MongoDB Partner of the Year Award Winners 2021

Alan Chhabra
July 14, 2021
#Partners

The last 12 months have been a remarkably challenging time, with widespread changes affecting the entire world—and certainly the IT industry—like never before. However, the pandemic has also brought customers and partners further together to solve common problems, and in particular, one major trend we’ve seen accelerated is the move toward cloud modernization. At MongoDB, we’re committed to help our customers evolve to this next stage of necessary innovation and are so grateful to our 1000+ Partners who help make it happen.

A handful of strategic partners went above and beyond and I would like to congratulate Featurespace, Zaloni, Carahsoft, TCS, PeerIslands, Alibaba, AWS, and Google Cloud as our Partners of the Year! I’m excited to have shared this year’s winners during my Partner Keynote at MongoDB.live. You can still head to MongoDB.live to watch it on demand.

Independent Software Vendor (ISV) Partner of the Year

Feature Space is a disruptive company in the security space and the inventor of Adaptive Behavioral Analytics and Automated Deep Behavioral Networks technology for fraud and financial crime management. Trusted by the world’s largest banks, insurance companies and gaming organizations, Feature Space embeds MongoDB as their database platform, for both on-premise and SaaS deployment offerings. Learn more about the partnership here.

Technology Partner of the Year

Zaloni is a MongoDB data supply chain and modernization partner that helps its customers catalogue and transform their data to enhance analytics and real-time applications. A recent engagement with a fleet management client required Zaloni to move and modernize four billion records of data built on SQL to new microservices in the cloud. Using MongoDB Atlas, Zaloni helped their client successfully scale and reach new levels of customer satisfaction. Learn more about the partnership here.

Reseller Partner of the Year

Carahsoft is a trusted, long-standing partner and they continue to be one of MongoDB’s largest resellers in the world. Carahsoft’s depth and reach in the Public Sector market helps government agencies leverage Open Source technologies to drive innovation, maximize cost efficiencies and achieve success for their digital modernization initiatives. They’ve been critical to growing MongoDB’s agency, civilian and DOD business and we’re excited for what’s next. Learn more about the partnership here.

Global System Integrator Partner of the Year

Tata Consultancy Services, a leading multinational IT services and consulting company, leverages its IP-based solutions to accelerate and optimize service delivery. TCS MasterCraft™ TransformPlus uses intelligent automation to modernize and migrate enterprise-level mainframe applications to MongoDB’s leading-edge architecture and database. Together, TCS and MongoDB simplify and accelerate the customer journey to the cloud. Learn more about the partnership here.

Boutique System Integrator Partner of the Year

PeerIslands is a boutique consultancy focused on helping clients accelerate product development with cloud-based solutions. An invaluable MongoDB partner with expertise in ecommerce and inventory management modernization, PeerIslands has helped MongoDB’s ISV and retail customers modernize, moving software built for on-prem to SaaS environments more conducive to cloud environments. Learn more about the partnership here.

Cloud (Emerging) Partner of the Year

Alibaba Cloud is one of MongoDB’s largest Cloud OEM partners in the world. In our second year of our partnership with Alibaba Cloud as an authorized MongoDB-as-a-service solution, MongoDB has seen some of our strongest adoption numbers yet in mainland China. With this partnership, Alibaba Cloud ensures end-to-end management and support for customers on current and future versions of MongoDB, with the ability to escalate bug fixes and support issues on their behalf. Users of Alibaba Cloud’s platform offering receive easy access to the latest MongoDB features and capabilities, backed by comprehensive support from Alibaba Cloud and MongoDB, and we remain thrilled to scale this partnership. Learn more about the partnership here.

Cloud (Co-Sell) Partner of the Year

AWS provides a massive global cloud infrastructure that allows customers to rapidly innovate and iterate. Over the past year, MongoDB and AWS sellers came together to help customers modernize, accelerate consumption of EDPs, and close on major cross-industry and cross-vertical deals around the world. We’ve partnered together to help customers build modern, event-driven serverless applications. And as recently as April 2021, we launched a new AWS Quick Start for MongoDB Atlas, which allows AWS customers to quickly and easily launch a basic MongoDB Atlas deployment from the AWS CLI or console, taking advantage of AWS CloudFormation’s seamless automation. We also released integrations for Atlas with Amazon EventBridge, Amazon Kinesis, AWS App Runner, AWS PrivateLink, AWS Wavelength, and more in the last year. With additional integrations in the pipeline, we know there’s so much more to come with our partnership. Learn more about AWS and MongoDB here.

Cloud (Marketplace) Partner of the Year

Google Cloud views the database as an essential building block of cloud infrastructure. Since launching MongoDB Atlas on Google Cloud Marketplace over the past two years, our partnership has seen rapid adoption and acceleration across industries such as gaming, retail, healthcare, financial services, and automotive. In the last 12 months, we have integrated Atlas with more Google services, including DataStream, BigQuery, DataFlow, Cloud Run, App Engine, and Cloud Functions, helping our joint customers innovate faster. Additionally, Google Cloud’s mainframe modernization solutions now support MongoDB Atlas and help customers convert legacy COBOL code on mainframes into modern Java-based applications built on MongoDB. Together, G4 and MongoDB Atlas accelerate the modernization and migration process for organizations moving their business-critical workloads to the cloud. More and more of Google Cloud’s customers are choosing to run MongoDB Atlas for a variety of needs, such as managing large-scale product catalogs of popular e-commerce websites, building great customer experiences by unifying disparate pieces of data, or building modern global web and mobile applications. Learn more about the partnership here.

