Big Data
v

  In today’s blog, I’ll discuss a follow-up to the recent webinar we had comparing the RecoverX solution in Cassandra against the competition.   The Modern IT Stack There has been a fundamental shift in IT infrastructure and the evolution of the modern IT stack. From infrastructure, database, and application standpoint, organizations are moving away…

Big Data
v

As enterprise customers across industry verticals accelerate their digital transformation journeys, they are aggressively developing new modern customer-centric applications  and deploying these on next generation distributed data platforms such as MongoDB, DataStax, Cassandra, Couchbase, Apache Hadoop, Amazon DynamoDB, Google BigTable.  As a result, , security is becoming an increasing concern. There have been several large…

Big Data
v

One of the biggest requirements for businesses is to provide always-on, 100% available customer-centric experience.  May that be for your favorite eCommerce platforms/websites, banking platforms, retail platforms, social media platforms, or even product development / content management applications. As a result, the challenge for IT organizations to be able to meet this always-on business requirement…

Big Data
v

With rapid market adoption of modern applications built on next generation scale out, distributed NoSQL and big data data platforms traditional backup vendors are increasingly focused on these new workloads – at least from a messaging and roadmap standpoint.  While traditional vendors help increase customer awareness of the critical need for backup of modern data…

Big Data
v

“Products don’t build companies. People do.” From the humble roots of Chandigarh, India to the center of the spotlight in Silicon Valley, Datos IO CEO Tarun Thakur’s story is nothing short of inspiring. Dreams are not aberrations. They are meant to be lived, and Tarun is a product of grit, passion, and innovation. He anticipated…

Big Data
v

The combined force of social, mobile, cloud and Internet of Things has created an explosion of big data that is powering a new class of hyper-scale, distributed, data-centric applications such as customer analytics and business intelligence. To meet the storage and analytics requirements of these high-volume, high-ingestion-rate and real-time applications, enterprises have moved to big…