MongoDB Simplifies the Partner Ecosystem for Customers and Recognizes Partner Excellence

MongoDB
June 22, 2023

Organizations today have a clear imperative– building modern applications to prepare their business for the future. At MongoDB, the leading cloud-native developer data platform, we harness the power of our ecosystem to connect our customers with the innovative technology and services needed to build the modern applications end-users love. Every day, tens of thousands of customers and millions of developers rely on our flexible document-data model that can handle any type of data at scale.

To keep pace with MongoDB’s growth, the partner ecosystem has also matured, expanding to every vertical, industry, and geography, and delivering MongoDB to tens of thousands of customers.

With more than 1,000 partners across the globe, and more than 80% of MongoDB's new business touched by partners, the internal MongoDB Partner organization has quintupled in size since 2019 to support partners and provide global coverage.
Alan Chhabra, EVP of WW Partners

Now, we’re excited to announce the further evolution of our partner program, which introduces five distinct categories to help customers understand what partners have to offer with MongoDB: Technology, Powered by MongoDB, Cloud, Go-to-Market, and Solutions and Services partners. MongoDB partners are able to fall into multiple categories, as partners can fulfill different roles with many different solutions.

MongoDB Technology Partners deliver proven interoperability and technology integrations that solve industry problems, build credibility, and establish trust with our joint customers. Some of our MongoDB Technology partners include Confluent, Vercel, Datadog, and others.

Powered by MongoDB Partners offer software solutions, delivered as SaaS or packaged solutions, for technology or industry problems, built on MongoDB technology. Some of our Powered By MongoDB partners include Temenos, Commercetools, Transmit Security, Featurespace, Volante, and others.

MongoDB Cloud Partners offer a certified MongoDB cloud service for their customers, backed by MongoDB technology, support and GTM. Examples of these alliances include Microsoft, Rackspace, Digital Ocean, and more.

MongoDB Solutions and Services Partners solve customer problems better and faster with certified skills on MongoDB technology. These partners drive innovation and business impact with MongoDB validated professional services, leveraging their certified MongoDB skills, and service practices. Examples of these partnerships include Gravity9, Wekan, Clarity Solutions, PureInsights, TCS, Infosys, Cognizant, HCL, Wipro, Deloitte, and Tech Mahindra.

As we update our partner program, we also want to recognize the global partners that helped drive exceptional joint success over the past year. We are proud to announce our 2023 Partner of the Year Awards, which align to our new partner program categories and represent partners from across the ecosystem.

Technology Partner of the Year: Databricks

We recognize Databricks for our joint Lakehouse and MongoDB Atlas solution, which expertly enables companies to easily build analytics and AI into operational applications in the cloud. This year, we jointly aligned on our product roadmaps and a go-to-market solution, formalizing what many of our customers were already doing and creating an avenue for more users to achieve the same success.

Powered by MongoDB Partner of the Year: BigID

BigID is a leader in data security, privacy, compliance, and governance. BigID leverages MongoDB to generate data insights at scale, automate advanced discovery & classification, and accommodate complex enterprise requirements. This year, we expanded our partnership internationally, focusing on GTM efforts in markets like the UK, France, and Italy across the Financial Services and Retail industries.

Cloud Partner of the Year - Marketplace: AWS

AWS Marketplace continues to lead in terms of transactions for MongoDB customers. The launch of the MongoDB Atlas Pay-As-You-Go Listing on AWS Marketplace made it even easier for the customers of MongoDB to procure MongoDB Atlas and start their development on cloud. AWS provides exceptional support to its marketplace partners and MongoDB has seen great benefits across both co-sell and co-marketing initiatives. The collaboration between AWS and MongoDB continues to benefit customers and makes them worthy of our Cloud Partner of the Year - Marketplace award.

Cloud Partner of the Year - Hybrid: IBM

IBM is a global technology company that provides infrastructure, software, hybrid cloud services, and cognitive computing to global enterprise clients. This year, IBM and MongoDB continued to drive value and performance that empowers our customers to accelerate their digital transformation and hybrid cloud journey.

