MongoDB Atlas Search Nodes now generally
available on Google Cloud to make it easier and more cost-effective
for customers to isolate and scale generative AI workloads
Google Cloud Vertex AI extension for MongoDB
Atlas and new Spark integration with BigQuery make it even more
seamless for customers to build generative AI applications with
their proprietary data
MongoDB joins Google Cloud's Industry Value
Network and introduces new MongoDB Atlas integration with Google
Cloud Manufacturing Data Engine to help businesses build
industry-specific solutions
MongoDB Enterprise Advanced on Google
Distributed Cloud helps customers run applications that meet the
most stringent security and data privacy requirements
LAS
VEGAS, April 9, 2024 /PRNewswire/ -- MongoDB,
Inc. (NASDAQ: MDB) today at Google Cloud Next '24 announced an
expanded collaboration with Google Cloud to make it even easier and
more cost-effective to build, scale, and deploy generative AI
applications using MongoDB Atlas Vector Search and Vertex AI from
Google Cloud, along with additional support for data processing
with BigQuery. The companies are also collaborating on new industry
solutions for retail and manufacturing, with deeper product
integrations and solutions to provide a seamless development
environment for creating engaging shopping experiences and
data-driven applications for smart factories. For customers looking
to run workloads that use highly sensitive data, MongoDB Enterprise
Advanced (EA) is now available on Google Distributed Cloud
(GDC).
"MongoDB's strong partnership with Google Cloud is the result of
our close collaboration to meet the unique demands of organizations
across industries," said Alan
Chhabra, Executive Vice President of Partners at MongoDB.
"Being awarded Google Cloud Partner of the Year—Marketplace is a
testament to our commitment to providing the best solutions for
customers building modern applications, while operating under the
highest levels of security and data privacy requirements. We look
forward to continuing to grow our partnership as more customers
choose MongoDB and Google Cloud to enhance their businesses with
new classes of generative AI applications."
"Customers continue to tell us they want world-class generative
AI support built into the leading tools they already use, such as
MongoDB," said Stephen Orban, Vice
President of Migrations, ISVs, and Marketplace at Google Cloud.
"MongoDB and Google Cloud have already helped thousands of joint
customers successfully build and deploy applications with MongoDB
Atlas on Google Cloud. We're excited to continue to build on this
strategic partnership and provide even more ways for developers to
quickly and effectively create and enhance applications with
generative AI, including access to leading models through Vertex AI
and automated data pipelines with BigQuery."
Partnered since 2018, MongoDB and Google Cloud have helped
thousands of joint customers—including Keller Williams,
Powerledger, Rent the Runway, and Ulta—adopt cloud-native data
strategies to modernize how they run their organizations and serve
end users. The expanded collaboration between MongoDB and Google
Cloud now allows customers to:
- Seamlessly isolate and scale generative AI applications for
high performance and efficiency: MongoDB Atlas Search Nodes—now
generally available on Google Cloud—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. For example, a financial services company running a
high-traffic application during tax season can use dedicated
infrastructure with Atlas Search Nodes to optimize performance
independent of their database by isolating and scaling the
generative AI portion of the workload. The company could then scale
a knowledge retrieval workload that uses MongoDB Atlas Vector
Search for AI-powered agents that autonomously take action on
behalf of end users—without having to resize their entire
database.
- Streamline building generative AI applications with leading
foundation models: MongoDB Atlas Vector Search has provided an
integration with Vertex AI since last year to give developers more
choice of managed foundation models to build generative AI
applications. Now, with a deepened integration, developers can use
a dedicated Vertex AI extension to make it even easier to work with
large language models (LLMs)—from Anthropic, Google Cloud, Meta,
Mistral, and more—without having to transform data or manage data
pipelines between MongoDB Atlas and Google Cloud. This allows
developers to more easily augment LLMs with an organization's
real-time operational data to build applications that provide
context-aware and highly personalized end-user experiences that are
more accurate, up to date, and trustworthy—all with less
complexity. Developers can also use the new extension to input
natural language in the Vertex AI console to automatically generate
queries for manipulating data and performing database operations
(e.g., create, read, update, delete) on data stored in MongoDB
Atlas for a more seamless experience.
