December 2022 Summaries

MongoDB` released several new features in 2022, including `Queryable Encryption`, which allows users to query fully-encrypted data, and `cluster-to-cluster sync`, which enables one-way synchronization between any two MongoDB clusters. The company also announced improvements to `time series data` and `change streams`. Additionally, MongoDB released `MongoDB 6.0`, which brought new features such as improved security, increased scalability, and enhanced analytics capabilities. The platform is now more accessible for developers, with tools like `Apollo GraphQL` and `Prometheus monitoring integration`. These updates aim to simplify the development process, reduce complexity, and provide a unified developer experience.

MongoDB is playing a significant role in the adoption of digital-first data strategies across Asia Pacific, particularly in Singapore. The company's team has expanded rapidly to support exponential growth and demand in the region. Businesses are leveraging MongoDB to quickly build new digital capabilities and respond to changing market conditions. The platform's simplicity, flexibility, and robust security have made it a popular choice among customers, including those in Singapore and across Asia Pacific. Companies such as Open Government Singapore and TableCheck are using MongoDB to power their growth and innovation, with the platform providing a secure and reliable data management system that meets the needs of highly regulated markets like Singapore. With its investments in Singapore firmly established as the regional ASEAN hub for customers and partners, MongoDB is poised for further growth and expansion in the region.

TableCheck, a premier booking and guest platform based in Tokyo, has effectively utilized MongoDB since its inception in 2013 to enhance its restaurant management services. Originally a Ruby on Rails monolith, TableCheck has evolved to incorporate satellite microservices while maintaining MongoDB as its central database. The company transitioned from managing its MongoDB Enterprise clusters to using MongoDB Atlas on AWS, benefiting from its flexibility and ease of use. MongoDB's Mongoid ODM seamlessly integrates with Ruby on Rails, allowing developers to efficiently work with MongoDB data represented in native Ruby structures. TableCheck also replicates data to Elasticsearch for search functionalities but may simplify with rising Atlas Search utility. Data changes are broadcast over Apache Kafka using the MongoDB Kafka Connector, with several microservices built in Elixir, leveraging PostgreSQL for analytics until an official MongoDB driver surfaces. TableCheck's contributions to MongoDB's open-source projects have significantly improved community resources, and the company continues to advocate for best practices in development and collaboration.

MongoDB has been actively involved in various aspects of the AWS re:Invent 2022 conference, including hosting talks, workshops, and sessions; meeting with customers and partners; and connecting with developers. MongoDB was awarded the AWS Marketplace Partner of the Year for the EMEA region, highlighting its growth and collaboration with AWS. The company's customers were also prominently featured in various keynote addresses, showcasing their use cases and trust in MongoDB. Several joint MongoDB and AWS partners, including Vercel and BigID, were highlighted as well. MongoDB executives, such as CEO Dev Ittycheria and CISO Lena Smart, participated in fireside chats and panel discussions to discuss security innovations, the rise of the developer data platform, making the most out of your data, demystifying the edge, and transitioning from relational to NoSQL. The company also hosted lightning talks on various practical topics, including frontend development, real-time analytics, and more.

A Forrester Study on next-generation data platforms reveals that financial institutions are increasingly adopting these platforms due to the need to leverage data efficiently and overcome challenges posed by legacy technology. The study found that 57% of decision makers believe their legacy technology is too expensive, 50% say it cannot support transactional data volumes, and 47% struggle with rate of change required to stay up-to-date with customer expectations. Adoption of next-generation data platforms is already high, with nearly 90% of respondents saying they are adopting, and the benefits include freeing up teams to focus on innovation, enabling faster software builds, and improving security and risk management capabilities. The top drivers for investment in these platforms are multi-cloud capabilities, scalability, and real-time analytics capabilities. Financial institutions use next-generation data platforms to replace legacy technologies, reduce costs and complexity, and improve customer experience. The study highlights the importance of adopting a next-generation data platform to remain competitive and build experiences that retain customers.

MongoDB has donated 20 MacBook Air laptops to the Metropolitan School - Frankfurt (MSF) as part of an initiative to support students, including Ukrainian refugees who are studying there after leaving their home country due to war. The laptops were pre-loaded with MongoDB and will provide technology for learning and staying connected with family and friends. This donation is part of a broader effort by Cyntegrity, a German-based company that has been a supporter of those affected by the conflict, including hiring Ukrainian software developers and making regular donations to Doctors Without Borders. The Metropolitan School - Frankfurt provides daily food supplies for up to 200 refugees per day through its school kitchen, and other ways to support Ukrainian refugees include housing a refugee, volunteering in local efforts, donating to nonprofits, and visiting Global Citizen for various actions to show support.