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Fine-Tune Relevance in MongoDB Atlas Search with Function Scoring and Synonyms

MongoDB Atlas Search is an embedded full-text search solution in MongoDB Atlas that gives developers a seamless and scalable experience for building fast, relevance-based application features. We announced its general availability last year at MongoDB.live 2020 and over the past year we’ve introduced many new features, including a visual index builder, search query tester, custom analyzers , and wildcard path queries . This year at MongoDB.live 2021 , we’re excited to highlight two new capabilities that help developers tune the relevance of search results. See how easy it is to get started with MongoDB Atlas Search in this demo video by Marcus Eagan, Senior Product Manager for Atlas Search. Building relevance into search results Understanding the behavior of your users is essential when thinking about search result relevance. People don’t always tell you what they want, and they sometimes use words or phrases that don’t match your content exactly. To cover these scenarios, you can use full-text search features like function scoring and synonyms. Influence search rankings with function scoring There are often multiple factors that influence how search results should be ranked. For example, let’s say you have a restaurant finder application. The explicit inputs are things like the user’s location and what they’re searching for, but what’s implied is that they likely want to see highly rated restaurants or ones with more reviews. What’s Cooking: a sample restaurant finder application using MongoDB Atlas Search Function scoring allows you to influence the order of results returned by manipulating the score of each result. In Atlas Search, that means you can use a numeric field in a document and apply a mathematical expression to it. For example, you might want to increase the score of restaurants that are sponsored or have higher star ratings. This can easily be accomplished within the same search query by simply adding the function option to the score parameter of your query. Learn more about how to use function scores in our developer tutorial . Show results for more search queries with synonyms Synonyms are often used to define terms that are semantically similar to each other to improve search results. For example, someone searching for “noodles” might want to find results for “spaghetti”, “chow mein”, or “pad thai”. Synonyms can also help with typos, especially on mobile and small keyboards. In Atlas Search, you can define collections of synonyms for a search index via the API. Synonyms can be explicit (one-way) or equivalent (two-way). Explicit synonyms are good for defining relationships between terms that are subsets of each other, like the noodle example above: “spaghetti”, “chow mein”, and “pad thai” are all explicit synonyms for “noodles”, but not each other (you don’t want results for “chow mein” in a search for “spaghetti”). Equivalent synonyms are often used for terms that have regional variations or are otherwise interchangeable both ways, like soda and pop, or Kleenex and tissues. What's next for Atlas Search Developers are increasingly turning to full-text search to make content more discoverable and relevant for application end users. With Atlas Search, we hope to not only make building full-text search easier, but also more powerful and expressive. Join our community to ask questions and find out what other developers are building with Atlas Search and let us know what you think we should build next in our feedback forums .

July 13, 2021

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Customer Service Expert Wati.io Scales Up on MongoDB

Wati.io is a software-as-a-service (SaaS) platform that empowers businesses to develop conversation-driven strategies to boost growth. Founded by CEO Ken Yeung in 2019, Wati started as a chatbot solution for large enterprises, such as banks and insurance companies. However, over time, Yeung and his team noticed a growing need among small and medium-sized businesses (SMBs) to manage customer conversations more effectively. To address this need, Wati used MongoDB Atlas and built a solution based on the WhatsApp Business API. It enables businesses to manage and personalize conversations with customers, automate responses, improve commerce functions, and enhance customer engagement. Speaking at MongoDB.local Hong Kong in September 2024, Yeung said, “The current solutions on the market today are not good enough. Especially for SMBs [that] don’t have the same level of resources as enterprises to deal with the number of conversations and messages that need to be handled every day.” Supporting scale: From MongoDB Community Edition to MongoDB Atlas “From the beginning, we relied on MongoDB to handle high volumes of messaging data and enable businesses to manage and scale their customer interactions efficiently,” said Yeung. Wati originally used MongoDB Community Edition , as the company saw the benefits of a NoSQL model from the beginning. As the company grew, it realized it needed a scalable infrastructure, so Wati transitioned to MongoDB Atlas. “When we started reaching the 2 billion record threshold, we started having some issues. Our system slowed down, and we were not able to scale it,” said Yeung. Atlas has now become an essential part of Wati’s infrastructure, helping the company store and process millions of messages each month for over 10,000 customers in 165 countries. “Transitioning to a new platform—MongoDB Atlas—seamlessly was critical because our messaging system needs to be on 24/7,” said Yeung. Wati collaborated closely with the MongoDB Professional Services and MongoDB Support teams, and in a few months it was able to rearchitect the deployment and data model for future growth and demand. The work included optimizing Wati’s database by breaking it down into clusters. Wati then focused on extracting connections, such as conversations, and dividing and categorizing data within the clusters—for example, qualifying data as cold or hot based on the read and write frequencies. This architecture underpins the platform’s core features, including automated customer engagement, lead qualification, and sales management. Deepening search capabilities with MongoDB Atlas Search For Wati’s customers, the ability to search through conversation histories and company documents to retrieve valuable information is a key function. This often requires searching through millions of records to rapidly find answers so that they can respond to customers in real-time. By using MongoDB Atlas Search , Wati improved its search capabilities, ultimately helping its business customers perform more advanced analytics and improve their customer service agents’ efficiency and customer reporting. “[MongoDB] Atlas Search is really helpful because we don’t have to do a lot of technical integration, and minimal programming is required,” said Yeung. Looking ahead: Using AI and integrating more channels Wati expects to continue collaborating with MongoDB to add more features to its platform and keep innovating at speed. The company is currently exploring to build more AI capabilities of Wati KnowBot , as well as how it can expand its integration with other conversation platforms and channels such as Instagram and Facebook. To learn more about MongoDB Atlas, visit our product page . To get started with MongoDB Atlas Search, visit the Atlas Search product page .

November 25, 2024