Brian Njuguna
2024-10-25 12:10:00
siliconangle.com
Based on the growing need for businesses to have the flexibility to synchronize data from a combination of on-premises and cloud environments, the Fivetran Hybrid Deployment model is emerging as an ideal data control plane, according to Anjan Kundavaram (pictured), chief product officer of Fivetran Inc.
Fivetran is a data integration platform that automates the syncing of data from various sources, such as databases, applications, and cloud services, to data warehouses or data lakes for analytics. The company’s Hybrid Deployment model enables enterprises to scale their data pipelines efficiently, Kundavaram explained.
“On one hand, you have pressure from regulators and your security team,” he said. “The solution is our Hybrid Deployment. I don’t need to waste my resources on building a data pipeline myself. I’m going to let somebody like Fivetran come and manage it, and I’m going to figure out how to build some compelling business applications. Here’s the best part, we will manage the updates for the data plane. You get kind of the benefits of SaaS but the data is always in your security zone.”
Kundavaram spoke with theCUBE Research’s John Furrier, during an exclusive interview on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the game-changing effect of the Fivetran Hybrid Deployment model when it comes to data movement between on-prem and cloud environments. (* Disclosure below.)
Through the Fivetran Hybrid Deployment model lens
Given that Fivetran Hybrid Deployment model connects both on-prem databases and cloud-based applications, it offers a cost-efficient avenue of monitoring and controlling data movement, Kundavaram pointed out. As a result, businesses get real-time and continuous updates from all their systems, whether they are on-premise or in the cloud.
“When you go to customers, they have sensitive data, whether it’s PI data, PHI data, healthcare data and so on,” he noted. “What we’re launching is a hybrid design where a control plane is where you could do configuration, you could get metadata about your data pipelines, but the data pipeline itself runs wherever you want it. We will never look at customer data, and that’s been the premise all along. The data plane, which is moving data, runs on your premises in your VPC, and all of that is managed in our control plane.”
The Fivetran Hybrid Deployment model makes developers agnostic to what the data is doing. This approach reduces infrastructure burden by utilizing cloud capabilities while still leveraging on-prem investments, according to Kundavaram.
“We’re a very customer-obsessed company,” he said. “We’ve got a simple control plane. They could go and install a local agent, and they could do this themselves. All of that data processing happens locally, and they can go into the control plane schedule. In a matter of a couple of hours, you could deploy the whole thing. You get the management benefits, and you get the cost benefits. We did a study by IDC and our media customers … are saving $1.5 mil.”
As the artificial intelligence momentum continues to gain steam, being AI ready is of atmost importance in the present digital landscape, with data being at the epicenter. The Fivetran Hybrid Deployment model makes this a reality since it streamlines data movement from different environments, Kundavaram pointed out.
“We are talking about a new age of generative AI, where data is at the center of it,” he explained. “You’re not really going to get much out of your analytics or AI applications if your data is not centralized in one place. Our mission is to be the data movement platform for the world and to make data movement as simple and reliable as electricity. Our metaphor for how we built Fivetran is how everybody wakes up thinking about making data movement our mission and making it super reliable.”
Here’s theCUBE’s complete video interview with Anjan Kundavaram:
(* Disclosure: Fivetran Inc. sponsored this segment of theCUBE. Neither Fivetran nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Photo: SiliconANGLE
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