What database would be the best fit for your project?
In this article, we will give you a clear understanding of what Cassandra and MongoDB are and what they are not. On this Blog channel, we share our experience and insights in the world of tech. Follow us not to miss our future articles.
SQL vs NoSQL
- The SQL category includes relational databases manipulating data with structured query language.
- NoSQL databases resolve existing scaling and accessibility issues, characteristic of traditional relational databases.
Want to know about the differences between Relational and Non-relational databases, find the article in our channel.SQL and NoSQL databases are in no way better than one another, all individual databases differ a lot, even inside each category.
Cassandra vs MongoDB
They are both enormously scalable, high performance databases belonging to the NoSQL family. These two are radically different:
- Cassandra database is designed to manipulate huge data arrays across multiple nodes. In contrast to the relational database organizing data records in rows, Cassandra’s data model is based on columns to provide faster data retrieval.
- MongoDB database stores data in the form of Json-like documents instead of table records used in relational databases. It allows faster data integration. It is interesting to draw a parallel between MongoDB document oriented data model and that of traditional table-oriented SQL databases.
Both Cassandra and MongoDB enjoy popularity among thousands of well-known and highly reputed organizations, like Reddit, Facebook, Netflix for Cassandra and Forbes, Google, Cisco for MongoDB.
Similarities
- They both belong to the NoSQL family.
- They are not acid-compliant.
- They are open-source.
- They are both cross-platform solutions and support a variety of Windows and Linux.
- They support macOS platforms.
Differences
Data Model
- Cassandra: The data model is structured similar to tables with rows and columns
- In MongoDB the data model is unstructured.
Clustering
- Cassandra: There’s no configuration server.
- MongoDB: Mongo Master, Mongo Shard and Mongo config servers participate in data replication under the management of Mongo daemon server.
High-Availability Strategy
- Cassandra: Multiple masternodes in a cluster provide 100% availability even if the leading node goes down.
- MongoDB has a master slave model, it takes 10 to 50 seconds from a slave node to take the master’s role.
Write Speed
- Cassandra: Multiple masternodes accept writes in parallel each so you can increase the write capacity.
- MongoDB: The write capacity is limited since data rights go to a single masternode.
Query Language
- Cassandra query language with Syntax is very similar to SQL
- MongoDB – a query interface based on Json formatting.
Which database is right for your business?
We have done a lot of experimenting with these two databases. Every time we came to the same conclusion, they both are great players if used in the right field. To make your decision easier, we’ve collected the most significant points:
#1 Data Model
If you require a rich data model, MongoDB will be a better choice.
#2 Index Querying
- If most of the querying in your application occurs by the primary key, Cassandra is a good choice.
- If secondary indexes and flexible querying by them is a primary requirement for you, then choose MongoDB.
#3 Availability
If you need 100% uptime guaranteed, Cassandra is better due to its multiple masternode model.
#4 Write Speed
If you need to write huge amounts of data, then choose Cassandra.
#5 Language Support
Cassandra is a better fit if your team already has SQL skills.
#6 Data Aggregation
MongoDB has a built-in data aggregation framework.
#7 Workload
Cassandra prevails in handling right-heavy workloads. In the case of read-heavy loads, the performance of Cassandra and MongoDB are a close match.
We hope that you now have a better understanding of the differences between Cassandra and MongoDB.
This article was prepared by the EZtek team. We provide software development, UI/ UX design and IT consulting services. If you have any questions, contact our team. We promise new articles with the latest technology news and inspiring solutions.
