Introducing Pay as You Go MongoDB Atlas on AWS Marketplace

Eric Holzhauer
December 15, 2021
#Atlas

We’re excited to introduce a new way of paying for MongoDB Atlas. AWS customers can now pay Atlas charges via our new AWS Marketplace listing. Through this listing, individual developers can enjoy a simplified payment experience via their AWS accounts, while enterprises now have another way to procure MongoDB in addition to privately negotiated offers, already supported via AWS Marketplace.

Previously, customers who wanted to pay via AWS Marketplace had to commit to a certain level of usage upfront. Pay as you go is available directly in Atlas via credit card, PayPal, and invoice — but not in AWS Marketplace, until today.

With this new listing and integration, you can pay via AWS with no upfront commitments. Simply subscribe via AWS Marketplace and start using Atlas. You can get started for free with Atlas’s free-forever tier, then scale as needed. You’ll be charged in AWS only for the resources you use in Atlas, with no payment minimum. Deploy, scale, and tear down resources in Atlas as needed; you’ll pay just for the hours that you’re using them.

Atlas comes with a Basic Support Plan via in-app chat. If you want to upgrade to another Atlas support plan, you can do so in Atlas. Usage and support costs will be billed together to your AWS account daily. If you’re connecting Atlas to applications running in AWS, or integrating with other AWS services, you’ll be able to see all your costs in one place in your AWS account.

To get started with Atlas via AWS Marketplace, visit our Marketplace listing and subscribe using your account. You’ll then be prompted to either sign in to your existing Atlas account or sign up for a new Atlas account.

← Previous

10 Signs Your Data Architecture is Limiting Your Innovation: Part 2

With the massive amounts of data organizations now ingest, store, and analyze comes a massive responsibility to monitor, manage, and protect it. Unfortunately, many businesses are functioning with little insight into how their data is stored and who is accessing it — and their overly complex data architecture can turn those challenges into Frail security can lead to unnecessary risk, and if you are not in control of your data architecture, the next big compliance offender or data breach victim could be you. These risks — and the time and resources required to address them — make up part of a hidden tax on your innovation. We call it DIRT — the Data & Innovation Recurring Tax . Our experts have identified 10 symptoms that can indicate your business is paying DIRT — read about them all in our white paper 10 Signs Your Data Infrastructure is Holding You Back , and check out Part 1 of this blog series. Here, we highlight two signs of this innovation tax that are all about security. Symptom #3: That last big data breach — or the next one — is on you The more complex your data architecture, the more threat vectors you need to cover and the more complicated and time-consuming it becomes to maintain security. Each data store and application may have its own security framework and requirements — its own access controls, role definition, and login procedures. Each database may in turn be connected with multiple other technologies and vendors, further adding to the time and complexity needed to keep everything secure. That’s a drag on your team: Some 30% of IT managers spend more than 16 hours a month just on patching, and 14% spend more than 48 hours a month. Often, it’s impossible to keep up: 42% of breaches are the result of an attack for which a patch was available but not applied, according to a Ponemon Institute study of IT professionals. On average, 28% of vulnerabilities remain unaddressed. Our Solution: With an application data platform, you have one set of database and data service components that share the same developer experience and the same underlying operational and security characteristics, making it a lot easier to defend. Organizations can use a single overarching security policy and implementation without having to reinvent the wheel every time someone has a new use case for the data. Maintaining audit logs and access is dramatically streamlined. You get both security and speed. Symptom #4: Rampant data duplication makes compliance a nightmare In a modern organization, every part of the business should have access to the data and insights that help optimize performance and meet customer demand. But most data is trapped in silos, each with its own formats, access, and authorization controls. Attempts to address data silo issues often create their own web of separate niche data technologies, each trying to solve the problem. That can create a lot of data duplication — so even your IT leaders may not know who has copies of which data, or even how many copies there may be. That’s obviously a problem for security reasons. It also makes it extremely difficult to comply with regulations such as GDPR and the California Consumer Privacy Act, or to respond effectively to audits. How can you tell your regulators exactly where personally identifying information sits, or where it has been, when you don’t even know how many copies exist? Our Solution: Eliminate silos in the first place by using an application data platform, which addresses many of the use cases that would otherwise spur teams to duplicate data. And, with MongoDB, you can federate queries across multiple sources so you don’t have to move data into different formats. Our next installment will focus on your developers’ time, how it’s spent and the price you pay when they can’t find the time to develop and roll out best-in-class features. For a complete view of DIRT, read our white paper DIRT and the High Cost of Complexity .

