May 11, 2023 | Updated: May 12, 2023
We’re proud to announce our global expansion of MongoDB Atlas on AWS (Amazon Web Services) in the Middle East, Europe, and APAC. The launch of regions in the United Arab Emirates (UAE), Zurich, Spain, Hyderabad, and Melbourne expands availability of MongoDB Atlas to 27+ AWS regions around the world.
The UAE region is an AWS Recommended Region, meaning it has three Availability Zones (AZ), bringing significant infrastructure to the Middle East. When you deploy a cluster in the UAE, Atlas automatically distributes replicas to the different AZs for higher availability. If there’s an outage in one zone, the Atlas cluster will automatically fail over to keep running in the other two. And you can also deploy multi-region clusters with the same automatic failover built-in.
We’re delighted that — as with customers in Bahrain, Cape Town, and more — United Arab Emirates organizations will now be able to keep data in their own country, delivering low-latency performance and ensuring confidence in data locality. UAE customers in government, financial services, and utilities in particular will benefit from this expansion.
In addition to the launch in the UAE region, MongoDB Atlas is now available in Zurich and Spain, expanding to our already strong presence in the EMEA and giving our customers the ability to build and run applications with data sovereignty requirements for the region. MongoDB was awarded AWS Marketplace Partner of the Year - EMEA for 2022, and we are committed to continuing to make Atlas easily accessible across the region.
Our expansion in APAC is also particularly exciting given the recent momentum of MongoDB Atlas on AWS in the region. Increased availability in India and Australia will help to secure the opportunity for APAC developers to have wider access to build with high performance. Companies like Open Government Products, Bendigo&Adelaide, Cathay Pacific, Dongwha, and Kasikorn will benefit from closer availability zones.
We’re confident our developers around the world will appreciate this capability as they build tools to improve citizens’ lives and better serve their local users.
Temenos Banking Cloud Scales to Record High Transactions with MongoDB Atlas and Microsoft Azure
Banking used to be a somewhat staid, hyper-conservative industry, seemingly evolving over eons. But the emergence of Fintech and pure digital players in the market paired with alternatives in technology is transforming the industry. The combination of MACH , BIAN and composable designs enables true innovation and collaboration within the banking sector, and the introduction of cloud services makes these approaches even easier to implement. Just ask Temenos, the world's largest financial services application provider, providing banking for more than 1.2 billion people . Temenos is leading the way in banking software innovation and offers a seamless experience for their client community in over 150 countries. Temenos embraces a cloud-first, microservices-based infrastructure built with MongoDB, giving customers flexibility, while also delivering significant performance improvements. Financial institutions can embed Temenos components, like Pay-as-you-go, which delivers new functionality to their existing on-premises environments, on their own cloud deployments or through a full banking as a service experience with Temenos Transact powered by MongoDB on various cloud platforms. This new MongoDB-based infrastructure enables Temenos to rapidly innovate on its customers' behalf, while improving security, performance, and scalability. Fintech, payments and core banking Temenos and MongoDB joined forces in 2019 to investigate the path toward data in a componentized world. Over the past few years, our teams have collaborated on a number of new, innovative component services to enhance the Temenos product family, and several banking clients are now using those components in production. However, the approach we've taken allows banks to upgrade on their own terms. By putting components “in front” of the Temenos Transact platform , banks can start using a componentization solution without disrupting their ability to serve existing customer requirements. From May 2023 onwards, banks will have the capability to deploy Temenos Infinity microservices as well as the core banking Temenos Transact exclusively on the developer data platform from MongoDB and derive even more value. Making the composable approach even more valuable, Temenos implemented their new data backend firmly based on JSON and the document model . MongoDB allows fully transparent access to data and the exploitation of additional features of the developer data platform. These features include Atlas Search , application-driven analytics , and AI through workload isolation. Customers also benefit from the geographic distribution of data based solely on the customer requirements, be it in a single country driven by sovereignty requirements or distributed across continents to ensure always-on and best possible data access