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Slemma Added To The AWS Toolbox

04:33:45 - 30 September 2015

Slemma solidifies its place in the market for Amazon Web Service’s Business Intelligence Add-ons.

Sherman, Oaks (PRWEB)September 30, 2015 - Slemma, a next generation data visualization software, has been added to the AWS Marketplace as a certified business intelligence tool, ready to connect to your Amazon hosted solutions. The pathway to great analytics just got easier.

Because Slemma is a cloud application, databases and warehouses need be hosted online so they can be accessed. The many different options available in the AWS infrastructure allow businesses to host their Postgres and MySQL servers and then query them with Slemma’s direct connectors.

Slemma, however, is an analytics tool which means any solution that is built specifically to streamline querying is particularly exciting. Amazon Redshift does exactly that. By providing a warehousing solution that scales better, avoids setup time, and is less expensive, Redshift is a powerful offering to which we can connect.

In this way, Redshift and Slemma are perfect complements; both solutions are aimed at lowering the barriers to great data-driven decision making. Companies will be able to efficiently enhance their data analytics by using both tools in conjunction.

Slemma has introduced a connector directly to Redshift allowing businesses to visualize beautiful dashboards without the need to code or spend days learning an antiquated interface. Solution stacks, such as Slemma and Redshift, are the future of the analytics world, letting companies act on their data faster, more efficiently, with less wait time, and for less money.

About

Slemma, https://slemma.com, is a browser-based, data visualization tool that focuses on small to medium-sized businesses. The tool offers the ability to directly connect to various data solutions and to create information dashboards without the need of coding or running queries. This, combined with its dedication to an intuitive interface, means that companies can have competitive data analytics without buying servers, hiring data scientists, or spend weeks learning the program before reaping the returns.

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