November 26, 2013

Big data as a service

Big data tools and analytics have transformed the way many companies measure and think about their business. However, big data has required tailored solutions and customizations that only highly skilled resources were able to develop and roll out so far. Most big data companies have built their business models around consulting and services to bring that expertise to their clients.

Today's big data solutions require data scientists to devise and run analyses while entire IT teams are needed to integrate data warehouses and legacy databases into Hadoop clusters or other big data architectures. The resulting complexity, maintenance costs and upfront investments effectively limit access to big data analytics to a small number of companies. At the same time a growing number of companies needs to manage and make sense of an exploding amount of data.

At MegaPivot we believe that only the emergence of big data as a service (BDaaS) solutions will finally unleash the potential of big data:

  • no software installations, only cloud-based high performance database engines to run queries on billions of rows
  • no data warehouse integrations or ETL jobs, only simple uploads of CSV files from Dropbox folders, Google Drives or similar cloud-based storage solutions
  • drag-and-drop pivot table interface running queries on gigabytes of data seamlessly

We believe that innovation is about abstracting complexities away and providing simple and intuitive access to powerful tools to larger audiences. We built MegaPivot to provide a big data platform to business analysts without the investments, risks and costs of current alternative solutions.

Enhanced analytics capabilities over all your data will finally trigger insights and discover new opportunities for your business.

MegaPivot is a web-based big data analytics application built on Google BigQuery infrastructure.

Build pivot tables on billions of rows in seconds.
Easily import CSV files of any size directly from your Dropbox folder.
Share your reports with your colleagues.

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