MongoDB 2.6 was released in March, 2014 (over 24 months ago). We are now approaching the end of life of this major version, and we will sunset support for MongoDB 2.6 at the end of October, 2016.
We encourage users to upgrade to version 3.0 or 3.2 soon . For customers who still use 2.4, note that upgrading from version 2.4 to 3.0 will require an intermediary upgrade to 2.6. Review the MongoDB downloads page to find the latest stable releases and begin your upgrade.
Information about the features in MongoDB 3.2, in addition to best practices around upgrading your version of MongoDB, can be found in our on-demand webinar.
If you would like hands-on assistance with your upgrade, our professional services team offers a Major Version Upgrade consulting service. Please contact your account executive for pricing, details, and scheduling.
Learn how to build an upgrade plan. Watch our on-demand presentation covering the best practices for upgrading to MongoDB 3.2.
What does the Retailer of the Future Look Like?
Cher Horowitz (You remember her right? From Clueless ?) wakes up in her home on Monday morning to get ready for school. It’s January in Beverly Hills, and it’s gotten a bit chilly, so she rushes to her phone to try on some coats she’s recently liked on Instagram. She opens an app that brings her to a virtual fitting room. In the closet are all the recent items she’s liked on Instagram, with price listings from different retailers. She tries on a number of coats and picks one from Net-a-porter. In a few minutes, a drone comes to her front door with her new coat. She gets in her Escalade and heads to school. This is the future of the digitally oriented consumer, the future of retail, and it is all based on urgency. An urgency to react to data that can drastically improve the customer experience. In the late 90’s and early 2000’s, older retailers were beat by the rise of .com giants like eBay, Zappos and Amazon. This gave something exceptional to the consumer: the power of choice. They could shop anywhere, they could browse anytime, and they could make a decision at any time. Now, retailers like you are embracing technology as a competitive differentiator to keep in touch with new digital consumers and offer them exceptional customer experiences. Here’s how retailers are using the power of data to unleash innovation now and how you can innovate in the future. Welcome to the present and future of data-driven retail. The Retailer of Now Organizations are actively leveraging data to empower their business outcomes, especially in retail. In this landscape Data means a better customer experience and allows for personalization and optimal delivery of your products. Omnichannel View of the Business The number of selling and interaction channels has grown tremendously. Customers can interact with retailer’s products on their phone, laptop or tablet, and, as is often the case, they may browse products after being prompted by a Twitter, Instagram or Facebook post, all before making a purchase on your site. Data-driven retailers deliver great customer experiences across these different channels with accurate product availability so customers can get what they want when they want it. The most sophisticated retailers, like Urban Outfitters with its brands Anthropologie, BHLDN, Free People, Terrain, and Urban Outfitters, make the experience seamless across channels. Personalization Having digital consumers gives you a huge opportunity: for the first time, you can really understand how your users think, allowing you to adapt your products to their needs. In this way being data-driven makes your customer the center of the show. GILT Groupe , known for its online flash-sale business model, allows customers to see their favorite brands when they even log in just by leveraging its user preference service. MongoDB enables Gilt to tailor the homepage layout for millions of users – all at once, and while delivering stable, consistent performance. Invest in data analytics tools to better understand your users and engineer customized experiences for customers and create quality mobile experiences to capture customer engagement across many channels. Supply Chain Management In 2015, consumers spent an estimated $1.7 trillion online . To meet the delivery expectations of these customers, fast order fulfillment is a critical business objective. Many global brands, like Gap , keep a growing number of regional warehouses and fulfillment centers to keep pace with demand and deliver products quickly. They are focused on developing efficiencies that keep shipping costs as low as possible while delivering a great customer experience. You can optimize delivery with technology, beyond just tracking packages. When designing systems for Distribution Centers, you need to engineer processes to balance the constraints of the physical world, such as protecting against mishaps like lost goods and time. For example, these systems need to minimize movements and pick and pack time for associates, optimize for speed and costs of shipping across dozens of shipping partners, and reduce the number of lost goods in the distribution center. How can data help? Hourly inventory updates give logistics management in Distribution Centers the insights to plan and act on inefficiencies as packages are sorted and sent out for delivery. This optimization and up-front information ensure you can focus on delivering a great customer experience along with great products. The Retailer of the Future Virtual Dressing Rooms In the 90's cult classic, Clueless, the protagonist, Cher, has a computer that helps her pick out her outfits. In the same way that Zappos simplified online retail for shoes with free delivery and returns, augmented reality will