Dremio, the unified lakehouse platform for self-service analytics, announced the general availability of Dremio Cloud on Microsoft Azure, bringing users closer to their data with lakehouse flexibility, scalability, and performance.
Dremio Cloud’s intuitive unified analytics, high-performance SQL query engine, and lakehouse management service for next-gen DataOps let organizations shift left for a faster time to insight, according to the company.
Dremio Cloud enables companies to rapidly derive value from their data by delivering market-leading query performance with increased flexibility, while also decreasing costs.
Dremio Cloud on Azure's next-generation architecture puts security and infrastructure flexibility at the forefront.
By providing end-to-end TLS encryption, it delivers higher levels of data security and ensures that critical data is protected. The architecture enables customers to control their data within their own Azure tenant, in storage services such as Azure Data Lake Storage (ADLS).
This model ensures that no customer data resides within the Dremio environment and reassures customers that they maintain control of their data and that it is always secure.
Dremio Cloud on Azure easily deals with a company’s rapidly changing business demands. By automatically and dynamically scaling resources based on a customer's usage and concurrency, the next-generation flexible architecture optimizes resources to meet an organization's analytical needs.
There is no longer a need for administrators to worry whether there is enough capacity or too much, or whether they need to allocate or reduce resources based on usage. Dremio Cloud on Azure dynamically and automatically handles everything, according to the company.
By eliminating time-consuming setup and management overhead, as well as long learning curves for administrators, Dremio Cloud on Azure delivers fast time to value and critical business insights.
With Dremio Cloud, organizations do not need to worry about hardware acquisition, server configuration, software installation, software setup and configuration, or security setup and configuration.
Management tasks such as infrastructure management, manual upgrades for infrastructure, creating and managing certificates, backup tasks, or even system tuning and configuration are all automated. Data teams no longer need to worry about setting up and managing their analytical environment; they can focus on querying data, gaining insights that drive value for the business.
"Dremio Cloud on Microsoft Azure is a game-changer for organizations seeking self-service analytics with flexibility in a SaaS environment. It provides market-leading SQL query performance coupled with unified data access and robust lakehouse management functionality. This empowers companies to efficiently unlock the value of their data, offering faster time to insights and cost-effective solutions. We're thrilled to bring Dremio Cloud to Azure, enabling our customers to experience the future of data management,” said Tomer Shiran, founder and CPO of Dremio.
For more information about this news, visit www.dremio.com.