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Tuesday, June 6, 2023

Cloud Data Protector Druva Raised $147 Million, a Valuation of Over $2 Billion

Druva, a name that is well known for its cloud data protection, has its base in Silicon Valley. Druva also provides a backup service. Druva uses SaaS tools which help it to gain more resilience related to cyber data and operations. Data management and protection SaaS technologies were introduced by Druva. This tool gained a lot of traction and raised $145M at a $2 billion value. The tool has received $475M in financing during its entire history. Druva has managed and accumulated funding of $130 million. Druva saas 2b 475mwiggersventurebeat

Druva’s operations got started in the year 2008, these operations included cloud data management and security services. Druva also provides backup services as well as recovery. 

SaaS Features And Fundings

SaaS stands for “software platform.”.”‘. A paid membership is required by the consumer to access the software. There is a recurring fee for the subscription of the SaaS. To utilize the software you need to pay the fee on a monthly basis or yearly whichever way you like it to be. 

The digital ambiance of today’s world needs much-updated technology as well as testing technique, the conversational software was not efficient enough for the same. Therefore, SaaS is here for help as it is an efficient software to fulfill the needs of consumers. Additional difficulties arrive when we see the increased data of operating systems and programming languages of mobile devices. 

There has been a lot of stack overflow because of which a number of questions have been asked to know whether the website is geared for automation. Cloud adaptation has been increasing for years therefore it is creating problems for software developers and its delivery. A similar kind of survey has been conducted by Druva which in result figured out that enterprises are facing software delivery challenges. 

Anomaly detection, coverage detection, visual inspection, self-healing, and test generation are the five various types of areas where artificial intelligence can solve issues. Machine learning can also be taken into account for solving these problems. Simplification and automation of specified procedures could also reduce the problems and make the software more efficient. 

While performing the testing process of software, if done in a proper way then changes could be required for its application and documentation which could ultimately lead to new as well as updated test requirements. 

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