MongoDB Atlas now available on Azure OpenAI
Service
New Microsoft Fabric Mirroring integration
with MongoDB Atlas allows for near real-time data
syncs
MongoDB Enterprise Advanced now available on
Azure Marketplace for Azure Arc-enabled Kubernetes
applications
CHICAGO, Nov. 19,
2024 /PRNewswire/ -- Today at Microsoft Ignite,
MongoDB, Inc. (NASDAQ: MDB) announced an expanded collaboration
with Microsoft that introduces three new capabilities for joint
customers. First, customers building applications powered by
retrieval-augmented generation (RAG) can now select MongoDB Atlas
as a vector store in Microsoft Azure AI Foundry, combining MongoDB
Atlas's vector capabilities with generative AI tools and services
from Microsoft Azure and Azure Open AI. Meanwhile, users looking to
maximize insights from operational data can now do so in near
real-time with Open Mirroring in Microsoft Fabric for MongoDB
Atlas. And the launch of MongoDB Enterprise Advanced (EA) on Azure
Marketplace for Azure Arc-enabled Kubernetes applications enables
organizations that operate across on-premises, multi-cloud, and
edge Kubernetes environments to choose MongoDB. With these
capabilities, MongoDB is meeting customers where they are on their
innovation journeys, and making it easier for them to unleash the
power of data.
Through the strengthened MongoDB-Microsoft relationship,
customers will be able to:
- Enhance LLMs with proprietary data stored in MongoDB
Atlas: Accessible through Azure AI Foundry, the Azure
OpenAI Service allows businesses to develop RAG applications with
their proprietary data in combination with the power of advanced
LLMs. This new integration with Azure OpenAI Service enables users
to take enterprise data stored in MongoDB Atlas and augment LLMs
with proprietary context. This collaboration makes it easy to build
unique chatbots, copilots, internal applications, or
customer-facing portals that are grounded in up-to-date enterprise
data and context. Developers are now able to add MongoDB Atlas as a
vector data store for advanced LLMs, all without the need for
additional coding or pipeline building. And through Azure AI
Foundry's "Chat Playground" feature, developers can quickly test
how their enterprise data and selected LLM function together before
taking it to production.
- Generate key business insights faster: Microsoft Fabric
empowers businesses to gather actionable insights from their data
on an AI-powered Analytics platform. Now Open Mirroring in
Microsoft Fabric with MongoDB Atlas will allow for a near real-time
connection, to keep data in sync between MongoDB Atlas and OneLake
in Microsoft Fabric. This enables the generation of near real-time
analytics, AI-based predictions, and business intelligence reports.
Customers will be able to seamlessly take advantage of each data
platform without having to choose between one or the other, or
without worrying about maintaining and replicating data from
MongoDB Atlas to OneLake.
- Deploy MongoDB Their Way: The launch of
MongoDB EA on Azure Marketplace for Azure Arc-enabled Kubernetes
applications gives customers greater flexibility when building
applications across multiple environments. With MongoDB EA,
customers are able to deploy and self-manage MongoDB database
instances in the environment of their choosing, including
on-premises, hybrid, and multi-cloud. The MongoDB Enterprise
Kubernetes Operator, part of the MongoDB Enterprise Advanced
offering, enhances the availability, resilience, and scalability of
critical workloads by deploying MongoDB replica sets, sharded
MongoDB clusters, and the Ops Manager tool across multiple
Kubernetes clusters. Azure Arc further complements this by
centrally managing these Kubernetes clusters running anywhere—in
Azure, on premises, or even in other clouds. Together, these
capabilities ensure that customers can build
robust, distributed applications by leveraging the resilience
of a strong data layer along with the central management
capabilities that Azure Arc offers for its Arc-enabled Kubernetes
applications.
"We frequently hear from MongoDB's customers and partners that
they're looking for the best way to build AI applications, using
the latest models and tools." said Alan
Chhabra, Executive Vice President of Partners at MongoDB.
"And to address varying business needs, they also want to be able
to use multiple tools for data analytics and business insights.
Now, with the MongoDB Atlas integration with Azure AI Foundry,
customers can power gen AI applications with their own data stored
in MongoDB. And with Open Mirroring in Microsoft Fabric, customers
can seamlessly sync data between MongoDB Atlas and OneLake for
efficient data analysis. Combining the best from Microsoft with the
best from MongoDB will help developers push applications even
further."
Joint Microsoft and MongoDB customers and partners welcome the
expanded collaboration for greater data development
flexibility.
Trimble, a leading provider of construction technology, delivers
a connected ecosystem of solutions to improve coordination and
collaboration between construction teams, phases and processes.
"As an early tester of the new integrations, Trimble views
MongoDB Atlas as a premier choice for our data and vector storage.
Building RAG architectures for our customers require powerful tools
and these workflows need to enable the storage and querying of
large collections of data and AI models in near real-time," said
Dan Farner, Vice President of
Product Development at Trimble. "We're excited to continue to build
on MongoDB and look forward to taking advantage of its integrations
with Microsoft to accelerate our ML offerings across the
construction space."
Eliassen Group, a strategic consulting company that provides
business, clinical, and IT services, will use the new Microsoft
integrations to drive innovation and provide greater flexibility to
their clients.
"We've witnessed the incredible impact MongoDB Atlas has had on
our customers' businesses, and we've been equally impressed by
Microsoft Azure AI Foundry's capabilities. Now that these powerful
platforms are integrated, we're excited to combine the best of both
worlds to build AI solutions that our customers will love just as
much as we do," said Kolby Kappes,
Vice President - Emerging Technology, Eliassen Group.
Available in 48 Azure regions globally, MongoDB Atlas provides
joint customers with the powerful capabilities of the document data
model. With versatile support for structured and unstructured data,
including Atlas Vector Search for RAG-powered applications, MongoDB
Atlas accelerates and simplifies how developers build with
data.
"By integrating MongoDB Atlas with Microsoft Azure's powerful AI
and data analytics tools, we empower our customers to build modern
AI applications with unparalleled flexibility and efficiency," said
Sandy Gupta, VP, Partner Development
ISV, Microsoft. "This collaboration ensures seamless data
synchronization, real-time analytics, and robust application
development across multi-cloud and hybrid environments."
To read more about MongoDB Atlas on Azure go to
https://www.mongodb.com/products/platform/atlas-cloud-providers/azure.
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 a wide variety of
applications, all in a unified and consistent user experience.
MongoDB has more than 50,000 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 MongoDB's deepened
partnership with Microsoft. 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 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; 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 effects of
social, ethical and regulatory issues relating to the use of new
and evolving technologies, such as artificial intelligence, in our
offerings or partnerships; 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 Annual Report on Form 10-Q for the quarter ended July 31, 2024, filed with the SEC on August 30, 2024, 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.
Investor Relations
Brian Denyeau
ICR for MongoDB
646-277-1251
ir@mongodb.com
Media Relations
MongoDB
press@mongodb.com
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