General availability of MongoDB Atlas Stream
Processing makes it easier for developers to use real-time
streaming data to build event-driven application experiences in a
unified environment
MongoDB Atlas Search Nodes newly available on
Microsoft Azure allow organizations to isolate and scale generative
AI workloads with up to 60% faster query times and lower
cost
MongoDB Atlas Edge Server enables customers to
seamlessly run distributed applications closer to end-users from
the cloud to the edge and in between
Acoustic, Bosch Digital, Eni, Forbes, and
Meltwater among the tens of thousands of customers building modern
applications with MongoDB Atlas
NEW
YORK, May 2, 2024 /PRNewswire/ -- MongoDB, Inc.
(NASDAQ: MDB) today at its developer conference MongoDB.local NYC
announced new capabilities for MongoDB Atlas that make it faster
and easier to build, deploy, and run modern applications with the
performance and scale organizations require. MongoDB Atlas is the
most widely distributed developer data platform in the world, and
tens of thousands of customers and millions of developers rely on
its industry-leading operational database and integrated data
services to power business-critical applications across cloud
providers. The general availability of MongoDB Atlas Stream
Processing makes it easier to use real-time data from a wide
variety of sources to run highly responsive applications. MongoDB
Atlas Search Nodes on Microsoft Azure give organizations more
flexibility for optimizing the performance and cost of generative
AI workloads that drive intelligent applications at scale. MongoDB
Atlas Edge Server reduces the complexity of managing data for
distributed applications that span locations from the cloud to on
premises to devices at the edge.
"Customers tell us they love MongoDB Atlas because it provides
an integrated set of capabilities on one platform that can store
and process their organization's operational data across all of
their applications," said Sahir
Azam, Chief Product Officer at MongoDB. "Customers also tell
us that MongoDB's highly flexible and scalable document data model
is a perfect fit for powering modern applications that can take
advantage of generative AI and their real-time proprietary data.
The additional services we're launching today for MongoDB Atlas not
only make it easier to build, deploy, and run modern applications,
but also make it easier to optimize performance while reducing
costs."
The new MongoDB Atlas capabilities announced today enable
organizations of all sizes across industries to build, deploy, and
run next-generation applications with the security, resiliency, and
durability today's business environment demands:
- Simplify building highly responsive applications with
streaming data: Now generally available, MongoDB Atlas
Stream Processing enables developers to take advantage of data in
motion and data at rest to power event-driven applications that can
respond to changing conditions. Streaming data—coming from sources
like IoT devices, customer browsing behaviors, and inventory
feeds—is critical to modern applications because it allows
organizations to create dynamic experiences as end-user behaviors
or conditions change. However, streaming data is highly dynamic,
and inflexible data models are not ideal for building event-driven
applications that need to continuously adjust to the real world.
Because it is built on a flexible and scalable data model, MongoDB
Atlas Stream Processing allows organizations to build applications
that analyze data in motion and at rest and make adjustments to
business logic in seconds. For example, organizations can build
applications that dynamically optimize shipping routes based on
weather conditions and supply chain data feeds, or can continuously
analyze financial transaction data feeds and purchase histories for
AI-powered fraud detection in near-real time. By using
MongoDB Atlas Stream Processing, organizations can do more with
their data in less time and with less operational overhead.
- Optimize the performance and efficiency of generative AI
applications: MongoDB Atlas Search Nodes—generally
available on AWS and Google Cloud, and now in preview on Microsoft
Azure—provide dedicated infrastructure for generative AI and
relevance-based search workloads that use MongoDB Atlas Vector
Search and MongoDB Atlas Search. MongoDB Atlas Search Nodes are
independent of core operational database nodes and allow customers
to isolate workloads, optimize costs, and reduce query times by up
to 60 percent. In addition to helping optimize performance and
cost, MongoDB Atlas Search Nodes enable organizations to run highly
available generative AI and relevance-based search workloads at
scale for the most demanding applications. For example, an airline
company can use MongoDB Atlas Search Nodes to optimize the
performance and scale an AI-powered booking agent experiencing a
surge in usage by seamlessly isolating the vector search workload
and scaling the required infrastructure—without resizing the
required compute or memory resources for their operational database
workload.
