Merging the Key Elements of a Seamless Converged Data Platform

Companies pursuing digital transformation and omnichannel customer experience initiatives often find that their existing IT infrastructure is unable to support the speed and scalability these initiatives demand. Companies that have adopted web, mobile, social and IoT technologies to support their transformation have experienced 10-1000 times increases in queries and transactions.

The need to provide a more personalized, real-time end user experience has forced companies to transform processes that previously took hours or even days into real-time, automated processes to drive optimal business performance.

NoSQL

These initiatives have created new end user and business data sources that have resulted in a 50 times explosion in data volumes over the last decade. How can companies support 10-1000 times increases in the volume of queries and transactions, leverage 50 times as much data to make better decisions, and do everything that used to take hours or days in real-time?

The answer is a converged data platform based on in-memory computing.

What is a Converged Data Platform?

According to 451 Research, a converged data platform includes:

  • Distributed Grid/Cache
  • Stream Processing
  • Relational Operational Database
  • NoSQL Database
  • Hadoop
  • Analytic Database
  • Containerization
GridGain In-Memory Computing Solutions

The GridGain ® in-memory computing platform includes all the elements of a converged data platform including:

NoSQL

GridGain seamlessly integrates with relational operational databases (RDBMS), NoSQL databases, and with Hadoop data lakes while offering ACID transactions, ANSI-99 SQL, query processing acceleration, and massive scalability. Once data is uploaded into GridGain, analytics at in-memory speeds can be run on the data in the GridGain cluster. GridGain is easily containerized using solutions such as Docker or Kubernetes for ease of deployment and can be deployed anywhere including on-premises, on a public or private cloud, or on a hybrid environment.

Learn About the Emergence of Converged Data Platforms

Learn more about the emergence of the converged data platform by watching our webinar with Matt Aslett of 451 Research entitled "The Emergence of Converged Data Platforms and the Role of In-Memory Computing".