This is a guest post by Eric Barroca, CEO - Nuxeo.
Digitizing content and processes is a 20- or even 30-year-old story. The first wave of solutions delivered huge efficiency gains for enterprises – from paper, to PDF and checks, to Paypal. Today, companies across industries – from Media to Financial Services to Telecommunications – see new opportunities in a second wave of technology, such as creating new revenue streams and developing new products and services for their customers. But, so many are still managing their content in systems architected in the first wave and which now stand in the way of transformation.
Legacy systems can't support today's digital transformation needs. They lack the enterprise-wide visibility, searchability and control to keep content and the metadata that makes it valuable together. They are staggering under the crush of complexity of content and firehose of information flowing in and out of these systems on a daily basis. And, after implementation, they can’t be easily adapted to today’s ever-more dynamic and unpredictable business needs and opportunities.
To succeed in your business transformation, you need an approach that can unlock the value of assets through a system that can see, search and manage assets and metadata across 100s or even 1,000s of places across your enterprise. You need to multiply the value of your assets by empowering your entire business to easily leverage these critical assets and information. You need to accelerate innovation by leveraging the speed and investment of a cloud services ecosystem. And, you have to assume and plan for evolution and scale as your business responds to new opportunity and growth.
Nuxeo & MongoDB Enterprise Advanced: Unmatched Performance in Content Management
Nuxeo’s integration with MongoDB Enterprise Advanced, as an alternative to a relational database, is first of its kind in the Enterprise Content Management (ECM) space. The Nuxeo Platform for content management and Digital Asset Management (DAM) allows enterprises to discover the full value of their most complex digital assets, and scales to support even the largest content repositories, leveraging MongoDB Enterprise Advanced’s scaling, performance and replication capabilities.
Legacy ECM systems fall short when trying to turn data into valuable assets. Content Management and Digital Asset Management are now data-centric. Digital assets are core to any successful digital transformation. Unfortunately, value is often locked in the data surrounding these assets and many organizations have trouble unlocking this data to enable true transformation. The Nuxeo Platform helps to transform this data into valuable assets and, together with MongoDB Enterprise Advanced, allows enterprises to do it at true enterprise scale.
High performance of the Nuxeo Platform has already been tested and benchmarked to the tune of several billion documents with MongoDB Enterprise Advanced. The latest benchmarks from Nuxeo on an average cloud instance and using complex content objects now show the following results:
- Document Processing: 30,000 doc/sec
- Bulk Import: 5x faster than any relational database implementation
- Overall, a 15x performance increase compared to the fastest relational database implementation
Check out our benchmark results and learn more in this video: Using MongoDB Enterprise Advanced to Build a Fast and Scalable Document Repository
Why MongoDB Enterprise Advanced as a backend storage for Nuxeo apps
Nuxeo chose MongoDB Enterprise Advanced because it enables organizations to deploy cloud-ready applications with unmatched performance and scalability. Used with the Nuxeo Platform, MongoDB Enterprise Advanced provides a database storage option offering high performance, high availability, and exceptional scalability for Enterprise Content Management (ECM) applications.
Nuxeo customers with extremely large content store requirements are able to leverage MongoDB Enterprise Advanced to get features such as replication, zero downtime and scalability. It is also a good combination with Elasticsearch, leveraging Elastic for advanced queries and MongoDB Enterprise Advanced for highly scalable content and asset storage. Nuxeo customers now have access to capabilities such as full-index support, rich querying, auto-sharding, replication and high availability, and much more.
Using the Nuxeo Platform with MongoDB Enterprise Advanced provides the opportunity to build content management applications with big data tools capable of dealing with complex, enterprise-scale data volumes at unmatched speeds.
Nuxeo for Giant ECM Applications
Nuxeo provides a Hyperscale Digital Asset Platform that helps enterprise organizations unlock the full value of their digital assets to create new revenue streams, improve performance, and maximize existing IT investments. Over 200 leading organizations use Nuxeo for digital asset management, document management, knowledge management, and other content-centric business applications.
Nuxeo is headquartered in New York with five additional offices worldwide, and raised $30 million in capital from Goldman Sachs and Kennet Partners in 2016.
More information is available at www.nuxeo.com.
