MongoDB named a leader in The Forrester Wave™: Big Data NoSQL, Q3 2016

Eliot Horowitz


Today, Forrester released The Forrester Wave™: Big Data NoSQL, Q3 2016, recognizing MongoDB as a Leader based on our performance in the current offering, strategy, and market presence categories. The report said that "MongoDB remains the most popular NoSQL database."

It’s always gratifying to see our efforts acknowledged, but beyond our current position as the most popular non-relational database, it is my view that this Forrester Wave report endorses our long-term strategy as clear and on-target. A little over a year ago, I concluded MongoDB World 2015 with a claim that we had entered a new era in which it was reasonable for MongoDB to be an organization's default database; I believe that this recognition shows that we’re getting there.

The world is ready for a document database to be its default. 61% of the enterprises surveyed by Forrester are using, planning to use, expanding or upgrading to NoSQL over the next 12 months, and we are confident that MongoDB will continue to be the most popular choice. These enterprises have strategic needs that can only be met by a non-relational database, but they must be prudent about where they invest their fiscal and intellectual capital. They don’t want to stitch together a host of new and disparate technologies, each with its own API and narrow band of appropriate use cases, and take on work to re-implement solutions that were working fine in their relational ecosystem.

We developed MongoDB with this in mind, which is why it excels at so many workloads. Our document model is a superset of other data models, including key-value, graph, object, and relational, and we natively support complex manipulations on these data with operators like $lookup and our new graph operators in 3.4. Our replication and sharding architecture, pluggable storage engine framework, and configurable read and write behavior mean that an entire spectrum of data semantics can be achieved through configuration, rather than by mixing and matching from a grab-bag of technologies. And because an unconstrained dynamic schema can sometimes be too flexible, features like document validation and tools like MongoDB Compass provide the integrity checking, schema visualization, query development and performance optimization that DBAs often miss in non-relational solutions.

We are also mindful of the investment that enterprises have made in the business intelligence ecosystem that surrounds their databases. Our BI Connector allows enterprises to leverage tools like Tableau to derive insights from their data. Protecting investments in existing tools, though, doesn’t mean relying on them exclusively. We're also innovating in the next generation of analytics, machine learning, and streaming with our new MongoDB Connector for Apache Spark.

Enterprises also require industrial-grade management solutions for their databases, and MongoDB has met this need with Ops Manager for on-premises management and Cloud Manager for hybrid deployments. Both of these offer monitoring, backup, and management of MongoDB clusters, making it easy to spin up a single instance to experiment with or run a massive cluster with shards spread across the globe.

But these days even enterprises are starting to run their infrastructure entirely in the cloud, and we think this operational model suits a large number of teams. That is why we created our database as a service, MongoDB Atlas: the simplest, most robust, and most cost effective way to run MongoDB in the Cloud. Using Atlas, enterprises can spin up a fully managed, monitored, and backed up cluster in under five minutes. Atlas is available today on AWS, with support for Azure and GCP coming soon. Now, regardless of what type of infrastructure an enterprise wants to run, they have the flexibility to deploy and manage MongoDB with ease.

After all, your data should serve you, not the other way around. We continually build and evolve MongoDB to deliver that vision, which is why MongoDB is already in use by more than half of all Fortune 100 companies.

So thanks to all of our customers, users, and community contributors, for investing in us, for supporting us, for demanding more and more of MongoDB, for pushing it further, into every crazy new use case. We’re right behind you.

About the Author, Eliot Horowitz

Eliot is CTO and Co-Founder of MongoDB. He is one of the core MongoDB kernel committers. Previously, he was Co-Founder and CTO of ShopWiki. Eliot developed the crawling and data extraction algorithm that is the core of its innovative technology. He has quickly become one of Silicon Alley's up and coming entrepreneurs and was selected as one of BusinessWeek's Top 25 Entrepreneurs Under Age 25 nationwide in 2006. Earlier, Eliot was a software developer in the R&D group at DoubleClick (acquired by Google for $3.1 billion). Eliot received a BS in Computer Science from Brown University.