transform the experience of shopping at home. This luxury of convenience is slowly becoming part of the retail playbook with apps like Styliff and Toshiba’s digital changing booth or Chico’s interactive Tech Tables . In the future, you’ll be able to send a new resort collection directly to your customers via these virtual fitting rooms in snowy January, so they don’t have to leave their house to try on their clothes. The Internet of Subscriptions We’ve all heard the story of the smart refrigerator, a machine so smart, it orders refills for milk when it’s almost out. Retail can look to this model for future revenue generation and customer retention. Amazon’s current model of “ subscribe and save ” is a precursor to the Internet of Subscriptions. The connected home will be in constant communication with your retailer on what you need in stock, whether it be milk, diapers, or sponges. With this model, retailers can retain loyal customers, understand their buying habits and can offer better personalization. Payments Mobile devices today are as powerful as desktop computers in the 90’s, opening a value chain for innovators like Stripe , Square and Poynt to rapidly innovate in the payments industry, one that is ripe for innovation. The future retailer will be attuned to consumer needs, and installing smarter, more secure payment machines in their retail stores, powered by mobile devices. In a similar vein, the future will see an end to the war on cash. Venmo introduced non-card real-time payments and Snapchat launched Snapcash, online chat-based payments powered by Square. McKinsey predicts that by 2018 these real-time payments can create additional revenue of $80 Billion. Using SMS to power payments in developing countries, like India and Nigera, where an estimated 84% of people have cell phones (and less than 24% have smartphones) could be a large revenue stream for brands. Use Data to Serve the Digitally-Oriented Consumer Data will be at the core of customer experience. The new digitally-oriented consumer will expect personalization, information and gratification. These evolving behaviors can pose a challenge for retailers, but they also represent a tremendous opportunity to harness and mobilize data to pull themselves ahead of the competition. Take a deeper dive into the technical challenges of retail organizations today and see how they can be solved with MongoDB, the database for giant ideas. Learn more about the challenges of retail and how MongoDB addresses those challenges in our white paper. Serving the Digitally-Oriented Consumer Thanks to Dror Asaf, Samir Despande, Aleksandar Tolev, Michael Grayson, and Ajeeth Ganapathinageswaran for their helpful insights.
How DataSwitch And MongoDB Atlas Can Help Modernize Your Legacy Workloads
Data modernization is here to stay, and DataSwitch and MongoDB are leading the way forward. Research strongly indicates that the future of the Database Management System (DBMS) market is in the cloud, and the ideal way to shift from an outdated, legacy DBMS to a modern, cloud-friendly data warehouse is through data modernization. There are a few key factors driving this shift. Increasingly, companies need to store and manage unstructured data in a cloud-enabled system, as opposed to a legacy DBMS which is only designed for structured data. Moreover, the amount of data generated by a business is increasing at a rate of 55% to 65% every year and the majority of it is unstructured. A modernized database that can improve data quality and availability provides tremendous benefits in performance, scalability, and cost optimization. It also provides a foundation for improving business value through informed decision-making. Additionally, cloud-enabled databases support greater agility so you can upgrade current applications and build new ones faster to meet customer demand. Gartner predicts that by 2022, 75% of all databases will be on the cloud – either by direct deployment or through data migration and modernization. But research shows that over 40% of migration projects fail. This is due to challenges such as: Inadequate knowledge of legacy applications and their data design Complexity of code and design from different legacy applications Lack of automation tools for transforming from legacy data processing to cloud-friendly data and processes It is essential to harness a strategic approach and choose the right partner for your data modernization journey. We’re here to help you do just that. Why MongoDB? MongoDB is built for modern application developers and for the cloud era. As a general purpose, document-based, distributed database, it facilitates high productivity and can handle huge volumes of data. The document database stores data in JSON-like documents and is built on a scale-out architecture that is optimal for any kind of developer who builds scalable applications through agile methodologies. Ultimately, MongoDB fosters business agility, scalability and innovation. Key MongoDB advantages include: Rich JSON Documents Powerful query language Multi-cloud data distribution Security of sensitive data Quick storage and retrieval of data Capacity for huge volumes of data and traffic Design supports greater developer productivity Extremely reliable for mission-critical workloads Architected for optimal performance and efficiency Key advantages of MongoDB Atlas , MongoDB’s hosted database as a service, include: Multi-cloud data distribution Secure for sensitive data Designed for developer productivity Reliable for mission critical workloads Built for optimal performance Managed for operational efficiency To be clear, JSON documents are the most productive way to work with data as they support nested objects and arrays as values. They also support schemas