Legacy Modernization
The move to digital creates unprecedented opportunities for you. The World Economic Forum estimates $100 trillion of economic value is ready to be unlocked over the next decade. But legacy systems and outdated development processes are holding you back.
New digital-native competitors are disrupting established markets and out-innovating the incumbents, unencumbered by legacy processes and technology. Think Amazon and eBay for retail, Airbnb for accommodation, Uber for transportation, WeChat for communications, Expedia for travel, Stripe for payments – the list goes on. The average tenure of companies in the S&P 500 is falling – market research predicts that 50% of today’s S&P-listed companies will be replaced over the next 10 years. Legacy systems are barriers to innovation, and increase your risk of being part of that 50%.
By modernizing with MongoDB, you can build new business functionality 3-5x faster, scale to millions of users wherever they are on the planet, and cut costs by 70% and more. All by unshackling yourself from legacy systems.
Ready to get started?
Find the resources your modernization project needs.
Start with our Application Modernization Guide: prioritize applications modernization using scorecard, get data modeling recommendations, and read the RDBMS migration guide.
To accelerate modernization success, work with tools from Informatica and Hitachi for data cleansing, modeling, preparation, and ingestion into MongoDB.
Find the resources your modernization project needs.
Start with our Application Modernization Guide: prioritize applications modernization using scorecard, get data modeling recommendations, and read the RDBMS migration guide.
To accelerate modernization success, work with tools from Informatica and Hitachi for data cleansing, modeling, preparation, and ingestion into MongoDB.
Challenges
Late to Market
Fragility and Downtime
Untapped Data
New classes of web, mobile, social, IoT, and AI/Machine Learning applications produce data that you just can’t handle with tabular data models of relational databases
High Cost
Missed Opportunities
Making sense of sprawling application portfolios and untangling dependencies between monolithic code bases make it difficult to build new business functionality
Hard to Change
New development processes and technologies can be tough to institutionalize across your engineering teams
A survey of over 1,000 C-level executives and 1,000 developers by Stripe and Evans Poll concluded that the biggest hindrance to developer productivity is maintenance of legacy systems and technical debt, preventing them from moving faster, building new products, and tapping into new and emerging trends
Access to developers is now a larger constraint to growth than access to capital
42% of developer time is spent on maintenance and technical debt
96% of C-level executives rate improving developer productivity as a priority for the business
Solution
Legacy modernization is a combination of people, processes, and technology that collectively transforms your existing application portfolio. It gives you business agility, scale, and the freedom to run anywhere.
Here’s how MongoDB helps you.
People
Advisory consulting
Program governance
Application lifecycle expertise
Process
Inventory and characterize app portfolio
Define project scope and execution
Design, implement, validate, optimize
Platform Technology
Document data model to accelerate developer productivity
Distributed systems design to scale always-on apps
Freedom to run anywhere
App Modernization Factory
Organizations can turn to multiple approaches to enable legacy modernization:
Align behind new IT models and processes, such as Agile and DevOps
Adopt new architectures and platforms by moving to microservices patterns, taking a mobile-first approach, and shifting underlying infrastructure to the cloud
Migrate to modern data platforms that unlock developer productivity
But how do you do this? There is no need to reinvent the wheel. Thousands of organizations are modernizing their application portfolios, and we are helping them on their journey. We work with you to build an Application Modernization Factory (AMF), providing advisory consulting, program governance, and application lifecycle expertise – all cultivated from best practices developed with the world’s largest organizations.
We partner with your teams to accelerate the assessment, prioritization, and redesign of legacy apps, quantifying the economic value of change and providing a roadmap for delivery. We work with you through the modernization efforts of redevelopment, consolidation, and optimization, harnessing patterns and technologies such as agile and DevOps, microservices, cloud computing, and MongoDB best practices.
Why the MongoDB Intelligent Operational Data Platform?
Better management of data is a primary driver of many legacy modernization initiatives. Research from The McKinsey Global Institute concludes data driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times as likely to be profitable as a result.
