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ScaleGrid Announces Shared MongoDB Hosting on Amazon AWS
Thursday, December 07, 2017

PALO ALTO, Calif., Dec. 7, 2017 /PRNewswire/ -- ScaleGrid, a rising leader in database hosting and management, has just announced shared hosting for their MongoDB management plans on Amazon Web Services (AWS). Their new Shared Cluster plan is immediately available, in addition to their Dedicated Cluster and Bring Your Own Cloud database management plans.

ScaleGrid's Shared Cluster plan covers an unlimited number of databases and comes with their full suite of premium database management tools, including slow query analysis, alerts, web command line and automated monitoring. Shared Clusters supports MongoDB version 3.4.9 with a 3-node replica set, Snappy Compression and WiredTiger storage engine on cloud provider AWS. Their all-inclusive pricing includes all network, disk, machine and management costs for $10 per GB.

Dharshan Rangegowda, ScaleGrid CEO and Founder shares "we're very excited to bring our full suite of database management features to our Shared Cluster plan and drive the market forward at a reduced cost." He continues to explain "one of the greatest benefits of our shared hosting is the ability to enable compression, allowing our customers to significantly save on their hosting costs while retaining high speeds and little to no load on their system."

These MongoDB Shared Cluster plans are highly-available and hosted in Docker containers. ScaleGrid's database hosting and management solution also provides dynamic scaling, free backups, and allows its users to retain full admin access to their MongoDB clusters.

ScaleGrid plans to make the shared model available in additional AWS regions in the near future, along with availability on other Cloud providers like Azure and DigitalOcean.

About ScaleGrid

ScaleGrid provides a fully managed Database-as-a-Service (DBaaS) solution used by thousands of developers, startups, and enterprise customers including UPS, Dell, and Adobe. The ScaleGrid platform supports MongoDB and Redis on both public and private clouds, including Amazon AWS, Microsoft Azure, and DigitalOcean, and handles all your database operations at any scale so you can focus on your product instead of operations.

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