Cloud Partner of the Year - International: Alibaba Cloud

Alibaba Cloud and MongoDB have partnered to offer ApsaraDB for MongoDB, a fully managed database service that makes it easy to build and scale modern applications specifically in the APAC and Greater China markets. Since 2019, this partnership has led to 8x growth in customer usage and, over the past year, we’ve seen an increasing number of customers across a variety of industries, including gaming, automotive, and content development.

Cloud Partner of the Year - Go-to-Market: Google Cloud

Since 2019, Google Cloud and MongoDB have worked together to give businesses the infrastructure, data intelligence, and developer centric tools they need to power modern data-driven applications. This past year, we expanded this partnership by developing a joint go-to-market strategy, increasing the reach of our pay-as-you-go offering and increasing deals driven by marketplace transactions by 260%.

Solutions Partner of the Year: Exafluence

Exafluence is a leading data and analytics company that focuses on empowering organizations to stay ahead of the curve in their respective industries. Exafluence has pioneered several highly strategic healthcare solutions on MongoDB across regulatory compliance and care quality management. We look forward to continuing to build and expand with Exafluence, our Solutions Partner of the Year.

Services Partner of the Year - AMER: Accenture

Together, MongoDB and Accenture provide unparalleled expertise to help customers modernize their environments—and adopt a cloud-first approach throughout their organization. As the cloud becomes more critical to managing data at scale, our partnership helps enterprises unlock value from legacy data by building new applications and modernizing existing applications faster. Through a combination of MongoDB's and Accenture’s data-centric tools and technical knowledge we continue to help customers achieve their desired outcomes - the last 12 months has yet again proven the value of our partnership.

Services Partner of the Year - International: Capgemini

Capgemini is a global leader in cloud, data artificial intelligence, connectivity, software, digital engineering and platforms, with strong focus on environmental impact improvement. Capgemini and MongoDB have been enabling business critical legacy modernization and innovation initiatives in leading enterprise customers across the world, developing unique joint accelerators and industry specific solutions to help our customers differentiate.

Services Partner of the Year - Emerging: PeerIslands

PeerIslands is a premium consulting firm focused on providing high-velocity digital transformation. PeerIslands developed a suite of tools that allow for easy adoption of MongoDB and seamless modernization of application workloads to MongoDB within enterprises.

We are grateful to all of our partners for their hard work and dedication in helping us to deliver the best possible experience to our customers. We look forward to continuing to work with our partners to help customers build and scale their applications on MongoDB. To learn more about the MongoDB Partner Program, please visit our website.

Today, we’re thrilled to introduce the MongoDB AI Innovators Program — which provides organizations building AI technology access to credits for MongoDB Atlas, along with accelerated partnership opportunities in the MongoDB Partner Ecosystem. To get started with the MongoDB AI Innovators Program, visit our website.

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Presentamos Atlas Vector Search: cree aplicaciones inteligentes con búsqueda semántica e inteligencia artificial sobre cualquier tipo de datos

