Welcoming the Grainite Team to MongoDB: Accelerating Atlas Stream Processing

Sahir Azam
September 28, 2023 | Updated: March 18, 2025

Tens of thousands of customers and millions of developers rely on MongoDB Atlas to run business-critical applications because of its flexible document data model and ability to work with virtually any type of data using a single, intuitive modern database that can run on all major cloud providers. Earlier this year, we announced that we would enable developers to apply the benefits of the document model and a unified interface to streaming data with Atlas Stream Processing. In a short amount of time, we have seen a strong response from developers eager to use this capability to simplify building event-driven applications.

To accelerate the development of our streaming offering, we are thrilled to announce that the team behind Grainite — a streaming application platform, backed by Sequoia Capital and Menlo Ventures, that makes it easy to read, process, store, and query events in real-time — has now joined MongoDB. Grainite was founded by world-class technologists Ashish Kumar, who spent over ten years running structured storage products and other high-scale infrastructure projects at Google, and Abhishek Chauhan, who previously served as CTO of Cloud Networking at Citrix. Ashish and Abhishek bring with them a team of talented engineers to MongoDB who will help accelerate the development of Atlas Stream Processing and the release of new capabilities that will make it even easier for customers to process and analyze streaming data for real-time application experiences.

“We’re excited to be joining a company that shares our vision for making it effortless to build event-driven applications,” said Kumar. “We’re looking forward to continuing to develop a world-class streaming platform that will make it easier for developers to incorporate real-time data into their applications and becoming part of an organization that can significantly amplify the reach and impact of event-driven applications for developers and end users.”

We look forward to welcoming the Grainite team to MongoDB and sharing updates on Atlas Stream Processing and our broader streaming roadmap in the near future.

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Congratulations to the 2023 EMEA MongoDB Innovation Award Winners

Throughout 2023, MongoDB has recognized the exceptional successes our APAC and North America customers realize when they build with MongoDB Atlas. Today, we are pleased to announce the recipients of the 2023 EMEA MongoDB Innovation Awards. These customers join a premiere group of organizations that have been recognized for boldly exploring the power of data and harnessing it to build the applications of tomorrow. The professionals behind these innovative projects span industries, use cases, and geographies. However, what remains constant is each organization's unfailing commitment to delivering deeper insights, powerful features, and capabilities, as well as seamless experiences, to their customers. We congratulate each of the EMEA MongoDB Innovation Award winners for delivering big results and invite you to find inspiration in their work below. Building the Next Big Thing Since being originally founded in Finland as a food delivery service, Wolt expanded their offering into groceries, gifts, and other items, and makes it possible for people living in hundreds of cities across 25 countries to get whatever they need, delivered quickly and reliably to their front door. Due to the rapidly increasing scale in their business and new partnerships with enterprise retailers, Wolt needed to rethink their existing tooling that is used by their tens of thousands of merchant partners to manage their offering inside Wolt’s delivery platform. To provide their merchants with multi-venue management capabilities, increased automation, and no limitations on amounts of menu items, Wolt chose fully-managed MongoDB Atlas due to its flexible data document model, support for Kafka and event-driven architectures, high performance, and limitless scalability. Industry Transformation Gong ’s Revenue Intelligence Platform uses proprietary AI technology to enable revenue teams to utilize customer interactions to increase business efficiency, improve decision-making, and accelerate revenue growth. Gong chose MongoDB Atlas as a high-performing transactional database due to its ability to handle Gong’s complex data structures and algorithms, and indeed MongoDB Atlas was able to support 30-40 million daily interactions and mission-critical search queries. Through the adoption of MongoDB Atlas, Gong’s queries take only 20-30 milliseconds, and with Atlas’ sharding capabilities, Gong future-proofed its environment for ongoing growth and gained greater control over its customer data. Innovative Leadership in Diversity, Equity, and Inclusion As part of its "Inclusion for All" strategy, Vodafone is committed to ensuring our digital society is accessible to all, and that women feel empowered to participate in it. In addition, Vodafone’s mission is to have 40% of women in management roles by 2030. Earlier this year, Vodafone UK teamed up with MongoDB to host interactive sessions and networking for “Digital & IT Women in Tech Week.” With a shared goal of reducing the gender gap in technology and inspiring young women to build their careers by pursuing leadership roles, the week’s events brought together more than 200 Vodafone employees to discuss breaking workplace biases and enhancing gender equality in the industry. In addition, Vodafone spoke at the 2023 MongoDB.local London event in the IDEA Lounge. Inspiring Innovation Ernst & Young LLP (EY) manages high volumes of transactional data and its clients and internal teams work under strict timelines to file taxes and meet regulatory deadlines. Their cloud-based Global VAT Reporting Tool (GVRT) platform automates and digitizes the preparation of 242 different types of returns across 79 countries. With support from MongoDB Professional Services, EY planned and executed a data migration from their previous database solution to MongoDB Atlas so that the GVRT tool could fully benefit from MongoDB’s modern database. Since migrating to Atlas, EY experienced a significant performance boost, they reduced costs by as much as 50%, and they are able to scale without limitations to handle increased data volumes, transactional loads, and concurrent user requests during peak periods. Find out Who Uses MongoDB and read more about our customers’ MongoDB Atlas successes.

