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ScaleGrid: Automating Database Management in the Cloud

ScaleGrid: Automating Database Management in the Cloud

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Dharshan Rangegowda,Founder
Dharshan Rangegowda, Founder

The Database-as-a-Service(DBaaS) landscape is continuously evolving with new and exciting databases entering the market and new cloud vendors emerging. Existing cloud vendors are also releasing new hardware and software platforms. The challenge for service vendors now is to continuously evolve their platforms to leverage all these changes to best serve the customers. ScaleGrid provides a fully managed DBaaS solution used by thousands of developers, startups, and enterprise customers including UPS, Dell, and Adobe. The ScaleGrid platform supports MongoDB, Redis, MySQL, and PostgreSQL on both public and private clouds, including Amazon AWS, Microsoft Azure, DigitalOcean,and VMware, and handles all the database operations at any scale. “This significantly decreases the time burden of managing databases across different platforms and decreases the risk of issues from incompatibility and database sprawl,” speaks Dharshan Rangegowda, CEO.

ScaleGrid is targeted for SMB and enterprise customers who are deploying databases on public or private clouds. “ScaleGrid is a polyglot, multi-cloud solution that
allows our customers to deploy the database of their choice on the cloud of their choice. We can also seamlessly migrate databases from one cloud to another,enabling them to prevent and protect their infrastructures from vendor or cloud lock-in,” mentions Dharshan.

"In 2018 alone,ScaleGrid has experienced over a 65 percent growth rate in new customers"

ScaleGrid is the only DBaaS solution that allows customers to keep full super user administrative control over their databases. This enables their customers to use their existing scripts and tools and also work with other database consultants they have been working with historically.

The Ideation of ScaleGrid
The inception of ScaleGrid dates back to 2012. Dharshan was the former Principal Development Lead at Microsoft who worked on Microsoft's virtual machine manager and later moved to Azure to work on the next generation of data-centre software networks. Dharshan, passionate for cloud computing, was quick to perceive the future of the enterprise in the cloud. Given the extreme complexity involved in deploying and managing production database clusters, he wanted to extend the simplicity of the cloud model to help solve this problem. ScaleGrid began its journey with a mission to simplify database management on both public and private clouds.“Our first step in achieving this mission was to launch a public Database-as-a-Service (DBaaS) solution and then eventually extend it to different cloud providers and also private clouds,” he says.
ScaleGrid has come a long way since then graduating from the AngelPad accelerator in 2012.“Our segment is very engineering-intensive, and building up a good engineering organization takes a while. We are now a distributed engineering organization across Palo Alto,CA and Bangalore, India, ”informs Dharshan.

Committed to data protection, ScaleGrid has incorporated security best practices for its infrastructure to ensure the safety of the customer’s data. The company enables its customers to deploy their database servers in their own Virtual Private Clouds on AWS(VPC)and Azure (VNET) through Bring Your Own Cloud (BYOC) plans.

The Way Forward
In 2018 alone, ScaleGrid has experienced over a 65 percent growth rate in new customers, after consistently averaging a 58 percent year-over-year growth rate since 2014. ScaleGrid has been deployed across 70+ countries, and it supports 52 different datacentres across the globe.

In the coming times, team ScaleGrid wants to enable businesses of all sizes and types to be able to manage any database they want on any cloud, including private clouds. “We recently launched an Enterprise DBaaS solution for private infrastructure environments and are excited to expand this market to help companies using both on-premise and private cloud servers to optimize their time-consuming database management tasks and reduce their total cost of ownership(TCO),”concludes Dharshan.