- Deploy applications that seamlessly connect from the cloud
to the edge: Now available in public preview, MongoDB
Atlas Edge Server gives developers the capability to deploy and
operate distributed applications in the cloud and at the edge.
MongoDB Atlas Edge Server provides a local instance of MongoDB with
a synchronization server that runs on local or remote
infrastructure and significantly reduces the complexity and risk
involved in managing applications in edge environments. With
MongoDB Atlas Edge Server, applications can access operational data
even with intermittent connections to the cloud. For example, a
hospital system can use MongoDB Atlas Edge Server to help enable
applications running on patient healthcare devices to remain
functional during power outages and connectivity disruptions. With
Atlas Edge Server, their data will automatically synchronize once
connectivity is restored. MongoDB Atlas Edge Server also supports
data tiering to prioritize the synchronization of critical data to
the cloud, reducing network congestion. And, MongoDB Atlas Edge
Server maintains a local data layer to reduce latency and enable
faster actions based on real-time data. With MongoDB Atlas Edge
Server, organizations can seamlessly run highly available, modern
applications closer to end-users with less complexity.
MongoDB customers welcome new capabilities to help them build
modern applications with less complexity
Acoustic is a customer-obsessed marketing technology company
committed to creating powerful tools that are easy to use. "At
Acoustic, our key focus is to empower brands with behavioral
insights that enable them to create engaging, personalized customer
experiences," said John Riewerts,
EVP of Engineering at Acoustic. "With Atlas Stream Processing, our
engineers can leverage the skills they already have from working
with data in Atlas to process new data continuously, ensuring our
customers have access to real-time customer insights."
Bosch Digital supports and consults the entire Bosch Group with
all its business units in implementing digital business and
scalable solutions. "We don't do anything theoretical at Bosch
Digital, and with MongoDB we can keep building on past experience,"
said Steffen Gürtler, Senior Expert of IoT Data Management at Bosch
Digital. "We don't have to start from scratch, which means we can
innovate much faster with less effort."
Based in Italy, Eni is a
leading integrated energy company with more than 30,000 employees
across 69 countries. "MongoDB Atlas is simple to integrate and
makes it easy to ingest and deduplicate data from other systems,"
said Sabato Severino, Senior AI
Solution Architect for Geoscience at Eni. "The advanced security
features such as authentication, authorization, and encryption of
data in transit and at rest are vital to protect data and reduce
the risk of loss. Since moving to MongoDB Atlas, we've
significantly reduced development time thanks to the platform's
streamlined management features and user-friendly dashboard. That
has translated into significant cost savings for our
organization."
Forbes champions success by celebrating those who have made it,
and those who aspire to make it. "Key deliverables we achieved with
MongoDB Atlas were speed of provisioning, maintenance, and
disaster-recovery times," said Sameer
Patwardhan, SVP of Technology at Forbes. "The flexible data
structures allow faster iterative development and greater
innovation than you would get with any other solution."
Meltwater empowers companies with a suite of solutions that
spans media, social, consumer and sales intelligence. By analyzing
~1 billion pieces of content each day and transforming them into
vital insights, Meltwater unlocks the competitive edge to drive
results. "MongoDB Atlas Stream Processing enables us to process,
validate, and transform data before sending it to our messaging
architecture in AWS powering event-driven updates throughout our
platform," said Cody Perry, Software
Engineer at Meltwater. "The reliability and performance of Atlas
Stream Processing has increased our productivity, improved
developer experience, and reduced infrastructure cost."
These announcements and more will be featured in the
MongoDB.local NYC keynote delivered by MongoDB President and CEO
Dev Ittycheria and Chief Product Officer Sahir Azam, which can be viewed today via
live-stream here beginning at 10:00am
ET.