December 15, 2021
Next →

Data and the European Landscape: 3 Trends for 2022

The past two years have brought massive changes for IT leaders: large and complex cloud migrations; unprecedented numbers of people suddenly working, shopping and learning from home; and a burst in demand for digital-first experiences. Like everyone else, we are hoping that 2022 isn’t so disruptive (fingers crossed!), our customer conversations in Europe do lead us to believe the new year will bring new business priorities. We’re already noticing changes in conversations around vendor lock-in, thanks to the Digital Markets Act, a new enthusiasm for combining operational and analytical data to drive new insights faster, and a more strategic embrace of sustainability. Here’s how we see these trends playing out in 2022. Digital markets act draws new attention to cloud vendor lock-in in Europe We’ve heard plenty about the European Commission’s Digital Markets Act , which, in the name of ensuring fair and open digital markets, would place new restrictions on companies that are deemed to be digital “gatekeepers” in the region. That discussion will be nothing compared to the vigorous debate we expect once the EU begins the very tricky political business of determining exactly which companies will fall under the act. If the EU sets the bar for revenues, users, and market size high enough, it’s possible that the regulation will end up affecting only Facebook, Amazon, Google, Apple, and Microsoft. But a European group representing 2,500 CIOs and almost 700 organizations is now pushing to have the regulation encompass more software companies. Their main concern centers around “distorted competition” in cloud infrastructure services and a worry that companies are being locked into one cloud vendor. A trend that will likely increase in 2022 that pushes back on cloud vendor lock-in is embracing multi-cloud strategies. We should expect to see more organisations in the region pursuing multi-cloud environments as a means to improve business continuity and agility whilst being able to access best of breed services from each cloud provider. As we have always said …”it’s fine to date your cloud provider….but don’t ever marry them.” The convergence of operational and analytical data The processing of operational and analytical data is almost always contained in different data systems, each tuned to that use case and managed by separate teams. But because that data lives in separate places, it’s almost impossible for organisations to generate insights and automate actions in real time, against live data. We believe 2022 is the year we’ll see a critical mass of companies in the region make significant progress toward a convergence of their operational and analytical data. We’re already starting to see some of the principles of microservices in operational applications, such as domain ownership, be applied to analytics as well. We’re hearing about this from so many of our customers locally, who are looking at MongoDB as an application data platform that allows them to perform queries across both real-time and historical data, using a unified platform and a single query API. This results in the applications they are building becoming more intelligent and contextual to their users, while avoiding dependencies on centralized analytics teams that otherwise slow down how quickly new, data-driven experiences can be released. Sustainability drives local strategic IT choice Technology always has some environmental cost. Sometimes that’s obvious — such as the energy needs and emissions associated with Bitcoin mining. More often, though, the environmental costs are well hidden. The European Green Deal commits the European Union to reducing emissions by 55% by 2030, with a focus on sustainable industry. With the U.N. Climate Change Conference (COP26) recently completed in Glasgow, and coming off the hottest European summer on record, climate issues have become top of mind. That means our customers are increasingly looking to make their technical operations more sustainable — including in their choice of cloud provider and data centers. According to research from IDC , more than 20% of CxOs say that sustainability is now important in selecting a strategic cloud service provider, and some 29% of CxOs are including sustainability into their RFPs for cloud services. Most interesting, 26% say they are willing to switch to providers with better sustainability credentials. Historically, it’s been difficult to make a switch like that. That’s part of the reason we built MongoDB Atlas — to give our customers the flexibility to run in any region , with any of the three largest cloud providers, and to make it easy to switch between them, and even to run a single database cluster across them. Publicly available information about the footprint of individual regions and even single data centers will make it simpler for companies to make informed decisions. Already, at least one cloud platform has added indicators to regions with the lowest carbon footprint. Source: IDC, European Customers Engage Services Providers at All Stages of Their Cloud Journey, IDC Survey Spotlight, Doc #EUR248484021, Dec 2021

December 21, 2021