Deliver Big Data tools and services on demand
The volume, velocity, and variety of data that is being generated today has overwhelmed the capabilities of current infrastructure and analytics solutions. We are now experiencing Moore’s law for data growth: data is doubling every 18 months. IDC forecasts that by 2025, the global datasphere will grow to 163 zettabytes (that is a trillion gigabytes). That’s ten times the data generated in 2016.

In order to solve this data explosion challenge, modern Big Data solutions must uses a slew of new tools such as Hadoop, Spark, Tensor Flow (for deep learning) and NoSQL databases such as MongoDB, Cassandra, etc., which all have to be deployed, integrated, and operated as a whole. Additionally, these use cases have widely varying demands on the underlying infrastructure for performance, latency, and capacity requirements. Operating this diverse set of requirements manually can be daunting, time-consuming, and expensive.

ZeroStack’s Big Data-as-a-Service capability gives customers powerful features to automate deployment, integration, and operations of a variety of popular and modern Big Data tools, providing self-service options to data scientists and developers while allowing the cloud administrator to maintain control via quota management and fine-grained access control.