The client is one of the fastest growing Big Data Automation software companies in the world, with over $71M in funding. The client has developed a product to accelerate cloud migration and modernize its customers’ cloud data operations – automatically. The product installs on its customers’ cloud and automates the migration of data, metadata, and workloads from Enterprise Data Warehouses and Hadoop Data Lakes to the cloud faster, with fewer resources, and at a fraction of the cost of traditional approaches. The platform simultaneously establishes scalable and agile modern cloud data operations to automate the creation and deployment of new analytics use cases.
Though the client had a large sales team, it was not growing to its full potential owing to these challenges:
To address these challenges, the client partnered with Quantilus for their customer engineering tasks and also to develop customized product extensions through a dedicated offshore center.
Quantilus participated in customer engineering tasks both at the client’s customers’ locations and through a dedicated offshore team to provide both time & cost benefits for the client. The tasks performed included:
Through the dedicated offshore team, Quantilus developed several native data connectors, covering categories such as File & API, Marketing, NoSQL, RDBMS, Storage, Streaming, EDW, E-Commerce, and more.
Quantilus also developed an end-to-end automated solution for seamless Hadoop data and metadata migration that can continuously replicate across clusters in a background process.
The client realized several benefits from partnering with Quantilus for customer engineering and product extension services:
In conclusion, partnering with Quantilus for customer engineering services proved to be a win-win situation for the client. The client could leverage the expertise and resources of our team to deliver seamless and efficient migration services to their customers, while also enjoying benefits such as increased revenue, enhanced customer satisfaction, and improved competitive edge. By addressing the complex challenges and providing end-to-end solutions for their customers, the client established itself as a reliable and trusted partner in the Big Data ecosystem.
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