Nos complace anunciar que Atlas Vector Search se encuentra ahora en Disponibilidad general. Vector Search ahora es compatible con cargas de trabajo de producción que le permiten seguir desarrollando aplicaciones inteligentes basadas en búsqueda semántica e IA generativa, al tiempo que optimiza el consumo de recursos y mejora el rendimiento con nodos de búsqueda. En el blog que se encuentra a continuación podrá leer el anuncio completo y la lista de beneficios. Por fin ha llegado el momento. La inteligencia artificial se ha desplazado hacia la izquierda. Lo que alguna vez se construyó y a menudo quedó atrapado dentro de los equipos de ciencia de datos y aprendizaje automático de toda la empresa ahora está disponible para los constructores de todo el mundo. Pero para aprovechar el increíble poder de estas nuevas herramientas, es necesario construir sobre una plataforma de datos confiable, componible y elegante. Al mismo tiempo, como todos hemos visto, estas nuevas capacidades son tan buenas como los datos o la “verdad sobre el terreno” a los que tienen acceso. Es por eso que estamos encantados de agregar otra capacidad a la plataforma de datos para desarrolladores MongoDB Atlas para desbloquear todo el potencial de sus datos y potenciar las aplicaciones de IA. Hoy, MongoDB se complace en anunciar nuestra nueva y emocionante capacidad de Vector Search diseñada para satisfacer las demandas de datos en todas sus formas y permitir a nuestros socios aprovechar estas nuevas e increíbles capacidades. Consulte nuestra página de recursos de IA para obtener más información sobre la creación de aplicaciones basadas en IA con MongoDB. ¿Cuál es la capacidad? Para aquellos que no están familiarizados, Vector Search es una capacidad que les permite consultar sus datos basándose en la semántica o el significado de los datos en lugar de los datos en sí. Esto es posible gracias a que puede representar numéricamente todas las formas de datos como vectores que luego se pueden comparar entre sí mediante algoritmos sofisticados. El primer paso es tomar los datos de origen como texto, audio o vídeo y convertirlos en "Vectores" utilizando un "modelo de codificación". Con los avances recientes en inteligencia artificial, estos vectores ahora pueden capturar mejor el significado de los datos al proyectar datos de dimensiones inferiores en un espacio de dimensiones superiores que contiene más contexto sobre los datos. Una vez que estos datos se hayan transformado en estas representaciones numéricas, puede realizar consultas para encontrar valores similares utilizando un algoritmo de vecinos que permite que sus consultas encuentren datos con vectores similares muy rápidamente. Esto le permite satisfacer consultas como "dame películas con sentimiento de tristeza" o "dame imágenes que parezcan...". Esta capacidad desbloquea una nueva clase de capacidades. ¿Cómo se relaciona con nuestra plataforma? Con esta funcionalidad integrada de forma nativa en MongoDB Atlas, no hace falta copiar o transformar sus datos, aprender nuevas pilas o sintaxis, ni administrar un conjunto de infraestructura completamente nuevo. Con Atlas Vector Search de MongoDB nada de esto es necesario, puede utilizar estas capacidades nuevas y potentes dentro de una plataforma de primera clase y probada para crear aplicaciones más rápido que nunca. Muchos de los desafíos inherentes al aprovechamiento de la IA y la