and speed for trading. Improved performance and scale In contrast to the retail-centric benchmark last year , the approach this time was to test broader functionality and include more diverse business areas – all while increasing the transaction volume by 50%. The benchmark scenario simulated a client with 50 million retail customers, 100 million accounts and a Banking-as-a-Service (BaaS) offering for 10 brands and 50 million embedded finance customers on a single cloud instance. In the test, Temenos Banking Cloud processed 200 million embedded finance loans and 100 million retail accounts at a record-breaking 150,080 transactions per second. In doing so, Temenos proved its robust and scalable platform can support banks’ business models for growth through BaaS or distributing their products themselves. The benchmark included not just core transaction processing, but a composed solution combining payments, financial crime mitigation (FCM), a data hub, and digital channels. "No other banking technology vendor comes close to the performance and scalability of Temenos Banking Cloud. We consistently invest more in cloud technologies and have more banks live with core banking in the cloud than any of our peers. With global non-cash transaction volumes skyrocketing in response to fast-emerging trends like BaaS, banks need a platform that allows them to elastically scale based on business demand, provide composable capabilities on-demand at a low cost, while reducing their environmental impact. This benchmark with Microsoft and MongoDB proves the capability of Temenos’ platform to power the world’s biggest banks and their BaaS offerings with hundreds of millions of customers, efficiently and sustainably in the cloud." Tony Coleman, Chief Technology Officer, Temenos This solution landscape reflects an environment where everyone on the planet runs two banking transactions a day on a single bank. This throughput should cater to any Tier 1 banking deployment, in size and performance, and cover any future growth plans that they have. Below are the transaction details that comprise the actual benchmark mix. As mentioned above it is a broad mix of different functionalities behaving like a retail bank and a fintech institute, which provides multiple product brands, e.g. cards for different retails. Besides the sheer performance of the benchmark, the ESG footprint of the overall landscape shrunk again versus last year’s configuration as the MongoDB Atlas environment was the sole database and no secondary systems were required. Temenos Transact optimized with MongoDB The JSON advantage Temenos made significant engineering efforts to decapsulate the data layer, which was previously stored as PIC, and make JSON formatted data available to their user community. MongoDB was designed from its inception to be a database focused on delivering a great development experience. JSON’s ubiquity made it the obvious choice for representing data structures in MongoDB’s document data model. Below you can see how Temenos Transact stores data vs Oracle or MSSQL vs MongoDB. Temenos and MongoDB have an aligned data store – Temenos Transact application code operates on documents (JSON) and MongoDB stores documents in JSON in one place, making it the perfect partnership. MongoDB enables the user community through its concept of additional nodes in the replica set to align further secondary applications integrated into the same database without interrupting and disturbing the transactional workload of Temenos Transact. The regular occurring challenge with legacy relational database management systems (RDBMS) where secondary applications suddenly have unexpected consequences to the primary application is a problem of the past with MongoDB. Workload Isolation with MongoDB MongoDB Atlas will operate in most cases in three availability zones, where two zones are located in the same region for pure availability and a single node is located in a remote region for disaster recovery. This environment provides the often required RPO/RTO “0” while delivering unprecedented performance. Two nodes in each of the first availability zones provision the transactional replica set and ensure the consistency and operation of the Temenos Transact application. In each availability zone, a third isolated workload node is co-located with the same data set as the other two nodes but is excluded from the transactional processing. These isolated workload nodes provide capacity for additional functionalities. In the example above, one node provides access to the MongoDB Atlas Federation and a second node provides the interface for MongoDB Atlas Search. As the nodes store data in near real-time – replication is measured in sub milliseconds as they are in the same availability zone – this allows exciting new capabilities like real-time large language model (LLM), e.g. ChatGPT, or machine learning connecting to a Databricks lake house. The design is discussed in more detail in this article . The below diagram shows a typical configuration for such a cluster