MongoDB Achieves Amazon Web Services Big Data Competency Certification
Enterprises and Startups Alike Embrace MongoDB Atlas Database as a Service on AWS to Increase Developer Productivity and Scalability
Las Vegas – AWS re:Invent – November 29, 2016 – Today, MongoDB, the database for giant ideas, announced it has achieved the Amazon Web Services (AWS) Big Data Competency in Advanced Analytics. This certification recognizes the innovations in MongoDB’s cloud services and aggregation framework, which enables companies to more easily extract real-time insights from both their operational and analytical workloads.
#MongoDB achieved the #AWS #BigData Competency Certification
The AWS Competency Program highlights AWS Partner Network members who have demonstrated proven customer success in supporting big data applications on AWS and passed a rigorous audit of their security and architecture. AWS Big Data Competency Partners also demonstrate success in helping customers evaluate and use the tools, techniques and technologies of working with big data productively, at any scale.
“As more and more companies look to move their enterprise applications to the cloud, they are adopting modern databases like MongoDB to store, process and analyze their structured and unstructured data at scale,” said Sahir Azam, VP of Cloud Products and GTM at MongoDB. “MongoDB Atlas on AWS lets our customers uncover insights in powerful new ways while focusing on innovation instead of database operation and management. We are honored to receive this certification and look forward to further strengthening our relationship with AWS to provide our enterprise customers fast and flexible access to MongoDB in the cloud.”
MongoDB Atlas is an elastic, on-demand cloud service that includes comprehensive infrastructure and turnkey management of its popular database.
Since launching in June 2016, both large enterprises and startups are embracing MongoDB Atlas to build and deploy a range of next generation and mission-critical applications, including the following:
eHarmony is building a new Communication Module that will replace an existing relational-based system. The Communication Module will provide long-term storage and retrieval for chat messages and questions exchanged between any users that have been matched.
"We wanted to build a new system to improve the user experience and the nature of the communication flow, providing a more real-time user experience. Running MongoDB Atlas on AWS provided us with the functionality and features we needed to build this system and is allowing us to meet our aggressive project timelines," said Ninish Ukkan, Senior Vice President of Technology, from eHarmony.”
Checkr, a company that helps organizations like Uber, Instacart, Postmates and others perform modern and compliant background checks, migrated to MongoDB Atlas for its powerful and intuitive cluster management capabilities and end-to-end encryption.
“It’s crucial for us to provide our customers with excellent and responsive services. Our clusters are growing fast, requiring an increasing amount of speed. We decided to migrate to MongoDB Atlas by live syncing and hot swapping to a secondary cluster, saving us hours of service interruption. MongoDB Atlas will allow us to easily and precisely scale to address growth,” said Sašo Matejina, DevOps Lead of Checkr.
Social News Desk, which provides social media management solutions for newsrooms, migrated to MongoDB Atlas to provide their applications with an easy-to-manage, scalable backend that was highly available from the start.
“We were spending hours triaging issues with our former MongoDB-as-a-service provider, which we brought on initially to save time and help us responsibly manage the database. When we learned of MongoDB Atlas -- developed by the same engineers behind the database we had come to trust and rely on -- it became the obvious choice. MongoDB Atlas makes it easy to spin up a complex, high-availability database cluster in just a few minutes, plus the performance monitoring and metrics are far better than anywhere else,” said Aaron King, vice president of Product Engineering at Social News Desk.
Thermo Fisher Scientific built Instrument Connect on MongoDB Atlas to connect the company’s world-leading mass spectrometers to the cloud. The app allows their customers to monitor instrument status from their mobile devices and upload data files for processing in the ThermoFisher cloud.
“We needed a database that could go beyond the current performance and productivity limits of relational databases. We chose MongoDB Atlas after running tests against several other popular databases in which MongoDB outperformed the alternatives in terms of performance, feature set, robustness, ease of use and cost,” said Joseph Fluckiger, senior software architect of Thermo Fisher Scientific.
By offering the best of traditional databases as well as the flexibility, scale and performance today’s applications require, we let innovators deploy apps as big as they can possibly dream. From startups to enterprises, for the modern and the mission-critical, MongoDB is the database for giant ideas. For more information, visit www.mongodb.com.