búsqueda vectorial surgen de la complejidad que implica exponer de forma segura los datos de su aplicación. Estas tareas añaden capas de fricción a la experiencia del desarrollador y hacen que sus aplicaciones sean más difíciles de crear, depurar y mantener. MongoDB elimina estos desafíos y al mismo tiempo lleva el poder de Vector Search a una plataforma que escala orgánicamente de forma tanto vertical como horizontal para soportar cualquier carga de trabajo que le plantee. Finalmente, nada de esto importaría sin garantías de seguridad y disponibilidad. El compromiso de MongoDB con una solución de administración de datos segura con alta disponibilidad a través de redundancia y conmutación por error automática garantiza que su aplicación nunca pierda el ritmo. Nuevo en MongoDB.local London Desde .Local London nos complace anunciar la introducción de una etapa de agregación de Vector Search dedicada que se puede invocar a través de $vectorSearch. Esta nueva etapa de agregación introduce algunos conceptos nuevos que potencian y facilitan más que nunca la utilización de Vector Search. Con $vectorSearch también puede utilizar un prefiltro con sintaxis MQL (p. ej., $gte, $eq, etc.) que filtra los documentos a medida que recorre el índice, lo que genera resultados coherentes y un alto rendimiento. Cualquier desarrollador que comprenda MongoDB podrá aprovechar esta capacidad de filtrado con facilidad. Por último, también estamos introduciendo dos formas de configurar los resultados dentro de la etapa de agregación, los parámetros "numCandidates" y "limit", con los que puede configurar el número de documentos que serán candidatos para la búsqueda aproximada del vecino más cercano y luego limitar el número de resultados que desea obtener con "limit". ¿Cómo interactúa con el ecosistema? La cantidad de innovación que se está produciendo en torno a la Inteligencia Artificial es asombrosa, y es sorprendente ver los avances que la comunidad de código abierto está haciendo. Se están logrando grandes avances en los modelos de lenguaje de código abierto, así como en los diversos métodos que se pueden integrar en las aplicaciones. Con el poder bruto expuesto por la Inteligencia Artificial, nunca fue más importante tener una abstracción sólida sobre la capacidad de brindar a los desarrolladores la flexibilidad que necesitan. Con esto en mente, estamos encantados de compartir que tenemos varias capacidades compatibles con LangChain y LlamaIndex, desde compatibilidad hasta registro de chat e indexación de documentos. Nos estamos moviendo rápido y continuaremos lanzando nuevas funciones para los principales proveedores. Para cerrar Dicho esto, esto recién comienza. En MongoDB, estamos comprometidos a ayudar a los desarrolladores a potenciar la próxima generación de aplicaciones basadas en IA con la mejor plataforma de datos para desarrolladores del mercado. También buscaremos más marcos y arquitecturas de complementos compatibles. Pero como siempre, la parte más importante de esta ecuación es usted, el desarrollador. Hablaremos con la comunidad y encontraremos la manera de brindarle un mejor servicio y asegurarnos de satisfacer sus necesidades en cada paso del camino. ¡A desarrollar! Para obtener más información sobre Atlas Vector Search y ver si sería la solución adecuada para usted, consulte nuestra documentación , documentos técnicos y tutoriales o comience hoy mismo .

