Here’s another week’s worth of news from the MongoDB community.
Mike Friedman: Floating Points-Perl and MongoDB
MongoLab: Dive Deep Into Connection Pooling
InfoWorld: 9 Trends for 2014 and Beyond
(VIDEO) TechCrunch: Dwight Merriman Featured on Founder Stories
Build a Cloud: FluentD Recipe for CloudStack
TechCrunch: BitNami Launches MongoDB Stack
Upcoming Webinar: Relational Databases to MongoDB Migration - Considerations and Best Practices
As data volume and user loads continue to grow exponentially, new rich data structures and agile development methods are encouraging many organizations to move away from relational databases for their evolving applications. In a webinar on November 7, Mat Keep, Principle Product Marketing Manager, will present considerations project teams must make as they plan their migration to MongoDB. Organizations such as Cisco, Craigslist, Foursquare and Shutterfly have all successfully migrated existing apps from relational databases to MongoDB. The considerations and best practices from projects such as these will also be presented. These include: Schema Design Data Integrity Query Model & Data Analysis Data Migration Operational Considerations After this webinar, attendees will have a clear overview of what steps to take to ensure a successful migration. Register here and download the accompanying Migration Guide .
Considering NoSQL? Let's Break Down Your Options
Non-relational alternatives to relational databases — usually referred to as NoSQL databases — have been rapidly gaining popularity over the past decade. In 2013, MongoDB published one of our most popular white papers, “Top 5 Considerations When Evaluating NoSQL Databases.” We have since updated that paper as the technology has evolved. MongoDB is now offering a major update, which adds two new issues organizations should include in their thinking: how a database handles data generated at the edge by mobile devices and how a database fits into a broader data platform that includes search and analytics. If you’re testing the waters of NoSQL databases, then you’re probably familiar with how they’re different from traditional relational databases. The list of things you already know about NoSQL probably looks something like this: They use a different data model and query language. They have dynamic schemas. They scale horizontally. Beyond those common features, there are significant differences among NoSQL databases. The seven areas of significant differences among your options are: Data model (document, graph, key-value, etc.) Query model Consistency and transactional model APIs Mobile data Data platform Commercial support, community strength, and lock-in From MongoDB’s point of view, the most important consideration is the data model. We popularized the document model , which supports a superset of all data models, making it useful for a wide variety of applications. Key features include the ability to index and query in any field, and the natural mapping of document data structures to objects in modern programming languages. Recent shifts in how modern applications are developed and deployed — and in the experiences they offer customers — highlight the two new considerations. Mobile use cases: Mobile applications introduce the added challenge of not always being connected to the network. Developers need a solution for keeping all their customers’ apps in sync with the back-end database, no matter where they are in the world and what kind of network connection they have. The solution also needs to scale easily and quickly as more users download an app, and support the cutting edge of mobile development technologies as they evolve. Data platform: MongoDB’s application data platform provides developers a unified interface to serve transactional and operational applications alongside search, real-time, and data lake application needs. It eliminates the overhead and friction of developers having to stitch together multiple discrete technologies into a complex architecture, each creating its own duplicated data silo — connected by fragile ETL pipelines — and accessed, secured, governed, and operationalized by different APIs and tools. For a deep dive into all the differences among NoSQL databases, download our white paper, “ Top 7 Considerations When Evaluating NoSQL Databases .”