The Modern Application Stack - Part 5: Using ReactJS, ES6 & JSX to Build a UI (the rise of MERN)
MACH Aligned for Retail (Microservices, API-First, Cloud Native SaaS, Headless)
Across the Retail industry, MACH principles and the Mach Alliance are becoming increasingly common. What is MACH and why is it being embraced for Retail? The MACH Alliance is a non-profit organization fostering the adoption of composable architecture principles. It stands for Microservices, API-First, Cloud-Native SaaS and Headless. The MACH Alliance’s Manifesto is to: “Future proof enterprise technology and propel current and future digital experiences" The MACH Alliance and the creation of this set of principles originated in the Retail Industry. Several of the 5 co-founders of the MACH Alliance are technology companies building for retail use cases: for example commercetools is a composable commerce platform for retail (built completely on MongoDB). MongoDB has been a member of the MACH Alliance since 2020, as an “enabler” member, meaning use of our technology can enable the implementation of the MACH principles in application architectures. This is because a data layer built on MongoDB is ideal as the basis for a MACH architecture. Members of our Industry Solutions team sit on the MACH technology, growth and marketing councils, and actively are involved with furthering the adoption of MACH across the Retail Industry What is MACH, why is it important for retail? The retail industry has long been a fast adopter of technology and a forerunner in technology trends. This is because of the competitive nature of the business leading a drive towards innovation- its vital that retails are able to react quickly to new technologies (e.g. NFTs, VR, AI) to capture market share and stay ahead of the competitors. Retailers have realized that to be able to deliver new and value-add experiences to their customers, they have to cut back on operational overhead that leads to increased cost and build standard functionality that can either be bought or re-used. This is where the benefits of MACH comes in- it's all about increasing the ability to deliver innovation quickly while lowering operational costs & risk. Microservices: An approach to building applications in which business functions are broken down into smaller, self-contained components called services. These services function autonomously and are usually developed and deployed independently. This means the failure or outage of one microservice will not affect another and teams can develop in parallel, increasing efficiency. API-First: A style of development where the sharing and use of the data via API (application programming interface) is considered first and foremost in the development process. This means that services are designed to aid the easy sharing of information across the organization and simple interconnectivity of systems. Cloud-Native SaaS: Cloud-native SaaS solutions are vendor-managed applications developed in and for the cloud, and leveraging all the capabilities the cloud has to offer, such as fully managed hosting, built-in security, auto-scaling, cross-regional deployment and automatic updates. These are a good fit for a MACH architecture as adopting them can reduce operational costs and frees up developers for value-add work like new unique customer experiences. Headless: Decoupling the front end from the back-end so that front ends (or “heads”) can be created or iterated on with no dependencies on the back end. The fact that the layers are loosely coupled decreases time to market for new front ends, and encourages the re-use back-end services for multiple purposes. It also de-risks change in the long term as services can function independently. Where does MongoDB come in? MongoDB is an enabler for MACH, meaning that using MongoDB as your data layer helps retailers and retail software companies. achieve MACH compliance. Our data model, architecture and functionality empower IT organizations to build in line with these architecture principles. During a digital transformation, where a retailer is modernizing a monolith into a microservices based architecture, they're looking for a data layer which will enable speed of development & change. MongoDB is the "most wanted" database 4 years running on Stack Overflow's developer survey- this is because our document model maps to the way developers are thinking & coding, and the flexibility allows for iterative change of the data layer. When looking at API based communication, the standard format for APIs is JSON, which again maps to MongoDB's document model. The idea with API-first development is to develop with the API in mind- why not store the data the way you're going to serve it by API. This reduces complexity and increases performance. Cloud Native and SaaS products have become the norm as retailers wish to reduce maintenance and management work. MongoDB Atlas, provides a database-as-a-service, guaranteeing 99.995% uptime, automatic failover and self-healing and allowing DevOps engineers to spin up databases in minutes or by API/ script. Many retail software companies are also built on MongoDB Atlas- for example commercetools, which provides an ecommerce solution as a SaaS product. Headless architectures require a data layer that is able to adapt and change for new workloads. The ability to change the schema at runtime, with no downtime, makes MongoDB's document model ideal for this. Performance and the ability to scale for new "heads" is also important. MongoDB is known as a high performance database and can scale vertically automatically or scale out horizontally seamlessly. So MongoDB becomes a great choice for retailers choosing to adopt a MACH architecture (see figure 1 below). As a general purpose database with high performance, a rich expressive query language and secondary indexing, MongoDB is a really good fit as a data layer as it is capable of handling operational and analytical needs of the application. FIgure 1: Example of a MACH architecture Want to know more? Are you interested in a transition to MACH? Dive into our four part blog series exploring each topic in detail and how MongoDB supports each of these principles: Microservices API-First Cloud-Native SaaS Headless