- Enhance analytical workloads with automated pipelines for
operational data: BigQuery is a serverless, scalable, and
cost-effective enterprise data warehouse that works across clouds
for analytics, business intelligence (BI), and machine learning
workloads. Customers currently use bi-directional sync between
BigQuery and MongoDB Atlas to enhance their analytical workloads
with real-time operational data or to easily provide end-user
applications access to historical enterprise data. With a new
integration for Spark stored procedures with BigQuery, customers
can better automate, optimize, and reuse data processing workflows
between BigQuery and MongoDB Atlas for analytics, BI, and end-user
applications. For example, customers can automate pipelines that
combine and transform real-time operational data stored in MongoDB
Atlas with analytical data in BigQuery and send it to Vertex AI to
create new types of end-user application experiences.
- Enrich data from the factory floor with real-time
application data to optimize manufacturing and supply chain
operations: Tens of thousands of organizations rely on MongoDB
Atlas to securely store, process, and manage real-time application
data of diverse types with high performance and scale.
Manufacturers today want to modernize their operations by combining
data from many sources like factory equipment sensors, end-user
applications, and enterprise resource planning systems to automate
decision-making and run more efficiently. However, many
organizations are unable to transform their operations because they
still rely on legacy technologies that are difficult to replace and
cost-prohibitive to modernize. With a new integration between
MongoDB Atlas and Google Cloud Manufacturing Data Engine,
manufacturers can more easily combine and transform data from
across their organizations to automate processes and optimize
operations with modern, real-time applications.
- Easily build and deploy applications that provide modern
shopping experiences with composable commerce capabilities:
Retail organizations are at the forefront of inventing new customer
experiences with personalization and automation. However, building
applications that support these types of experiences at scale can
be cumbersome and complex. To address these challenges, MongoDB is
joining Google Cloud's Industry Value Network (IVN) partner
program, an initiative that streamlines the development of
differentiated end-to-end solutions across industries through
collaboration with system integrator partners to accelerate
innovation. Beginning with a new solution for retailers, customers
can now take advantage of MongoDB Atlas on Google Cloud using the
Integrated Commerce Network from Kin + Carta, a digital
transformation consultancy, to deploy a modern commerce
architecture to meet their unique business needs and provide
customers with highly engaging shopping experiences.
- Run highly sensitive workloads in a tightly controlled and
secured environment: Governments, public sector organizations,
and enterprises in regulated industries often struggle to modernize
their operations because of their data's high sensitivity. As a
result, these organizations face limited choices when running
workloads. With MongoDB EA on GDC, organizations can now build,
deploy, and scale applications in an air-gapped environment without
needing to connect to Google Cloud or the public internet. MongoDB
is among the first software providers to offer a validated solution
for the new Google Cloud Ready—Distributed Cloud program, a
marketplace that provides tailored integrations to support use
cases for customers with highly sensitive workloads. GDC enables
governments, public sector organizations, and regulated enterprises
to address strict data residency and security requirements, and
combined with MongoDB EA, these organizations can now modernize all
of their operations with the flexibility needed to securely deploy
innovative applications and features while protecting sensitive
data.
MongoDB and Google Cloud joint customers and partners welcome
expanded partnership
Founded in 2009, Rent the Runway is disrupting the
trillion-dollar fashion industry and changing the way women get
dressed through the Closet in the Cloud, the world's first and
largest shared designer closet. "MongoDB Atlas on Google Cloud is
fantastic because it provides the whole set of infrastructure,
which we don't have to take care of, so we can focus on our
solutions and innovations," said Mike
Liberant, Senior Director of Software Engineering at Rent
the Runway. "For example, MongoDB Atlas enables us to process our
garments more quickly and accurately without human error, which
ultimately means our customers get a better, faster service to rent
more and spend less. MongoDB and Google Cloud have been great
partners, providing the services and tools where we require
them."
Kin + Carta, a global digital transformation consultancy, helps
companies modernize their business to better address the evolving
needs of their customers. "Through the Integrated Commerce Network,
we're showcasing the best-in-breed software partners who together
make building an end-to-end commerce solution much easier," said
Tara Catalano, National Google Cloud
Alliance Lead at Kin + Carta. "MongoDB's connectors and
integrations with both BigQuery and Vertex AI make it a compelling
choice for customers who want flexibility and optionality in
building the best composable solution for their needs, as well as
positioning them well to seize the opportunity with generative
AI."
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 Cathay Pacific, 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 MongoDB's expanded
collaboration with Google Cloud. 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; 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 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-K for the
year ended January 31, 2024, filed
with the SEC on March 15, 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.
MongoDB Public Relations
press@mongodb.com
View original content to download
multimedia:https://www.prnewswire.com/news-releases/mongodb-expands-collaboration-with-google-cloud-to-help-customers-across-industries-deploy-and-scale-new-classes-of-applications-302111643.html
SOURCE MongoDB, Inc.