IBM joined the cloud computing market when it bought SoftLayer in 2013. One of the services that it provides is cloud-based storage, just like Amazon S3 and Rackspace. You can use it to store gigabytes or even terabytes of data, but at some point, you will need to analyze that data.
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Amazon is not alone in the cloud: Rackspace, a cloud computing company that was established back in 1998 in Texas, is one of its major competitors. It also founded OpenStack, the open-source operating system for the cloud. So you may have gigabytes or even terabytes of data stored away on Rackspace, but what are you going to do with them?
How do you integrate data from Amazon RDS (Relational Database Service) with data from other sources such as S3, Redshift, or even MongoDB? The answer is Xplenty. Our data integration on the cloud lets you join data from various sources and then process it to gain new insights. What about storing the results back to RDS? No problemo, Xplenty does that as well.
Some developers need to process data. Maybe you work in a small startup where people take on several roles, or maybe in an enterprise company where you are asked to deal with Big Data. Either way, if you use Heroku, the most popular platform-as-a-service, there is a new add-on that can help you or the BI guy next door: Xplenty’s data integration on the cloud.
What can you do with data collected on Heroku PostgreSQL? How will you analyze it and integrate it? With Xplenty, of course! Xplenty lets you connect to a PostgreSQL database on Heroku, design a dataflow via an intuitive user interface, aggregate the data, and even save it back to PostgreSQL on Heroku or other databases and cloud storage services.