September 27, 2023
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Innovating with MongoDB | Customer Successes, July 2025

How time flies! Summer is in full swing, and it’s already time for another MongoDB customer success roundup. This month, we’re focusing on customers who have combined the flexibility of MongoDB Atlas with cutting-edge AI advancements to unlock insights and fuel innovation. Let’s be honest—AI is everywhere. We’re intrigued, inspired, and maybe a little overwhelmed by its possibilities. But the hype exists for a good reason: AI is a groundbreaking technology that’s poised to transform every industry, job, and task, and it’s fundamentally changing how software interacts with data. We’re quickly learning, though, that delivering meaningful outcomes with AI requires the right infrastructure. With MongoDB Atlas , companies are leveraging vector search, seamless document modeling, and large language model (LLM) integrations to make smarter use of their data in real time. Whether that means enhancing engagement, simplifying decision-making, or enabling more efficient processes, MongoDB is helping organizations redefine how they leverage AI to solve critical challenges and create lasting impact. In this issue, I’m particularly excited to share the highlight of an impactful platform developed by CentralReach in the Autism care space – a cause near and dear to my family. They, along with customers like the Financial Times, Ubuy, and Base39, are demonstrating AI’s possibilities and transforming how data powers success. Ubuy Ubuy , an e-commerce platform serving customers in over 180 countries, needed a faster, more scalable solution to manage its catalog of over 300 million products. They were facing significant search performance bottlenecks, which impacted user experience and limited growth potential. By migrating from MySQL to MongoDB Atlas and leveraging Atlas Search and Atlas Vector Search , Ubuy reduced search response times from 4–5 seconds to milliseconds and enabled intent-driven product discovery powered by AI. Now, Ubuy easily handles over 150 million searches annually while delivering personalized recommendations and seamless scalability. AI-driven search enhancements have boosted customer engagement and SEO visibility, transforming global e-commerce and redefining how Ubuy customers access international products. Financial Times The Financial Times (FT) , a global leader in business journalism, wanted to deliver a hybrid search experience that combined traditional keyword precision with AI-driven discovery. With over a million daily searches, scaling this innovative solution quickly was critical. Using MongoDB Atlas—including Atlas Vector Search—the FT developed its AI-powered hybrid search in just 18 weeks. By blending full-text and semantic search capabilities, the solution delivers relevant recommendations instantly, enhancing content discovery for time-strapped readers. Partnering with MongoDB streamlined deployment, enabling the FT to surface hyper-relevant results while positioning itself as a leader in media innovation. With plans to roll out hybrid search across mobile apps and specialist titles next, the FT continues redefining how readers engage with trusted journalism in an AI-enabled world. Through our partnership with The Stack, learn how our customers are achieving extraordinary results with MongoDB. This exclusive content could spark the insights you need to drive your business forward. CentralReach CentralReach , a global leader in autism and intellectual and developmental disability (IDD) care technology, faced the challenge of managing 4 billion clinical data points annually while reducing administrative burdens for behavioral analysts. By building its Care360 platform on MongoDB Atlas and joining the MongoDB AI Applications Program (MAAP), CentralReach unified data across 62 million service appointments per year. With flexible document modeling, vector search, and advanced AI pipelines, the platform enables seamless access to patient records and intelligent querying, reducing manual workflows and improving care consistency. CentralReach’s AI-powered solution has streamlined processes, reduced documentation errors, and helped expand access to care for hundreds of thousands globally. With MongoDB Atlas’s scalability and powerful AI integrations, CentralReach is redefining autism care delivery. Base39 Base39 , a Brazil-based fintech, set out to streamline complex credit analysis using AI-driven insights. Manual processes and data scarcity limited efficiency and accuracy, often delaying loan assessments by up to 10 days. By leveraging MongoDB Atlas on AWS , as well as Atlas Vector Search and LLM integrations, Base39 transformed its workflow. With agentic AI and predictive algorithms, loan applications are now assessed in minutes, achieving 96% cost reductions and improved data insights. MongoDB’s flexible schema and native vector search capabilities helped boost productivity while cutting infrastructure costs by 84%. By empowering developers to focus on innovation instead of management, Base39 has set a new standard in AI-powered credit analysis. Video spotlight: Cisco Before you go, check out how Cisco is redefining innovation with generative AI while prioritizing security. Omar Santos, Distinguished Engineer at Cisco, shares how MongoDB Atlas Vector Search accelerated development and saved millions through smarter, safer AI applications. Want to get inspired by your peers and discover all the ways we empower businesses to innovate for the future? Visit MongoDB’s Customer Success Stories hub to see why these customers, and so many more, build modern applications with MongoDB.

July 17, 2025