Serverless Engine - Availability

Makes it possible to process big volumes of data at a high velocity with the Serverless Engine. At the same time, it accommodates a variety of data sources and formats with Heterogeneous Adapters.

Serverless Engine

Big Data projects are complex and require a lot of effort and resources to get initial results. Zentadata's Serverless Engine helps to address most of these challenges and focus on business logic:

  • • Create Big Data jobs directly within your existing apps.
  • • Eliminate the need to build, deploy and schedule cluster specific code.
  • • Run your app anywhere and all heavy data processing will be executed by Zentadata's Serverless Engine in a distributed, automatically scalable environment.
Heterogeneous Data Adapters
  • • Any modern enterprise relies on a number of different applications and databases with a wide range of data formats – a.k.a. Heterogeneous Data Sources. It introduces a challenge when systems are not able to effectively communicate with each other, and thus not able to cover end-to-end data analytics.
  • • Zentadata is shipped with multiple adapters able to interact with most modern Enterprise Systems. At the same time, these adapters are intended to abstract incompatible data sources into a unified data layer - making data available in a simple, standardised way for the end user.