Expanded partnership between MongoDB and
Google Cloud enables developers to use state-of-the-art AI
foundation models from Google to build new classes of generative AI
applications with expert assistance and professional
services
NEW
YORK, June 22, 2023 /PRNewswire/
-- MongoDB, Inc. (NASDAQ: MDB) today at its developer
conference MongoDB.local NYC announced a new initiative in
partnership with Google Cloud to help developers accelerate the use
of generative AI and build new classes of applications. MongoDB
Atlas is the multi-cloud developer data platform used by tens of
thousands of customers and millions of developers globally to
quickly build and scale applications using a single platform. With
an integrated operational data store at its core, MongoDB Atlas is
uniquely positioned to help organizations of all shapes and sizes
build applications powered by generative AI faster and with less
complexity. Developers can now take advantage of MongoDB Atlas and
industry-leading partner integrations with Google Cloud's Vertex AI
large language models (LLMs) and new quick-start architecture
reviews with MongoDB and Google Cloud professional services to
accelerate software development. To get started with MongoDB Atlas
on Google Cloud, visit
mongodb.com/products/platform/atlas-cloud-providers/google-cloud.
Recent advancements in generative AI technology like LLMs
present opportunities to reimagine how end users interact with
applications. Developers want to take advantage of generative AI to
unlock their creativity and build new classes of applications, but
many current solutions require piecing together several different
technologies and components or bolting on solutions to existing
technology stacks, making software development cumbersome, complex,
and expensive. MongoDB and Google Cloud are helping address these
challenges by providing a growing set of solutions and integrations
to meet developers where they are and enable them to quickly get
started building applications that take advantage of new AI
technologies:
- Seamlessly use Google Cloud's Vertex AI foundation models
with MongoDB Atlas Vector Search: MongoDB and Google Cloud have
partnered since 2018 and have helped thousands of joint
customers—including Keller Williams, Rent the Runway, and
Ulta—adopt cloud-native data strategies. Earlier this year, that
partnership was expanded to include deeper product integrations.
Now, developers can use MongoDB Atlas Vector Search with Vertex AI
to seamlessly build applications with AI-powered capabilities for
highly personalized and engaging end-user experiences. Vertex AI
provides the text embedding API to generate embeddings from
customer data stored in MongoDB Atlas, combined with the PaLM text
models to create advanced functionality like semantic search,
classification, outlier detection, AI-powered chatbots, and text
summarization. To learn more about building applications on MongoDB
Atlas with Vertex AI, visit
mongodb.folloze.com/google-cloud-ai.
- Build AI applications faster with hands-on assistance from
experts: From ideation to execution, the MongoDB and Google
Cloud professional services teams can help rapidly prototype
applications by providing expertise on data schema and indexing
design, query structuring, and fine-tuning AI models to build a
strong foundation for applications. The Vertex AI platform caters
to the full range of AI use cases from advanced AI and data science
practitioners with end-to-end AI/ML pipelines to business users who
can create out-of-the-box experiences leveraging the foundational
models to generate content for language, image, speech, and code.
Developers can also tune models to further improve the performance
of the model for specific tasks. Google Cloud and MongoDB are
working closely together under the Built with Google Cloud AI
program to make these experiences even more seamless with Google's
Generative AI capabilities built right into MongoDB Atlas. When
applications are ready for production, the MongoDB and Google Cloud
professional services teams can optimize applications for
performance and help solve future problems through quick iteration
to get new features into production more quickly. To get started,
visit mongodb.com/products/consulting.
"With the shift in technology powered by generative AI taking
place today, the future of software and data is now, and we're
making it more evenly distributed for developers with MongoDB
Atlas," said Alan Chhabra, Executive
Vice President of Worldwide Partnerships at MongoDB. "This shift
begins with developers, and we want to democratize access to
game-changing technology so all developers can build the next big
thing. With MongoDB Atlas and our strategic partnership with Google
Cloud, it's now easier for organizations of all shapes and sizes to
incorporate AI into their applications and embrace the future."
"Generative AI represents a significant opportunity for
developers to create new applications and experiences and to add
real business value for customers," said Kevin Ichhpurani,
Corporate Vice President, Global Ecosystem and Channels at Google
Cloud. "This new initiative from Google Cloud and MongoDB will
bring more capabilities, support, and resources to developers
building the next generation of generative AI applications."
One AI enables businesses to deploy the world's best language AI
capabilities, tuned to their unique needs, in days. "We needed a
platform that allowed us to build agile, data-driven, and scalable
software, and MongoDB Atlas on Google Cloud was the obvious
choice," said Amit Ben, Founder
& CEO at One AI. "The flexibility and scalable document data
model MongoDB Atlas provides enabled us to do hundreds of small
incremental changes and additions to our platform in the last year
alone, allowing rapid development and quick adaptation to shifting
and growing needs with zero effort and no need for any migration or
compatibility issues. We are looking forward to the additional
support MongoDB and Google Cloud will provide as we grow and scale
our company."
MongoDB Developer Data Platform
MongoDB Atlas is the
leading multi-cloud developer data platform that accelerates and
simplifies building with data. MongoDB Atlas provides an integrated
set of data and application services in a unified environment to
enable developer teams to quickly build with the capabilities,
performance, and scale modern applications require.
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, our 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 new capabilities for MongoDB Atlas to build new classes
of applications. 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 conflict
between Russia and Ukraine 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 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
April 30, 2023, filed with the SEC on
June 2, 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.
Media Relations
MongoDB
press@mongodb.com
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SOURCE MongoDB, Inc.