When comparing MongoDB vs Cassandra, the Slant community recommends MongoDB for most people.In the question“What are the best databases for building social network like apps?”MongoDB is ranked 8th while Cassandra is ranked 10th. Cassandra is a distributed database system designed to handle large amount of data and known for its high scalability and high performance. Figure 1 MongoDB vs. Cassandra … Both are schema-less and promote a flexible data model meaning that you can add entities and attributes on the go. The most important reason people chose MongoDB is: And when it comes to distributed, both Cassandra and MongoDB Cassandra vs MongoDB: Similarities When making a comparison between two database systems, it is usually inferred there are shared similarities as well. Cassandra and MongoDB both are types of NoSQL databases. HBase, MongoDB, Cassandra. Both solutions store data for you but they do it very different ways. Writing scalability in Cassandra is very high and efficient. Rows are organized into tables with a required primary key.. MongoDB - The database for giant ideas. 2. Cassandra vs MongoDB. The purpose of designing HBase is to get random access to a huge amount of structured data quickly. Although they do exist, in regards to Cassandra and MongoDB, these similarities are limited. MongoDB is written in C++, Go, JavaScript, Python languages. Cassandra gives a consistent performance as compared to MongoDB and has a strong H-base. Cassandra vs. MongoDB Introduction. Cassandra vs MongoDB vs HBase – Ravi Nov 11 '14 at 19:21 1 >Lots of reads in every query, less regular writes => Look for CQRS (separate your reads from your writes probably without event sourcing but check whether you can update your read model async .. sync may work too .. it depends on your use-cases) – bodrin Oct 14 '15 at 14:46 Both technologies play a vital role in their fields, with their similarities between MongoDB and Cassandra showing their common features and differences show, uniqueness of these technologies. Developed by Apache Software foundation and released on July 2008. What is HBase. This categorization of the databases is not entirely correct. MongoDB vs. Cassandra: Key differences. It is on top of the Hadoop file system and provides read and write access. Cassandra, though, also runs on Berkeley Software Distribution-based Oses. HBase, built on top of the Hadoop file system, is a distributed column-oriented database file system. Developed by MongoDB Inc. and initially released on 11 February 2009. In case of writing too much data and feeds, when there is a high volume of reads and writes, then Cassandra comes in use. MongoDB's and Cassandra's respective data availability strategies are perhaps the biggest factors that set them apart. In most other important respects, though, MongoDB and Cassandra are different beasts. Cassandra vs MongoDB in 2020 is an in depth comparison of two of the most popular NoSQL databases that are so similar in functionality yet so different under the hood. Cassandra is written only in Java language. Cassandra - A partitioned row store. While, MongoDB is document oriented database which also provides high scalability, high performance and automatic scaling. Many of us have seen the below diagram. It is an open source project. MongoDB vs. Cassandra: Features. We will compare Apache Cassandra vs. MongoDB to see which one fills your need. 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