June 22, 2023

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Payments Modernization and the Role of the Operational Data Layer

To stay relevant and competitive, payment solution providers must enhance their payment processes to adapt to changing customer expectations, regulatory demands, and advancing technologies. The imperative for modernization is clear: payment systems must become faster, more secure, and seamlessly integrated across platforms. Driven by multiple factors—real-time payments, regulatory shifts like Payment Services Directive 2 (PSD2), heightened customer expectations, the power of open banking, and the disruptive force of fintech startups—the need for payment modernization has never been more pressing. But transformation is not without its challenges. Complex systems, industry reliance on outdated technology, high upgrade costs, and technical debt all pose formidable obstacles. This article will explore modernization approaches and how MongoDB helps smooth transformations. Approaches to modernization As businesses work to modernize their payment systems, they need to overcome the complexities inherent in updating legacy systems. Forward-thinking organizations embrace innovative strategies to streamline their operations, enhance scalability, and facilitate agile responses to evolving market demands. Two such approaches gaining prominence in the realm of payment system modernization are domain-driven design and microservices architecture : Domain-driven design: This approach focuses on a business's core operations to develop scalable and easier-to-manage systems. Domain-driven design ensures that technology serves strategic business goals by aligning system development with business needs. At its core, this approach seeks to break down complex business domains into manageable components, or "domains," each representing a distinct area of business functionality. Microservices architecture: Unlike traditional monolithic architectures, characterized by tightly coupled and interdependent components, a microservices architecture decomposes applications into a collection of loosely coupled services, each of which is responsible for a specific business function or capability. It introduces more flexibility and allows for quicker updates, facilitating agile responses to changing business requirements. Discover how Wells Fargo launched their next-generation card payments by building an operational data store with MongoDB . Modernizing with an operational data layer In the payments modernization process, the significance of an operational data layer (ODL) cannot be overstated. An ODL is an architectural pattern that centrally integrates and organizes siloed enterprise data, making it available to consuming applications. The simplest representation of this pattern looks something like the sample reference architecture below. Figure 1: Operational Data Layer structure An ODL is deployed in front of legacy systems to enable new business initiatives and to meet new requirements that the existing architecture can’t handle—without the difficulty and risk of fully replacing legacy systems. It can reduce the workload on source systems, improve availability, reduce end-user response times, combine data from multiple systems into a single repository, serve as a foundation for re-architecting a monolithic application into a suite of microservices, and more. The ODL becomes a system of innovation, allowing the business to take an iterative approach to digital transformation. Here's why an ODL is considered ideal for payment operations: Unified data management: Payment systems involve handling a vast amount of diverse data, including transaction details, customer information, and regulatory compliance data. An ODL provides a centralized repository for storing and managing this data, eliminating silos and ensuring data integrity. Real-time processing: An ODL enables real-time processing of transactions, allowing businesses to handle high numbers of transactions swiftly and efficiently. This capability is essential for meeting customer expectations for instant payments and facilitating seamless transactions across various channels. Scalability and flexibility: Payment systems must accommodate fluctuating transaction volumes and evolving business needs. An ODL offers scalability and flexibility, allowing businesses to scale their infrastructure as demand grows. Enhanced security: An ODL incorporates robust security features —such as encryption, access controls, and auditing capabilities—to safeguard data integrity and confidentiality. By centralizing security measures within the ODL, businesses can ensure compliance with regulatory requirements and mitigate security risks effectively. Support for payments data monetization: Payment systems generate a wealth of data that can provide valuable insights into customer behavior, transaction trends, and business performance. An ODL facilitates real-time analytics and reporting by providing a unified platform for collecting, storing, and analyzing this data. Transform with MongoDB MongoDB’s fundamental technology principles ensure companies can reap the advantages of microservices and domain-driven design—specifically, our flexible data model and built-in redundancy, automation, and scalability. Indeed, the document model is tailor-made for the intricacies of payment data, ensuring adaptability and scalability as market demands evolve. Here’s how MongoDB helps with domain-driven design and microservice implementation to adopt industry best practices: Ease of use: MongoDB’s document model makes it simple to model or remodel data to fit the needs of payment applications. Documents are a natural way of describing data. They present a single data structure, with related data embedded as sub-documents and arrays, making it simpler and faster for developers to model how data in the application will be mapped to data stored in the database. In addition, MongoDB guarantees the multi-record ACID transactional semantics that developers are familiar with, making it easier to reason about data. Flexibility: MongoDB’s dynamic schema is ideal for handling the requirements of microservices and a domain-driven design. Domain-driven design emphasizes modeling the domain to reflect the business requirements, which may evolve over time. MongoDB's flexible schema allows you to store domain objects as documents without rigid schema constraints, facilitating agile development and evolution of the domain model. Speed: Using MongoDB for an ODL means you can get better performance when accessing data, and write less code to do so. A document is a single place for the database to read and write data for an entity. This locality of data ensures the complete document can be accessed in a single database operation that avoids the need internally to pull data from many different tables and rows. Data access and microservice-based APIs: MongoDB integrates seamlessly with modern technologies and frameworks commonly used in microservices architectures. MongoDB's flexible data model and ability to handle various data types, including structured and unstructured data, is a great fit for orchestrating your open API ecosystem to make data flow between banks, third parties, and consumers possible. Scalability: Even if an ODL starts at a small scale, you need to be prepared for growth as new source systems are integrated, adding data volume, and new consuming systems are developed, increasing workload. MongoDB provides horizontal scale-out on low-cost, commodity hardware or cloud infrastructure using sharding to meet the needs of an ODL with large data sets and high throughput requirements. High availability: Microservices architectures require high availability to ensure that individual services remain accessible even in the event of failures. MongoDB provides built-in replication and failover capabilities, ensuring data availability and minimal downtime in case of server failures. Payment modernization is not merely a trend but a strategic imperative. By embracing modern payment solutions and leveraging the power of an ODL with MongoDB, organizations can unlock new growth opportunities, enhance operational efficiency, and deliver superior customer experiences. Learn how to build an operational data layer with MongoDB using this Payments Modernization Solution Accelerator . Learn more about how MongoDB is powering industries on our solution library .

May 15, 2024