Existing relational databases – best-of-breed a decade ago – were never designed for the data management demands of today’s digital economy. So how does MongoDB compare to just lifting and shifting your existing database to faster hardware or the cloud?
| Lift and Shift: Relational Databases | Modernized and Transformed: MongoDB | |
|---|---|---|
| Improved application performance | Moderate | High |
| Cost reduction | Moderate | High |
| 3-5x higher developer productivity | No | Yes |
| Resilient and scalable out of the box | No | Yes |
| Handle data of any structure | No | Yes |
| Global data distribution | No | Yes |
| Runs the same everywhere | No | Yes |
| Freedom from platform lock-in | No | Yes |
When you choose MongoDB as your data platform for legacy modernization, you’re investing in the best technology for your apps. Building faster. Scaling further. And with no lock-in.
MongoDB is the best way to work with data
Ease
MongoDB’s document data model is much more natural to developers than the relational tabular model, and you maintain the same ACID data integrity guarantees you are used to
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Speed
Unifying data in rich MongoDB documents means your developers write less code and your users get better performance when accessing data
Flexibility
A flexible data model is essential to accommodate agile development and continuous delivery of new features: adapt your schema as your apps evolve, without disruption
Versatility
Process data in any way your applications require, from simple queries to complex aggregations, analytics, faceted search, geospatial processing, and graph traversals
MongoDB lets you intelligently put data where you need it
Availability
Built-in redundancy and self-healing recovery ensure resilience of your modernized apps, without expensive and complex clustering add-ons
Scalability
Ditch expensive scale-up systems and custom engineering. MongoDB automatically scales out your database to meet growing data volumes and user loads
Workload Isolation
Run operational apps while also serving analytics, machine learning, and BI to unlock critical insights in real time – all on a single data platform
Data Locality
MongoDB gives you the freedom to run anywhere
Portability
Global Coverage
Deploy a MongoDB cluster across the globe – or turn to MongoDB Atlas, our Database as a Service, for coverage in 50+ regions of all the major cloud providers
No Lock-In
Get the benefits of a multi-cloud strategy and avoid vendor lock-in – or if you want, run MongoDB yourself on-prem
Benefits
Move Faster
- Deliver new applications and features 3-5x faster
Expand into global markets, distributing apps and data to where they need to be
Leverage proven best practices to accelerate modernization across your existing application portfolio
Reduce Risk
Tap into the expertise of consultants who have modernized thousands of apps
Deliver resilient data platforms that eliminate downtime and fines
Meet the demands of new regulatory requirements mandating strict controls on data sovereignty
Improve Innovation
Embrace digital business models to generate new revenue streams, without legacy platforms and processes holding you back
Rapidly integrate transformational technologies such as AI, IoT, mobile and social channels, cloud platforms, and blockchains across your app portfolio
Provide digital experiences that are a unique differentiator vs. your competition
Lower Costs
Cut costs by 70% or more by eliminating expensive licensing, audits, MIPS, support contracts, and hardware
Leverage cloud and commodity infrastructure for your application portfolio
Move IT from capex-intensive “build and run yourself” to opex-friendly “consume as a service”
Use Cases
Legacy modernization addresses both updating your existing portfolio and creating new applications. Example use cases include the following.
Single View
Consolidate data from multiple sources into a central repository to create a single view of anything – customers, products, risk, and more
Why MongoDB?
Its flexible data model allows you to ingest and surface data of any structure, while avoiding costly schema migrations when source systems change
Mobile & Online
Serve customers across any channel and any device – web, smartphone, PC, and tablet – optimizing user experience however they engage with you
Why MongoDB?
Store data where you need it, from iOS and Android devices to your backend – all using a single database, enabling you to build the fastest, most reactive apps
Payment Processing
Modernized transactional systems enable you to serve more customers faster at any scale, and at lower cost
Why MongoDB?