setup in the European market for Microsoft Azure: one availability zone in Zurich, one availability zone in Geneva, and an additional node out of both in Ireland. Additionally, we configured isolated workloads in Zurich and Geneva. MongoDB Atlas allows the creation of such a cluster within seconds, configured to the specific requirements of the solution deployed. Typical configuration for a cluster setup for the European market for Microsoft Azure Should the need arise, MongoDB can have up to 50 nodes in a single replica set so for each additional isolated workload, one or more nodes can be made available when and where needed. Even at locations beyond the initial three chosen! For this benchmark the use of a MongoDB Atlas cluster M600 was utilized which was oversized based on the CPU utilization of 20-60% depending on the node type. Looking backward a smaller MongoDB Atlas M200 would have been easily sufficient. Nonetheless MongoDB Atlas delivered the needed database performance with one third of the resources of last year's result, but delivering 50% more throughput. Additionally MongoDB Atlas performed two times faster in throughput per transaction (measured in milliseconds). Signed, sealed, and delivered. This benchmark gives clients peace of mind that the combination of core banking with Temenos Transact and MongoDB is ready to support the needs of even the largest global banks. While thousands of banks rely on MongoDB for many parts of their operations ranging from login management and online banking, to risk and treasury management systems, Temenos' adoption of MongoDB is a milestone. It shows that there is significant value in moving from a legacy database technology to MongoDB, allowing faster innovation, eliminating technical debt along the way, and simplifying the landscape for financial institutions, their software vendors, and service providers. PS: We know benchmarks can be deceiving and every scenario in each organization is different. Having been in the benchmark business for a long time, you should never trust just ANY benchmark. In fact, my colleague, MongoDB distinguished engineer John Page, wrote a great blog about how to benchmark a database . Thank you to Ainhoa Múgica and Karolina Ruiz Rogelj for their contributions to this post. If you would like to learn more about how you can use MongoDB to move towards a composable system, architecting for real-time adaptability, scalability, and resilience, take a look at the below resources: Componentized core banking built upon MongoDB Tony Coleman, CTO at Temenos and Boris Bialek, Global Head, Industry Solutions at MongoDB discuss the partnership at MongoDB World 2022 Remodel your core banking systems with MongoDB
MongoDB Doubles Down on Aotearoa as Part of Continued APAC Expansion
MongoDB is expanding its business in New Zealand to help Kiwi organisations build modern applications and take advantage of the AI opportunity that exists today. With hundreds of customers already in Aotearoa, including Pathfinder, Rapido, and Tourism Holdings, we're continuing to hire and invest to continue to grow our community in the country. Powering the next generation of modern applications Interest and excitement in AI, and particularly generative AI, has exploded. With a proud history of Innovation, it's not a surprise that many New Zealand companies are early adopters of this incredible technology. In fact, an AI Forum report has revealed that AI has the potential to increase New Zealand's GDP by as much as $54 billion by 2035. No matter what you think of the veracity of those bold predictions, one thing is sure: Almost every company is trying to figure out how to take advantage of data and software, to help them build better products, more efficiently and more quickly. Jake McInteer speaking at MongoDB.local Auckland As organisations transform into digital-first businesses, they’re faced with a growing list of application and data requirements. Modern applications are complex – they need to handle transactional workloads, app-driven analytics, full-text search, AI-enhanced experiences, stream data processing, and more. Companies are being asked to do this all while reducing data infrastructure sprawl, complexity and often also cut costs. What we are seeing globally is our developer data platform solves this challenge and complexity since it integrates all of the data services organisations need to build modern applications in a unified developer experience. Additionally, we also allow our customers to easily run anywhere in the world with over 110+ locations making us uniquely placed to enable Kiwi companies to adapt to a multicloud future. We also have strong local partnerships with all three cloud hyperscalers, all of which plan to open new cloud regions in New Zealand in the coming years. With the support of our cloud partners, in New Zealand we've already seen great adoption of MongoDB Atlas, including the largest established enterprises, through to cutting-edge startups. Here are a couple of examples. Pathfinder: Protecting vulnerable