that are flexible and dynamic. MongoDB’s powerful query language enables sorting and filtering of any field, regardless of how nested it is in a document. Moreover, it provides support for aggregations as well as modern use cases including graph search, geo-based search and text search. Queries are in JSON and are easy to compose. MongoDB provides support for joins in queries. MongoDB supports two types of relationships with the ability to reference and embed. It has all the power of a relational database and much, much more. Companies of all sizes can use MongoDB as it successfully operates on a large and mature platform ecosystem. Developers enjoy a great user experience with the ability to provision MongoDB Atlas clusters and commence coding instantly. A global community of developers and consultants makes it easy to get the help you need, if and when you need it. In addition, MongoDB supports all major languages and provides enterprise-grade support. Why DataSwitch as a partner for MongoDB? Automated schema re-design, data migration & code conversion DataSwitch is a trusted partner for cost-effective, accelerated solutions for digital data transformation, migration and modernization through a modern database platform. Our no-code and low-code solutions along with cloud data expertise and unique, automated schema generation accelerates time to market. We provide end-to-end data, schema and process migration with automated replatforming and refactoring, thereby delivering: 50% faster time to market 60% reduction in total cost of delivery Assured quality with built-in best practices, guidelines and accuracy Data modernization: How “DataSwitch Migrate” helps you migrate from RDBMS to MongoDB DataSwitch Migrate (“DS Migrate”) is a no-code and low-code toolkit that leverages advanced automation to provide intuitive, predictive and self-serviceable schema redesign from a traditional RDBMS model to MongoDB’s Document Model with built-in best practices. Based on data volume, performance, and criticality, DS Migrate automatically recommends the appropriate ETTL (Extract, Transfer, Transform & Load) data migration process. DataSwitch delivers data engineering solutions and transformations in half the timeframe of the existing typical data modernization solutions. Consider these key areas: Schema redesign – construct a new framework for data management. DS Migrate provides automated data migration and transformation based on your redesigned schema, as well as no-touch code conversion from legacy data scripts to MongoDB Atlas APIs. Users can simply drag and drop the schema for redesign and the platform converts it to a document-based JSON structure by applying MongoDB modeling best practices. The platform then automatically migrates data to the new, re-designed JSON structure. It also converts the legacy database script for MongoDB. This automated, user-friendly data migration is faster than anything you’ve ever seen. Here’s a look at how the schema designer works. Refactoring – change the data structure to match the new schema. DS Migrate handles this through auto code generation for migrating the data. This is far beyond a mere lift and shift. DataSwitch takes care of refactoring and replatforming (moving from the legacy platform to MongoDB) automatically. It is a game-changing unique capability to perform all these tasks within a single platform. Security – mask and tokenize data while moving the data from on-premise to the cloud. As the data is moving to a potentially public cloud, you must keep it secure. DataSwitch’s tool has the capability to configure and apply security measures automatically while migrating the data. Data Quality – ensure that data is clean, complete, trustworthy, consistent. DataSwitch allows you to configure your own quality rules and automatically apply them during data migration. In summary: first, the DataSwitch tool automatically extracts the data from an existing database, like Oracle. It then exports the data and stores it locally before zipping and transferring it to the cloud. Next, DataSwitch transforms the data by altering the data structure to match the re-designed schema, and applying data security measures during the transform step. Lastly, DS Migrate loads the data and processes it into MongoDB in its entirety. Process Conversion Process conversion, where scripts and process logic are migrated from legacy DBMS to a modern DBMS, is made easier thanks to a high degree of automation. Minimal coding and manual intervention are required and the journey is accelerated. It involves: DML – Data Manipulation Language CRUD – typical application functionality (Create, Read, Update & Delete) Converting to the equivalent of MongoDB Atlas API Degree of automation DataSwitch provides during Migration Schema Migration Activities DS Automation Capabilities Application Data Usage Analysis 70% 3NF to NoSQL Schema Recommendation 60% Schema Re-Design Self Services 50% Predictive Data Mapping 60% Process Migration Activities DS Automation Capabilities CRUD based SQL conversion (Oracle, MySQL, SQLServer, Teradata, DB2) to MongoDB API 70% Data Migration Activities DS Automation Capabilities Migration Script Creation 90% Historical Data Migration 90% 2 Catch Load 90% DataSwitch Legacy Modernization as a Service (LMaas): Our consulting expertise combined with the DS Migrate tool allows us to harness the power of the cloud for data transformation of RDBMS legacy data systems to MongoDB. Our solution delivers legacy transformation in half the time frame through pay-per-usage. Key strengths include: ● Data Architecture Consulting ● Data Modernization Assessment and Migration Strategy ● Specialized Modernization Services DS Migrate Architecture Diagram Contact us to learn more.