Skip to main content

Tech Stocks

AWS DocumentDB and MongoDB Atlas: Friend or Foe?

Written by

Beth Kindig

Founder, CEO and Lead Technology Analyst

Published: July 25, 2019

Last Updated: July 25, 2019

MongoDB outperformed the tech sector a few times over the past 12 months, most notably during Q4, when MongoDB managed to trade between $65 and $80. The stock recouped losses by early December, when MongoDB reached new highs at $90 per share. By March, MongoDB had gained more than 50% off its new highs to $152 in March.

MongoDB’s Atlas has proven to defy gravity even in the face of AWS launching a competing product called Amazon DocumentDB in January. This sent shares of MongoDB down 15 percent, with a few larger investors exiting based on the news, but the company quickly shrugged it off.

The first quarter results reported a 78% year-over-year increase in total revenue with a 82% increase in subscription revenue. Notably, the company reported first-quarter net losses of $33.2 million, or 61 cents a share, compared with losses of $26.6 million, or 53 cents per share, in the year-ago period. Adjusted losses were 22 cents a share.

AWS Pitches MongoDB Atlas at OSCON

Amazon’s DocumentDB advertises MongoDB compatibility in its headline throughout the AWS website while MongoDB’s Atlas website focuses on the differences between the two products. AWS wants to be seen as a friend, but MongoDB thinks they are more of a foe.

Amazon’s NoSQL JSON document database is not based on the MongoDB server, however, and there are key differences which AWS’s product is unlikely to compensate for. 

Here are a few:

AWS walks a razor edge between capturing the NoSQL database revenue segment or disrupting the customer base, who now have many options in cloud, including Microsoft and Google Cloud – both motivated to compete with AWS from any angle. Trying to disrupt MongoDB’s Atlas could have the opposite effect on AWS as developers are notoriously tribal. 

Not surprisingly, last quarter, MongoDB announced a new business partnership with Google Cloud Platform with MongoDB’s Atlas integrated into the GCP console. MongoDB also announced new product features, including Atlas Data Lake, Atlas Full-Text Search and increased availability of MongoDB Charts. These upgrades will be hard for larger, more diversified tech companies (like AWS) to keep up with.

Needless to say, I was on the edge of my seat at OSCON when Amazon presented a keynote and pitched MongoDB Atlas to the crowd. At OSCON, Amazon stated that “AWS effectively endorses MongoDB Atlas as the segment winner” and that MongoDB Atlas is an “AWS reinvent 2019 top level sponsor.” Amazon also stated that Atlas growth has continued on the platform after the AWS DocumentDB release.

Beth Kindig, founder and lead tech analyst of I/O Fund

Get Our Free Weekly Stock Newsletter

Get weekly stock insights, market analysis, and technology updates straight to your inbox.

  • Weekly stock insights
  • Market analysis
  • Technology updates

Takeaway:

The financial markets guessed wrong about AWS’s ability to compete with MongoDB. We see very little evidence that AWS’s DocumentDB has been a success with Amazon changing its tone at a recent software developer conference. One area that I have written extensively about is developer mindshare, as software developers are not easy to convince. You can access my analysis on Nvidia and developer mindshare here – the time to learn a new AI and ML platform is one reason I remained long on Nvidia during the crypto sell-off.

“Imitation is the sincerest form of flattery, so it’s not surprising that Amazon would try to capitalize on the popularity and momentum of MongoDB. However, developers are savvy enough to distinguish between the real thing and a poor imitation,” Dev Ittycheria, MongoDB’s CEO

In addition, IDC updated its forecast and expects the worldwide database software market to grow from $64 billion in 2019 to $98 billion in 2023. MongoDB’s Atlas is positioned to capitalize on this growth, especially as a flexible option for running applications on-premise, in a private cloud, or a private cloud, without being locked into any one cloud vendor.

After gaining 200% in the past two quarters, is MongoDB still a buy? Premium research members receive updated recommendations and entry/exit scenarios on tech stocks. Learn more here.Learn more here.

Recommended Reading:

About the author

Beth Kindig

Beth Kindig

Profile

Beth Kindig is the Founder, CEO and Lead Technology Analyst at I/O Fund, with more than 15 years of experience covering private and public technology companies. Known for her early Nvidia research beginning in 2018 and bold, high-conviction calls on emerging technology trends, Beth also manages I/O Fund's audited technology portfolio, which has returned 326% since May 2020, or 29.2% annualized. She is a regular guest on Fox Business and Bloomberg and has appeared on Real Vision, CNBC, Yahoo Finance, BBC, MarketWatch, Forbes, and more.

Curation

Expand your knowledge

View all posts
3 AI Trends Driving the 2026 Cybersecurity Stocks Rally
CYBERSECURITY STOCKS

3 AI Trends Driving the 2026 Cybersecurity Stocks Rally

Cybersecurity stocks surged in 2026 as AI-enabled attacks rose 89%. We look at how AI threats, AI labs and platform consolidation are driving demand.

CYBERSECURITY STOCKSOCT 31, 2026
Beyond Hyperscalers: Here’s the Next $1 Trillion AI Infrastructure Opportunity
AI STOCKS

Beyond Hyperscalers: Here’s the Next $1 Trillion AI Infrastructure Opportunity

Since 2022, Big Tech capex has been the clearest barometer of AI demand. But the market’s reaction to Google’s latest earnings shows investors are questioning how long that spending can last. While the market frets over hyperscalers’ cash flows, a second wave of AI infrastructure spending has quietly emerged, driven by enterprises and neocloud customers.

AI STOCKSOCT 30, 2026
Google’s $250 Billion AI Chip Opportunity Takes Aim at Nvidia
AI PLATFORMS

Google’s $250 Billion AI Chip Opportunity Takes Aim at Nvidia

In April, there was a major shift in the AI accelerator market, and for once, it didn’t come from Nvidia. Six months later, merchant TPUs are moving from announcement to commercial execution, with Google recognizing its first revenue from TPU systems in Q2 (from a small base). Last quarter, Cloud revenue growth accelerated to 82% for $24.8 billion, compared to $22.5 billion expected. In addition, new details around the TPU 8t show that Google’s threat to Nvidia is not limited to inference. At the time, we pointed out that Google may be one of Nvidia’s strongest AI challengers, as Big Tech is closest to the problems that accelerators must solve. The problem that Google is prioritizing is lower cost per token, with token economics becoming a predominant concern as AI spending is pushing Big Tech’s free cash flows into the red. Below, we discuss two reasons why Google’s AI story is about to change, not from advancements in AI software, but by going after one of the most profitable hardware businesses the tech industry has ever seen.

AI PLATFORMSOCT 23, 2026