About MongoDB Atlas
MongoDB Atlas is the leading
multi-cloud developer data platform that accelerates and simplifies
building modern applications with a highly flexible, performant,
and globally distributed operational database at its core. By
providing an integrated set of data and application services in a
unified environment, MongoDB Atlas enables development teams to
quickly build with the security, performance, and scale modern
applications require. Millions of developers and tens of thousands
of customers across industries—including Cisco, GE Healthcare,
Intuit, Toyota Financial Services, and Verizon—rely on MongoDB
Atlas every day to innovate more quickly, efficiently, and
cost-effectively for virtually every use case across the
enterprise. To get started with MongoDB Atlas, visit
mongodb.com/atlas.
About MongoDB
Headquartered in New York, MongoDB's mission is to empower
innovators to create, transform, and disrupt industries by
unleashing the power of software and data. Built by developers, for
developers, MongoDB's developer data platform is a database with an
integrated set of related services that allow development teams to
address the growing requirements for today's wide variety of modern
applications, all in a unified and consistent user experience.
MongoDB has tens of thousands of customers in over 100 countries.
The MongoDB database platform has been downloaded hundreds of
millions of times since 2007, and there have been millions of
builders trained through MongoDB University courses. To learn more,
visit mongodb.com.
Forward-looking Statements
This press release includes
certain "forward-looking statements" within the meaning of Section
27A of the Securities Act of 1933, as amended, or the Securities
Act, and Section 21E of the Securities Exchange Act of 1934, as
amended, including statements concerning expansion of global
availability of MongoDB Atlas. These forward-looking statements
include, but are not limited to, plans, objectives, expectations
and intentions and other statements contained in this press release
that are not historical facts and statements identified by words
such as "anticipate," "believe," "continue," "could," "estimate,"
"expect," "intend," "may," "plan," "project," "will," "would" or
the negative or plural of these words or similar expressions or
variations. These forward-looking statements reflect our current
views about our plans, intentions, expectations, strategies and
prospects, which are based on the information currently available
to us and on assumptions we have made. Although we believe that our
plans, intentions, expectations, strategies and prospects as
reflected in or suggested by those forward-looking statements are
reasonable, we can give no assurance that the plans, intentions,
expectations or strategies will be attained or achieved.
Furthermore, actual results may differ materially from those
described in the forward-looking statements and are subject to a
variety of assumptions, uncertainties, risks and factors that are
beyond our control including, without limitation: the impact the
COVID-19 pandemic may have on our business and on our customers and
our potential customers; the effects of the ongoing military
conflicts between Russia and
Ukraine and Israel and Hamas on our business and future
operating results; economic downturns and/or the effects of rising
interest rates, inflation and volatility in the global economy and
financial markets on our business and future operating results; our
potential failure to meet publicly announced guidance or other
expectations about our business and future operating results; our
limited operating history; our history of losses; failure of our
platform to satisfy customer demands; the effects of increased
competition; our investments in new products and our ability to
introduce new features, services or enhancements; social, ethical,
and security issues relating to the use of new and evolving
technologies, such as artificial intelligence, in our offerings or
partnerships; our ability to effectively expand our sales and
marketing organization; our ability to continue to build and
maintain credibility with the developer community; our ability to
add new customers or increase sales to our existing customers; our
ability to maintain, protect, enforce and enhance our intellectual
property; the growth and expansion of the market for database
products and our ability to penetrate that market; our ability to
integrate acquired businesses and technologies successfully or
achieve the expected benefits of such acquisitions; our ability to
maintain the security of our software and adequately address
privacy concerns; our ability to manage our growth effectively and
successfully recruit and retain additional highly-qualified
personnel; and the price volatility of our common stock. These and
other risks and uncertainties are more fully described in our
filings with the Securities and Exchange Commission ("SEC"),
including under the caption "Risk Factors" in our Quarterly Report
on Form 10-Q for the quarter ended October
31, 2023, filed with the SEC on December 7, 2023 and other filings and reports
that we may file from time to time with the SEC. Except as required
by law, we undertake no duty or obligation to update any
forward-looking statements contained in this release as a result of
new information, future events, changes in expectations or
otherwise.
MongoDB Public Relations
press@mongodb.com
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SOURCE MongoDB, Inc.