4 best open source databases you should consider using for your next project
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Every database is suitable for certain projects and requirements but there is one question you should ask yourself: Will this database help me navigate smoothly through a project? If the answer is “no”, maybe it’s time to reconsider your choice. In this article Darshan Patel, a lead SEO analyst at Nimblechapps, explains why MongoDB, Couchbase, OrientDB and Cassandra are among the best open source databases.
Some new NoSQL databases have successfully given developers a boost with respect to aspects such as versatility, scalability, ease of documentation, speed and performance. With these elements in mind, we picked four great open source databases for your next project.
MongoDB is a document-oriented NoSQL database perfect for storing website data, content management and for caching. There is a list of reasons why this database is so popular:
- It is highly flexible and scalable. It is also highly scalable as per the growth of data.
- MongoDB is agile and performance-driven. Aspects like high availability across WANs and LANs, full index support, easy replication, horizontal scaling, document based rich queries further boost its performance.
- MongoDB is basically made to cater to a variety of applications.
- MongoDB allows users to work easily with diverse data sets thanks to the flexible data model.
- Very low learning curve.
- MongoDB can handle complex queries, but it is not prepared to handle workloads with reporting style queries.
- Simplicity alone makes this database great for those who want to start a new project.
It took time before Couchbase became a complete database, but now that it’s here, it might end up outshining MongoDB. Let’s have a look at its benefits:
- If you want a highly scalable operational storage of data, Couchbase is a good choice since you can integrate Hadoop.
- Couchbase Server is a document-oriented, distributed, open source, NoSQL database which ensures fast-paced queries and a separate query engine for executing queries similar to SQL.
- It is great for mobile and IoT environments since it is equipped to allow native on-device and server side sync.
- For scalable interactive apps, Couchbase Server delivers low-latency data management.
- With Couchbase you have highly flexible data model and very dynamic schemas
- It comes with a very powerful query language.
- It is known for exceptionally low latency.
- The architecture of the database itself ensures that the workloads are distributed evenly over the cluster nodes.
- Replication feature is built-in and starts automatically.
- Couchbase is a good choice if simple management is you goal.
- All kinds of operations can be conducted while the system remains online.
Speed and flexibility are not so common among database management service products, but this is why OrientDB was born. It is unique in the sense that it offers the best of both worlds: document database and graph database.
- It is the first of its kind (open source, multi-model NoSQL database) to uniquely combine the benefits of graphs and the documentation flexibility.
- It can also support relationships. This means OrientDB works well with Big Data.
- It offers unparalleled flexibility, which means that you do not need to deploy multiple products.
- It offers zero configuration facility and supports a Multi-Master architecture
- It offers infallible reliability.
- OrientDB is ideal for the Cloud to share over hundreds of servers.
- It is easy to learn, easy to use and easy to install. OrientDB is written fully in Java
Cassandra is basically an Apache Software Foundation project. It is particularly known for highly decentralized data storage with a high level of fault tolerance and instances of no failure. Cassandra is ideal for apps that cannot afford to lose data.
- Simplicity is Cassandra’s best selling point. It is known for both the development simplicity and operational simplicity.
- Cassandra is particularly known for its ease of management while scaling up. It comes with support from several data centers.
- Cassandra offers unmatched ease of scaling
- Another immense benefit of Cassandra is the predictable query performance.
- Cassandra is very simple
- One can easily learn the core of Cassandra in not more than three or four hours.
All the databases mentioned above have a straightforward approach and offer the ideal amount of simplicity. Pace, performance, reliability, flexibility, and high ease of use are just some of the reasons why any of these four examples is a great choice.