individual servers from your office’s equipment equipment room to centralized data centers that offered climate-controlled facilities with uninterruptible power. This model took traditional applications from being “hosted by you” to being “hosted by you in the cloud.”
As the cloud became more powerful, however, a second type of cloud emerged, native cloud-based applications. Cloud services like Salesforce.com were among the first to embrace everything the cloud had to offer, from high-performance databases to global load balancing and most recently, artificial intelligence and machine learning for predictive analytics.
When it comes to performance, flexibility and scalability, cloud-native applications are unmatched. However, there is a caveat, especially for analytic applications. Analytics needs to remain close to the data its built on and close to the applications using them.
When these elements are separated, everything suffers, from performance and security, to user management and licensing concerns. Having third-party SaaS analytics, even if it’s in the cloud, is never as cost-effective as you might think once all of these factors are taken into account. For companies with sensitive information or tight compliance controls, using a public cloud service like Salesforce is simply not an option.
That’s why Qrvey has adopted a unique cloud deployment model that provides the best of both worlds. Qrvey is not a SaaS offering, nor are we simply software that can be hosted in the cloud. We deploy directly into your own Amazon Web Services (AWS) cloud account, so you’re always in control of your installation and your data. You can decide how big of a deployment you need and have full control to scale your instance up or down as needed.
Most importantly, your company retains full control of your data for maximum security and privacy. Qrvey is also 100% cloud-native, taking full advantage of powerful cloud services like Elasticsearch, S3, DynamoDB, Kinesis, Lamba, and dozens more. Most of these features and capabilities didn’t even exist a few years ago, but are now ushering in an entirely new level of functionality and performance.
As a result, no other analytics solution can come close to the power and scalability of Qrvey because no other solution can come close to the services we are built on.
With Qrvey, you really can have it all… an embedded analytics platform that’s deployed into your own account, but still provides state-of-the-art performance, reliability, flexibility and scalability.
David is the Chief Technology Officer at Qrvey, the leading provider of embedded analytics software for B2B SaaS companies. With extensive experience in software development and a passion for innovation, David plays a pivotal role in helping companies successfully transition from traditional reporting features to highly customizable analytics experiences that delight SaaS end-users.
Drawing from his deep technical expertise and industry insights, David leads Qrvey’s engineering team in developing cutting-edge analytics solutions that empower product teams to seamlessly integrate robust data visualizations and interactive dashboards into their applications. His commitment to staying ahead of the curve ensures that Qrvey’s platform continuously evolves to meet the ever-changing needs of the SaaS industry.
David shares his wealth of knowledge and best practices on topics related to embedded analytics, data visualization, and the technical considerations involved in building data-driven SaaS products.
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