Big Data as a Service (BDaaS) – An Emerging Trend of 2015

The Analytics landscape is developing at a fast pace. In such a scenario, where technologies keep crossing over to the analytics domain, you need to catch up with emerging technologies, tools and terminologies.

In pursuance with IVY initiatives to keep you up-to-date with innovative technologies in use, we have devoted this blog to a technology we predict will emerge as a trend in 2015.

The Big Data trajectory

Businesses today are driven by increased consumerisation, competition and data explosion. Complexity and scalability of disparate data pose a challenge for the traditional analytics and database technologies. Real-time processing of Big Data using the cloud as an enabler, has thus become the norm. Disruptive Technologies underpinning SMAC (social, mobile, analytics, cloud) have driven new business scenarios that make the best use of data.

Usher in a new era. An integrated and managed Big Data platform designed as-a-service model, to utilise web technologies for easy fast deployment of real-time analytics – the BDaaS, an on-demand service.

What is BDaas?

It is defined as  “the delivery of statistical analysis tools or information by an outside provider that helps organizations understand and use insights gained from large information sets in order to gain a competitive advantage”.BDAASWhat does the BDaaS do?

  • Provides a managed analytic environment, scaled to tackle complex problems
  • Is available as a platform or infrastructure, with analytics
  • Has a platform that supports data from multiple sources or formats
  • Is an always-available secure and reliable infrastructure that is scalable to meet hybrid environments or growing needs
  • Integrates technologies that support operational efficiencies across various systems
  • Offers a developer environment
  • Supports batch, adhoc, query-based, streaming real-time, and in-memory analytics
  • Integrates on-premise data and client data centres with cloud service providers
  • Supports deployment in various cloud environments – public, private, enterprise private cloud – tailored to meet business or data security needs

Benefits of using BDaaS

Combines the power of BDPaaS, BDIaaS, BDASaaS

Big Data Platform-as-a-Service

  • Benefits of seamless cloud storage, analysis and visualization in a single platform
  • Access to integrated Data and Database for operational and analytical needs
  • manages data processing and analytics in an integrated environment
  • allows building of analytic applications on top of large data sets

Big Data Infrastructure-as-a-Service

  • storage, analysis and querying of high data volume possible at higher speed (supports the 4Vs of Data)
  • promotes best practices in data management with reuse of data service
  • scaled-out cloud computing and storage offers benefits of distributed computing
  • removes performance bottleneck and improves efficiency

Big Data Analytics Software-as-a-Service

  • allows speedier deployment, powerful computing and storage, with minimal management
  • cost reductions – a) businesses pay only for utlised services, b) costs of system performance holdups passed on to service provider


Bottoline: Whether you are currently using this technology or not, knowing the nitty gritties help you to plan the future data-driven operations of your organization. For every organization using voluminous data will ultimately adopt BDaaS one day. till well, something better comes up !

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