children Pathfinder , headquartered in Auckland, is a global leader in software development specialising in protecting vulnerable children. The company's mission centres on empowering law enforcement agencies with state-of-the-art technology, meticulously designed to combat the reprehensible crime of child exploitation. "We are committed to delivering investigators the most advanced tools. We cannot accept delays in removing a child from harm due to investigations being overwhelmed by large amounts of disparate data. In situations where every minute impacts a child's well-being, these tools must enable investigators to swiftly navigate data challenges, and rapidly apprehend perpetrators" said Bree Atkinson, CEO of Pathfinder Labs. Pathfinder’s Paradigm service is being built on MongoDB Atlas, running on AWS, and takes advantage of the wider developer data platform features in order to enable the next generation of data-driven investigative capabilities. By using MongoDB Atlas Vector Search , a native part of the MongoDB Atlas platform, the Pathfinder team are also able to match images and details within images (such as people and objects), classify documents and text, and build better search experiences for their users via semantic search. This enables Paradigm to efficiently aid law enforcement in identifying victims and apprehending offenders. Bree Atkinson, CEO of Pathfinder Labs, and Peter Pilly, DevOps Architect at Pathfinder Labs, with the MongoDB team in Auckland at the recent .local event "MongoDB Atlas allows our team to focus on our strengths: developing outstanding technology. It works with us not against us, enhancing integration which enables us to build better user experiences," said Peter Pilley, DevOps Architect at Pathfinder Labs. "Take MongoDB Atlas Vector Search, for example. Before MongoDB, we would have needed to incorporate multiple tools to achieve that functionality. Now we can handle it all from a single platform removing complexity and architecture that wasn't needed. With MongoDB Atlas, we're able to make data-driven decisions swiftly, boosting our productivity and decision-making speed." Peter's team at Pathfinder also uses MongoDB's performance advisor. They say it's like having an extra team member who suggests the best indexes for accessing their data, which is critical in an industry where getting to a specific piece of data could make all the difference. Rapido: Optimising B2B revenue and distribution Rapido has been utilising MongoDB Atlas for over five years. The team was originally part of MongoDB for Startups , a programme that offers startups free credits and technical advice to help them build faster and scale further. Their eagerness to adopt new technologies has enabled them to effectively harness MongoDB Atlas's evolving features. Working with the Accredo ERP system, Rapido has harnessed MongoDB Atlas to innovate in business-to-business (B2B) transactions. Using features like MongoDB Atlas Vector Search, the ' moreLikeThis ' operator, and MongoDB App Services, they've transformed business interactions, offering precise product recommendations and improved real-time visibility via change streams. Rapido's platform, which has processed orders collectively worth more than $100m to date, is essential for many wholesale businesses in New Zealand. Adam Holt, CEO of Rapido, summarises their experience: "Our journey with MongoDB Atlas has been transformative. By building on a cohesive developer data platform, we don't need to bolt-on and learn special technologies for every requirement. Continuously integrating new features keeps our platform advanced in the fast-paced B2B market. It's about leveraging technology to innovate and deliver better solutions to our clients." MongoDB expands in Aotearoa The increased demand from Kiwi organisations who are looking to innovate faster and take advantage of cutting-edge technologies, like AI, means MongoDB is now doubling down on its New Zealand footprint. Earlier this month, MongoDB established its local operations in Aotearoa, New Zealand. Jake McInteer , a native Kiwi, has officially transferred from MongoDB’s Australia business to lead the organisation in New Zealand. MongoDB already has a large, engaged community, more than 200 customers, and an extensive partner network. CEO of Lumin Max Ferguson presents at the Christchurch MongoDB user group We are incredibly excited about the opportunity to invest in and contribute to the Kiwi tech ecosystem, both to support local companies and help kiwi startups like Lumin and Marsello as well as established companies like Tourism Holdings , Figured , and Foster Moore . To support our growth, we have roles open on our Sales and Solutions Architecture team. If you are based in NZ and interested in joining our incredible team, working in our hybrid environment, please check out and apply for the roles here: Enterprise Account Executive, Acquisition Senior Solutions Architect Additionally, read here about the massive opportunity at MongoDB in APAC from our SVP Simon Eid.