mongoDB

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MongoDB

MongoDB is a cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with schema.

What Can We Do With MongoDB ?

  • Store large volumes of data that often have little to no structure

            Relational databases store structured data like a phonebook. But for growing, unstructured data—for example,              a customer’s preferences, location, past purchases, and Facebook likes—a NoSQL database sets no limits, and              allows you to add different types of data as your needs change. Because MongoDB is flexible and document-                based, you can store these JSON-like binary data points (referred to as BSON) in one place without having to                  define what “types” of data those are in advance.

  • Make the most of cloud computing and storage

            Cloud-based storage is an excellent cost-saving solution, but requires data to be easily spread across multiple              servers to scale up. MongoDB can load a high volume of data and give you lots of flexibility and availability in a              cloud-based environment, with built-in sharding solutions that make it easy to partition and spread out data                    across multiple servers.

  • Develop and release quickly

            If you’re developing within two-week Agile sprints, cranking out quick iterations, or needing to make frequent                  updates to the data structure without a lot of downtime between versions, modifying a relational database will              slow you down. With MongoDB’s dynamic schemas, you can try new things, and fast. Your data doesn’t need                  to be prepped ahead of time, and your team can incorporate anything new, quickly, and at a lower cost.

  • Scale database architecture efficiently and inexpensively

            With MongoDB, it’s easy to spread data out across commodity hardware on-site or in the cloud without                            needing additional software.

Use Cases for MongoDb

  • Customer Analytics

            With all of this data coming from different sources with different schemas, tying it all together at such a                          massive scale is a huge challenge. The flexibility and scalability of MongoDB provides a solution. MongoDB                    allows for the aggregation of this data and building analytical tools in order to create amazing customer                          experiences. MongoDB’s speed allows for dynamic experiences that can evolve based upon the customer                      behavior in real time.

  • Product Catalog

            Product catalogs are not new to the evolving digital experience. What is new is the volume and richness of the              data that feeds the interactions in product catalogs that we use today. MongoDB provides a great tool to store              many different types of objects with different sets of attributes. MongoDB’s dynamic schema capability allows              for product documents to only contain attributes that are relevant to that product. Gone are the days of                            needing every product record to contain every possible attribute. MongoDB users can very quickly and easily                  make changes to their catalogs, providing a better experience for developers and customers.

  • Real Time Data Integration

            Companies have vast amounts of data spread across their organization. Data provides value if it’s aggregated              in one “single view”. Previously, energy and resources were spent on data ingestion, transformation, and                          schema changes in order to obtain a single source of data. MongoDB’s flexibility and query capabilities make it              easy to aggregate this data and create the tools that make organizations more efficient. This aggregation can                be achieved to provide a “single view” of their data in real time. With the addition of change streams in                            MongoDB 3.6, developers can now monitor and take action on specific events quickly.

  • Mobility and Scaling

            With most mobile application development, companies are dealing with varying data structures coming from                multiple sources and potentially highly dynamic growth. The flexibility and scalability of MongoDB provides a                great database solution for dealing with this type of environment. With schemas that can evolve over time,                      mobile application developers don’t have to spend time adjusting the database. Instead, developers can focus               on developing the customer experience.

  • ObjectRocket for MongoDB

            Today, modern businesses are thinking about better ways to store and manage their data, gain better                               customer insights, adapt to changing user expectations, and beat competitors to market with new                                     applications. MongoDB is a great tool that many companies find useful, but managing MongoDB doesn’t fit                     into everyone’s business model. It’s hard to find the right expertise and many companies can’t afford to hire                   the headcount. ObjectRocket for MongoDB can help. No matter where your app is hosted, we can help you get               the most from your data.

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