Shatter data silos

Many organizations today have a major problem with data silos, which occur when data is scattered across the enterprise in multiple repositories—to the point where application developers and data scientists either can’t find certain data sets or don’t even know they exist in the first place.

Data silos present several challenges for enterprises. For starters, it’s impossible to unlock the full power of the organization’s data. What’s more, data silos also impede productivity. For example, according to the Harvard Business Review, as much as 80% of a data scientist’s time is spent preparing data for analytics projects—in large part due to dispersed data sources.

With fully automated data replication and data portability, or the ability to take your data to any cloud, databases based on masterless architecture help reduce data silo

2. Power modern applications

Modern applications often need the following five key attributes from databases in order to meet user expectations and, in the case of enterprise software, deliver productivity gains:

Contextual

Always on

Real time

Distributed

Scalable

With modern databases built on masterless architecture, it’s much easier to deliver on these five attributes while supporting rapid application development and deployment in any cloud environment. Up-to-date data is always available from any geographic location and with very low latency, there isn’t any single point of failure, and applications can scale in an automatic and predictable way.

What’s more, because there aren’t any master nodes, every database node is capable of handling read and write requests, thereby accelerating performance with linear scalability.

Add it all up— a masterless architecture helps deliver strong user experiences and drives significant productivity gains.

3. Support hybrid and multi-cloud environments 

https://www.datastax.com/blog/3-reasons-you-need-masterless-architecture