Big Data Analytics Solutions with MongoDB
MongoDB stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure can be changed over time. The document model maps to the objects in your application code, making data easy to work with Ad hoc queries, indexing, and real time aggregation provide powerful ways to access and analyze your data MongoDB is a distributed database at its core, so high availability, horizontal scaling, and geographic distribution are built in and easy to use MongoDB is free and open-source, published under the GNU Affero General Public License.
MongoDB is the database for modern applications
- Leverage data and technology to maximize competitive advantage
- Reduce risk for mission-critical deployments
- Accelerate time-to-value
- Dramatically lower total cost of ownership
MongoDB is to build applications that were never possible with traditional relational databases. Below is the best core reason to see how.
Iterative & Fast Development
A flexible data model coupled with dynamic schema and idiomatic drivers make it fast for developers to build and evolve applications. Scope creep and changing business requirements no longer stand between developer and successful project delivery.
Flexible Data Model
MongoDB’s document data model makes it easy to store and data of any structure, without giving up sophisticated validation rules, data access and rich indexing functionality. Schema can be modified dynamically without downtime. It takes less time to prepping data for the database, and more time putting data to work.
MongoDB can be scaled within and across geographically distributed data centers, providing new levels of availability and scalability. When the deployment grow in terms of data volume and throughput, MongoDB scales easily with no downtime, and without changing your application. And as your availability and recovery goals evolve, MongoDB lets you adapt flexibly, across data centers, with tunable consistency.
Integrated Feature Set
Analytics and data visualization, text search, graph processing, geospatial, in-memory performance and global replication allow you to deliver a wide variety of real-time applications on one technology, reliably and securely. RDBMS systems require additional, complex technologies demanding separate integration overhead and expense to do this well.
MongoDB runs on commodity hardware, dramatically lowering costs and applications can be one tenth the cost to deliver compared to using a relational database. Application development is more productive with the use of MongoDB. Ultimately, MongoDB offers affordable annual subscriptions