Evaluating Database Models

When you’re in the design phase of an application, evaluating database models is a critical step in the process. The database model determines the way an application handles data, directly affects the application’s performance and the ability to adapt to changing business requirements. In recent years, new data models have come about as part of the wave of NoSQL databases. These data models were designed to be flexible in order to tackle the large volume and variety of data typically generated by Big Data applications. In contrast, the data models in relational databases are inflexible and ill equipped to accommodate the way applications process data today. When you choose a newer, flexible database model, you benefit from: Being able to change your data model over time to suit your evolving needs Greater efficiency from not having to make time-consuming updates to the existing data in your system Being able to combine data from multiple sources to create a single view of your data MongoDB leads the pack of new database models by offering a document data model that allows for iterative and adaptive data modeling. A flexible schema design lets you incorporate new data into your application without a predefined schema. This allows you to iterate on your application with no interruption or downtime. MongoDB is a database built for today’s always-on, Big Data applications. With MongoDB, you can simplify your design, dynamically modify the database model, and cut down on overall development time. Contact us or download the white paper to learn more about our flexible data model.

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Internet of Things Applications

The future has arrived. Is your database prepared? Technology companies are doing some awe-inspiring things with Internet of Things (IoT) applications. IoT describes technology which connects physical assets and devices together to share information and make life easier and more convenient. IoT devices are processing volumes of data previously unimagined. Bosch, for example, is harnessing data to use in a range of industrial internet of things applications including manufacturing, automotive, retail, and energy. With these sensor-enabled objects, futuristic scenarios have come alive in the ways previously thought impossible. New revenue opportunities abound but only if companies can wrangle that data into something meaningful. Enter MongoDB, the world’s most popular NoSQL database, to help you make sense of sensor data, building internet of things applications never before possible. All this in less time and with less cost than with alternative technologies. The advantages of creating an internet of things application with MongoDB: Document data model. With MongoDB, you can manage and incorporate data in any structure. This allows for you to launch and iterate on your application without having to start from scratch to meet evolving requirements. Inexpensively scale. IoT applications process great volumes of data through sensors so your system will need to scale quickly and cheaply. One of the advantages of MongoDB is the ability to scale out on inexpensive commodity hardware in your data center or in the cloud. Analyze any kind of data with MongoDB. Real-time analysis within the database means you don’t get the time delay you normally would processing data through an expensive data warehouse system. Internet of things applications can spell revolutionary change for your business. Learn more about why IoT is only possible with newer Big Data technology like MongoDB. Download our white paper, Why NoSQL Databases for the Internet of Things: Machina Research, for more insight into the challenges and opportunities for IoT in a rapidly evolving landscape.

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Building a content management system (CMS) that stores and serves content to a variety of applications requires the latest technology and development approaches. For the best user experience, the CMS has to handle a large volume of data along with a great variety of unstructured data all in real-time. Typical relational database technology falls short in this area because this kind of database has difficulty incorporating new content, attributes, or features without negatively impacting performance. To address the requirements of modern content management systems you need to turn to the latest database technology that can handle a large volume of unstructured data. MongoDB, the leading database of a new generation of technology called NoSQL, lets you store and serve up any type of content within a single database. You can build these systems with MongoDB quickly and at much less expense than with decades old relational technology. MongoDB is particularly well-suited to support your CMS efforts because the software offers: A ** flexible data model ** means that you can incorporate any kind of data into your CMS, regardless of the source. This flexible model also lets you make frequent updates to the database without downtime to your application. ** Scalable to millions of users ** as MongoDB has a native horizontal scale out architecture that easily lets you accommodate additional demand as your audience grows. ** Much lower cost ** to complete your CMS project as your teams are more productive and you end up spending much less on commodity hardware to scale the system. By some estimates, it costs only 10% of what it would cost with a relational database to build a CMS on MongoDB. MongoDB unites all your content assets into a single database and makes for an overall better user experience. This helps your enterprise stay competitive as customers today expect a seamless experience from your business. Forbes used MongoDB to build a CMS in just 2 months and a new mobile site in just a month. MongoDB helped the publisher gain more insight into the social sharing of their articles so that they were able to capitalize in real-time on content that was going viral. And there are countless other enterprises who have leveraged MongoDB technology for their CMS: eBay used it to build a media metadata storage for their web properties, Pearson employed MongoDB technology to develop a cloud-based learning management system, and Carfax migrated their vehicle history database into a MongoDB CMS and found that they could service 10x more customers as a result. These are just a few examples of companies who take advantage of the database to build powerful MongoDB CMS. Find out more about how MongoDB can help you develop killer apps that will wow your customers – both internal and external alike. Download our white paper today.

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