Telco Scaling Strategies: Modernizing Business Support Systems for Flexible Revenue Growth` is a topic that highlights the challenges faced by telecommunications companies (telcos) in scaling their business support systems (BSS) to accommodate the complexity of modern 5G networks and customer-centric experiences. The article emphasizes the need for telcos to modernize their core customer data systems to have a single view of customers and their billing-related data, as well as simplify product catalog architectures to deliver personalized and real-time shopping experiences. The article also discusses the benefits of using a hybrid cloud approach, which enables telcos to set the stage for a successful migration at the right pace for the company. Additionally, it highlights the importance of partnering with tech partners like MongoDB and Tech Mahindra to overcome the limitations of existing legacy systems and achieve operational and competitive advantages in the digital-first world.

The advent of 5G is driving a significant shift in the mobile user experience, with real-time business, streaming, and gaming applications becoming essential for telecommunications companies' enterprise growth. However, supporting these applications on a 5G network demands more from systems that support them, leading to complexity issues. To address this, operators are reevaluating their data strategy by recognizing the need for a developer-focused data platform to enable agility across the enterprise. This is in line with a new IDC white paper sponsored by MongoDB, which highlights the importance of effective data management in taming the 5G network complexity beast. The paper emphasizes the need for building business solutions at the network edge and leveraging modern platforms to address data challenges. It also notes that selecting the right database is a strategic decision that directly impacts developer productivity, application performance, and ultimately an organization's attractiveness to customers.

Simplifying IoT Connectivity with myDevices and MongoDB involves leveraging the strengths of both platforms to create a seamless experience for device management, data storage, and analytics. By using myDevices' plug-and-play sensors and LoRaWAN gateways, developers can quickly deploy IoT solutions that are scalable, secure, and cost-effective. MongoDB Atlas provides a robust database platform that supports the full life cycle of IoT data, from ingestion to real-time analytics and visualization. The integration between myDevices and MongoDB Atlas enables easy data transfer and storage, allowing developers to focus on building innovative IoT applications. With its native time series platform, change streams, aggregation framework, and data federation capabilities, MongoDB Atlas provides a powerful toolset for IoT developers to build scalable and secure data-driven solutions. By simplifying IoT connectivity, myDevices and MongoDB Atlas empower organizations to embark on digital transformation journeys and unlock the full potential of their IoT investments.

Sharing is now easier with organization-wide sharing in Atlas Charts, allowing teams to quickly share insights across their entire organization without the need for individual user provisioning. This feature makes it simple to keep employees informed of key business metrics or product growth through a single click, while maintaining data security and granular control over access to data sources.

MongoDB enhances the Google BigQuery experience by providing a complementary technology that delivers value through its strongest qualities. This combination enables businesses to unlock the full potential of their data, delivering insights and analytics in real-time, while also simplifying their data lifecycle. With MongoDB Atlas, engineers can build applications faster, handle diverse schema, query, and update patterns, and adapt to demanding user needs. The platform's features such as Atlas Charts, Triggers and Alerts, Search, Data Federation, and 360-degree customer views enable businesses to make better predictions, improve customer satisfaction, and retain customers through personalization and targeted marketing communications.

Achieving Industrial Connectivity at Scale with Wimera and MongoDB involves leveraging Industry 4.0 technologies such as cyber-physical systems, Industrial Internet of Things (IIoT), cloud computing, and immersive visualization to create smart factories that can deal with complexity and fast-paced production. Wimera Systems is solving the challenge of connecting manufacturing equipment to collect, store, and analyze data for insights using its unique hardware, software application, and AI/ML-based analytics engine, with MongoDB as the core component of its IIoT suite. The partnership between Wimera and MongoDB enables customers to deploy and run their solutions anywhere, including on-premises and in the cloud, with MongoDB's flexible data model making it easy to combine and enrich data for insights. The integration of MongoDB with Wimera's Smart Factory Suite provides real-time adjustments for increased production efficiency and less downtime, while also enabling advanced analytics through AI/ML models and leveraging MongoDB for application-driven analytics in real time.