How To Choose the Right Big Data-As-A-Service (BDaaS) Provider?
A business that wants to survive needs to tackle this fundamental challenge at the very beginning of their journey:
What is the purpose of their business?
Why customers should purchase their products or services; what problem they can solve?
And how can millions of businesses identify the problem? How can they know the insights? What are the resources? And after successfully landing their businesses, how can they keep it rolling?
Simple answer: all they need is Data.
Data, the vital backbone of any business in the new Digital Era.
Back in the day when thousands of workers were recruited to do one manual job: entering and generating data. Now, users started to generate data themselves. A massive volume of information being generated every second, which is also known as Big data, has completely changed the way we work.
(Have a look at our ‘Big Data VS Data Science - What’s the difference?’ article to understand what Big Data is!)
As the world is trying immediately to digitalize, it is undoubtedly that the digital transformation process needs some cutting-edge technologies like Big Data to complete the digitalization. The market for Big Data and analytics technology is expanding in rapid growth as a result.
But building a data center, developing a toolset and investing time, and capital into training data scientists is a costly and time-consuming movement for any enterprise. Instead, you can go with the pay-as-you-go option.
A recent development: Big Data-as-a-Service (also known as BDaaS) is a toolset that allows customers of all sectors, and all sizes to have access to big data analytics depending on their purpose.
Big Data-as-a-service is expected to grow stupendously shortly since there is a significant increase in Big Data analytics adoption across the globe. However, IT services vendors spring up like mushrooms everywhere, offering different providers. This causes confusion, so:
‘How to recognize qualified BDaaS providers? ‘
In this blog post, we will help you to answer that question.
Costs
Starting with your budget is always a good idea since hiring a third-party IT vendor's main purpose is to save you up some penny. Check if they offer you a low to zero start-ups cost BDaaS. Many providers offer a free trial so you can see the results before you make any purchasing decision.
Ask yourself, is the solution scalable?
Big data projects tend to grow beyond the initial vision. You should foresee if you can easily and affordably purchase more storage and process resources as you need to.
Is the solution already used in your industry?
Check if your potential provider has experience in supporting similar business cases and customers.
Does the solution fit my organization’s needs?
A qualified provider should be able to analyze and offer the right BDaaS toolset according to their customers’ needs. The solution needs to suit the organization’s strategies which involve analysis of mega, complex datasets.
Real-time analysis and feedback
The reason why big data projects are so exciting is that it provides real-time insight instead of what was happening last week, or last month. Therefore, users can keep up with today's market and make critical business decisions.
Some prominent BDaaS services in the market
Here are some main BDaaS services available that we would like to introduce you to:
Salesforce has partnered with many tech giants like Google and Cloudera to bring Hadoop-based big data analytics to cloud data services. With its familiar UI (similar to its CRM software), Wave Analytics enables dynamic visualizations. This solution can be used on smartphones and watches which is very convenient for any user.
Amazon Web Services is Amazon’s cloud-based tools and services that provide on-demand cloud computing platforms and APIs to individuals. It is made up of various cloud computing products and services like servers, storage, remote computing, mobile development, security, and so on. It is used widely among 245 countries and territories.
Dataproc is a managed Spark and Hadoop service that lets you take advantage of open-source data tools for batch processing, querying, streaming, and machine learning. By possessing a number of unique advantages like 90 seconds or less of starting, scaling and shutting down clusters; built-in integration with other Google services like Cloud storage, Cloud monitoring, BigQuery, etc.
Big tech like Microsoft inevitably must be on this list. It has its own BDaaS Azure cloud framework by adding in different functionality with open source technologies like Spark and Storm.
Side-note
At ATP&P Technology, we are proud to be one of the leading Software Development Company & Big Data Analytics Services providers in Vietnam. Our team can assist in solving business problems and challenges that are tailored according to your business and industry needs.
With extensive industry knowledge and platform expertise, our Big Data team can solve your specific Data Needs challenges like storing customer information, data analysis, streamlining processes between departments.
Contact us to learn more about our services and solutions.
