Data as a Service

Handle your data quickly and low-cost effectively without losing the data quality

 
 

Data as a Service

Handle your data quickly and low-cost effectively without losing the data quality

 
 

Data Technologies

A new generation of Data Technologies

Data anywhere and everywhere

In the growing Digital world those having data in hand are the most powerful, one can use the data for prediction, strategy making and many more to be at the top. DigitalGlyde enables the clients to access data on demand regardless of their geographic location. We understand the cloud and how it works efficiently.

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Digitalglyde and Data-as-a-Service

DigitalGlyde’sDaaS have the same benefits that come with any major Cloud-computing platform for handling large Dataset either in form of Big Data, Cloud Data, Google cloud datastore, aws database, olap & oltp.

Agility

Service Oriented Architecture or SOA, is what DigitalGlyde is providing which ensures the flexibility to access any business-critical data in a DaaS-powered Cloud service. Access Data quickly, cost-effectively, anywhere without loosing the quality.

High Quality Data

Improved Data Quality is what we at DigitalGlyde helps our client’s to achieve. This is largely due to the fact that the bulk of data access is primarily controlled through the data service itself. This adds a robust layer of security and improved data quality.

Cost Effectiveness

The cost effective data strategy is using Cloud-based offering, DigitalGlyde’s DaaS space can easily help the client’s to deploy their data delivering applications in a way that off sets many of the costs associated with managing and housing these complex data sets in-house.

FAQ

What is Data as a Service?

Data accessibility requires the right infrastructure, proper handling, scientific and statistical expertise, and creative strategy. This combination takes a great deal of knowledge, time, talent, and infrastructure. To make this data available organization-wide, regardless of geographic location and without draining capital budgets, many companies deploy a cloud-based strategy known as Data as a Service (DaaS).

How Data as a Service Providers Simplify the Complex?

Analytical analysis doesn’t just sound complex, it is complex, which is probably why so many people choose to keep their heads in the sand about how to wrangle all the data that’s available. The more data at your disposal, the more important advanced analytical analysis becomes. And yet, interpreting data is just one challenge. Before businesses can even get to that obstacle, there are other hurdles they have to conquer first.