MongoDB is a massively popular option for databases, sitting in the fifth place overall on DB Engines, and the first in the document store category, as of July 2018. These rankings take into account everything from the number of websites talking about the database to the job offers that require skills involving this technology. While there are a lot of NoSQL options, MongoDB offers many benefits that make it an attractive solution for organizations of all sizes.
An open source database gives you peace of mind and a lot of opportunities for custom development. In a world where data breaches feel like they’re just a matter of when, not if, being able to have full access to the database code is a welcome feature. The active community leads to a lot of third-party support among developers, as well as built-in integration with popular solutions.
Flexible Use Cases
MongoDB’s developers created this database for online transaction processing. However, its architecture fits in well with many use cases. Organizations such as Expedia and The Weather Channel are among the many users of this NoSQL database. Since it’s free and open source, many smaller businesses also find it appealing. Content management, mobile applications and customer data management are a few common use cases leveraging this database type.
Schema-Less Data Structure
Relational databases have rigid schemas that limit flexibility with the data structure. Since MongoDB is a document store database, it doesn’t have strictly defined, consistent schema or joins. Instead, the documents can use the fields and structures that make the most sense for each application. You can experiment with database structures that you wouldn’t be able to achieve in SQL and other relational options.
MongoDB offers a lot of resources to help developers get started using the database. The documentation is thorough and well-written, the installation process is straightforward, and the open-source nature of this database encourages an active community around it. Many users feel that MongoDB is easy to learn compared to other types of databases, which allows you to drive faster adoption and cut down on training time.
Built-in scaling is a must-have feature for many organizations, as you adapt to an ever-changing market. Data sharding in MongoDB supports storing data across several machines to improve the performance of large-scale databases. The two scenarios that it addresses specifically are indexes that don’t fit into memory and write-heavy data. This distributed structure can make a big difference in your application performance.
Datavail specializes in MongoDB and other popular database technologies. We can provide a number of flexible service delivery options to meet its clients business requirements. Datavail helps organizations with the planning, migration, testing and implementation phases of MongoDB projects. The MongoDB experts at this company have eight or more years of IT experience, five years with the LAMP stack and many are MongoDB certified. Whether you need help configuring your MongoDB environment or assistance with routine tasks, Datavail has specialists available.
Read This Next
Interested in learning more about the ways that the MongoDB NoSQL database can benefit your organization?
Download Datavail’s white paper MongoDB: Is It Right For You? to discover additional reasons to adopt this flexible solution for your application development.
Subscribe to Our Blog
Never miss a post! Stay up to date with the latest database, application and analytics tips and news. Delivered in a handy bi-weekly update straight to your inbox. You can unsubscribe at any time.
Most people will encounter this error when their application tries to connect to an Oracle database service, but it can also be raised by one database instance trying to connect to another database service via a database link.
Imagine over 100 logins on the source server, you need to migrate them to the destination server. Wouldn’t it be awesome if we could automate the process?