The Google/MongoDB tie-in: Gemini Code Assist analyzed – Business
Enterprise computing is built on partnerships. As cutting-edge innovations such as automation and artificial intelligence become more integral, industry alliances have become crucial to bringing expanded features to the enterprise.
One such longstanding partnership exists between MongoDB Inc. and Google Cloud. Google has tapped into MongoDB’s reach and developer friendliness to create a new crop of features within its cloud offering, one of which is Gemini Code Assist.
“It’s another one of those areas where we have deep integrations going on between us and Mongo so that we can collectively really meet customers where they are,” said Stephen Orban (pictured, right), vice president of migrations, ISVs and marketplace at Google Cloud. “To just give you a couple of examples, Gemini Code Assist is a service that we have inside of the Google Cloud Console where developers or customers who are using our services can ask questions and get natural language responses using Gemini [large language models].”
MongoDB’s Alan Chhabra and Google Cloud’s Stephen Orban talk with the Dave Vellante about driving innovation.
Orban and Alan Chhabra (left), executive vice president of partners at MongoDB, spoke with theCUBE Research’s chief analyst Dave Vellante at the MongoDB.local NYC event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the partnership and its aim of unlocking new possibilities, driving innovation and empowering businesses to thrive in the digital age. (*Disclosure below.)
Gemini Code Assist and accelerating enterprise AI transformation
A long-time Google Cloud ecosystem partner, a vast slew of MongoDB features have gained integration into Google’s toolbox to equip companies toward productivity, efficiency and pace of innovation. Beginning with Atlas on Google Cloud in 2019, both companies have worked in lockstep on product and go-to-market strategies, creating the synergy that has sustained the partnership, according to Chhabra.
“At a time when it was very competitive with the hyperscalers in Mongo; Google was there for us,” he said. “That loyalty, the joint value proposition to our customers where we didn’t compete, we went to market together, always stuck with us. That’s why we’ve had a phenomenal partnership since 2019. We win awards with each other every year. More importantly, customers who run Atlas on Google are very happy.”
Alongside Gemini Code Assist, MongoDB unveiled its Vertex AI extension. Using the extension, developers within the Mongo database can leverage Google’s Vertex foundational models in their data’s original store, according to Orban.
“Vertex is our platform that developers use to create — they take foundational models that we have in our model garden and then tweak and tune them using their data in their intellectual property,” he said. “Now, Mongo’s made an extension available so that we can meet those customers who use and want to continue to prefer Mongo as their data store, to do that as part of their retrieval augmentation.”
The reason behind both these capabilities focusing on AI use cases lies in its transformative power. With Google Cloud’s advancements in AI, such as Gemini and Vertex, and MongoDB’s expertise in data management, the partnership is empowering businesses to accelerate their digital transformations, Chhabra added.
“One of the most exciting use cases I’ve been working on is with one of our partners, an automotive company,” he said. “They do audio forensics of the car, where based on what the car sound makes when the car has a problem, you can detect the issue. The technician can go get the fix generated from AI. That’s running on Atlas on Google Cloud using Gemini.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the MongoDB.local NYC event:
(*MongoDB.local NYC event. Neither MongoDB Inc., .)