Whether creating mobile payment gateways or modernizing eCommerce and trading systems, multi-document ACID transactions give you the strongest levels of data integrity
Real Time Analytics & ML/AI
Speed to insight and action is becoming a critical requirement for many organizations, harnessing the power of AI to make sense of massive data sets in real time
Why MongoDB?
Its rich query language, indexing, and powerful native data visualization enable you to make sense of data. Workload isolation co-locates operational and analytical processes, eliminating ETL
Personalization
Create customized and contextual online experiences in real time by analyzing behavioral and demographic profiles, historical interactions, and preferences
Why MongoDB?
Collect and process data of any structure, analyzing and serving it at low latency to present the right offers, recommendations and experiences to your customers
Catalog & Content Management
Whether managing content or catalogs, you need to serve the right assets to your users across any channel, with a low latency experience
Why MongoDB?
Its flexible data model allows you to store content assets of any type, and with MongoDB’s distributed systems architecture, you can place it physically close to your users, wherever they are
IoT
IoT is the enabler to merging the physical and digital worlds, enabling you to create new business models and realize operational efficiencies never before possible
Why MongoDB?
Its scale-out, distributed architecture and flexible data model enables you to ingest vast streams of rapidly changing sensor data, with rich queries and analytics unlocking insights in real time
To keep pace with demands from the business, Travelers Insurance modernized its development processes with a microservices architecture supported by agile and DevOps methodologies. But the rigidity of its existing Oracle and SQL Server databases imposed blockers to moving at the speed they needed. The solution was MongoDB and its flexible data model. They eliminated the 3-day wait to make any database changes, creating a software development pipeline supporting continuous delivery of new business functionality.
Learn more →
Cisco migrated its ecommerce platform, handling over $40bn of revenue per annum, from a legacy relational database to MongoDB. As a result, customer experience is improved by reducing latency 5x and improving availability by 100x. The migration has driven developer productivity gains, eliminating 25+ business critical backlog features. Developers can build new applications faster, while the company’s e-commerce platform can tap into the business agility enabled by cloud computing.
Learn more →
To keep pace with demands from the business, Travelers Insurance modernized its development processes with a microservices architecture supported by agile and DevOps methodologies. But the rigidity of its existing Oracle and SQL Server databases imposed blockers to moving at the speed they needed. The solution was MongoDB and its flexible data model. They eliminated the 3-day wait to make any database changes, creating a software development pipeline supporting continuous delivery of new business functionality.
Learn more →
Cisco migrated its ecommerce platform, handling over $40bn of revenue per annum, from a legacy relational database to MongoDB. As a result, customer experience is improved by reducing latency 5x and improving availability by 100x. The migration has driven developer productivity gains, eliminating 25+ business critical backlog features. Developers can build new applications faster, while the company’s e-commerce platform can tap into the business agility enabled by cloud computing.
Learn more →
eHarmony drove a 50% increase in subscribers by accelerating compatibility matching between potential partners by 95% after migrating from relational databases, including PostgreSQL. MongoDB’s rich query language and flexible data model allows them to store and query data in any way they want. Using the platform’s distributed architecture, they’ve been able to scale out on commodity hardware to reduce costs and expand into new international markets.
Learn more →
Sega HARDlight, publisher of iconic gaming titles such as Sonic the Hedgehog and Crazy Taxi, faced increased scalability challenges as its games moved to online and mobile platforms. Its solution was to migrate from on-premises data centers and MySQL tabular databases to MongoDB, running as a service in the cloud with agile DevOps processes. The results: building new games faster by using the MongoDB document model, and scaling to millions of users enjoying an always-on gaming experience.
Learn more →
China Eastern Airlines moved its travel search apps from Oracle to MongoDB. This enabled the company’s developers to build an application that was not possible with Oracle, transforming customer experience and driving more business online. The simplicity of the document data model, dynamic schema, idiomatic drivers, and indexing flexibility mean the development teams can now launch new applications faster, and unlock significant cost savings.
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