MongoDB vs. Cassandra: Features 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. Cassandra supports the distribution design of Amazon Dynamo with the data model of Google's Bigtable. In terms of performance scalability and the features, Apache Cassandra can be considered the best database in the case of large amounts of data to be handled and in terms of query execution speed and optimization. For load, Couchbase, HBase, and MongoDB all had to be configured for non-durable writes to complete in a reasonable amount of time, with Cassandra being the only database performing durable write operations. You can also index the property of any object at any level of the hierarchy – this is strikingly powerful! It also wins in the case of Scalability. If you want to know more about and how to learn Cassandra, check out this Cassandra tutorial. MongoDB was licensed under Apache License. But before we check out the differences between MongoDB and Cassandra, let’s refresh ourselves with the fundamentals. Spelling Out the Differences Between Cassandra vs. MongoDB Now let’s call out the significant differences between the two database management systems. Now let’s call out the significant differences between the two database management systems. Cassandra and MongoDB both are types of NoSQL databases. The similarity between Cassandra Vs MongoDB is, they both are NoSQL Databases. In case of writing too much data and feeds, when there is a high volume of reads and writes, then Cassandra comes in use. There is Apache Cassandra, HBase, Accumulo, MongoDB or the typical relational databases such as MySQL. Apache Cassandra is having elastic scalability, fast linear performance, easily distributed architecture, faster queries and transaction support, faster read and write capabilities. Choosing the right NoSQL Database. This has been a guide to Cassandra vs Redis. Data is everywhere, from your everyday working world to your leisure time, and everything in between. Today we will be looking at two database management systems: Cassandra vs. MongoDB. Its architecture relies on documents and collections instead of rows and tables. Glassdoor.com reports that data engineers can earn an average of USD 102,864 per year. This is the age of mobile devices, wireless networks, and the Internet of Things. It’s highly scalable and ideal for real-time analytics and high-speed logging. We will start by showing the similarities between both. A sound database management system offers the following benefits: Apache Cassandra is an open-source NoSQL database management system known for its high availability and scalability, Cassandra can handle massive amounts of data and provide real-time analysis. Companies like Adobe, BOSH, Cisco, eBay, Facebook, Forbes, Google, SAP, and UPS use MongoDB. Mongo DB can facilitate to add a new field to every document in the entire collection which is adaptable whereas Apache Cassandra has the facility to add columns whenever or wherever wanted apart from the tradition relational based database systems. MongoDB was licensed under Apache License. If secondary indexes and flexible querying by them is a primary requirement for you, MongoDB is a better choice. This has been a guide to the top difference between MongoDB vs Cassandra. MongoDB supports a rich and expressive object model. While they are both open-source, they differ in features and operations in many ways. If you need to pull data from multiple collections using a single query, you’re out of luck, Finally, you better ensure that your indexes are correctly implemented or in the correct order. MongoDB is popular due to its ease of use but Cassandra is popular for its ease of management facility that too in expanded form. Chúng tôi sẽ so sánh Apache Cassandra với MongoDB để xem cái nào đáp ứng nhu cầu của bạn. Apache Cassandra is designed for organizations, across various industries, with large data sets that are constantly changing. Giới thiệu Cassandra vs MongoDB. Mongo DB supports different types of data types along with some binary data and object types whereas Apache Cassandra deals with unstructured data and has a flexible schema to handle data read-write operations. Remove All Products Add Product Share. Initially created by developers from Facebook, Cassandra is now under the ownership of the Apache project and part of its open-source community. 1 - 1000+ Rating: 4.2 / 5 (26) Read All Reviews On the other hand, MongoDB is one of the most popular database management systems in the world with a strong community of MongoDB … DBMS > Cassandra vs. CouchDB vs. MongoDB System Properties Comparison Cassandra vs. CouchDB vs. MongoDB. MongoDB has a single master directing multiple slave nodes. Mongo DB is ranked in top 5 in terms of engine ranking whereas Apache Cassandra scored less in terms of DB engine ranking in terms of popularity and trending. Same is not true for Cassandra. In most other important respects, though, MongoDB and Cassandra are different beasts. MongoDB serves both startups and industry-leading organizations from Fortune 500 companies to government agencies. Mention them in the comments section and we will get back to you. It’s especially useful if your business or organization is subject to rapid growth or requires working with transactional data. Check out the MongoDB Certification Training course. Data is king, and there’s always a demand for professionals who can work with it. Mongo is better for small datasets (if your data is maximum 10 times bigger than your ram, otherwise you have to shard, need more machines and use replica sets). PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc. Cassandra vs. MongoDB. High availability strategy. Mongo DB was released in 2009 whereas Apache Cassandra was initially released in February 2008. If you’re interested in learning more about MongoDB, click on this MongoDB tutorial. Mongo DB is the free and open-source database software that is a NoSQL type database program. (More on this later) Cassandra provides linear write scalability which is not the case with MongoDB. MongoDB was created in 2007 by the DoubleClick design team to work out agility and scalability issues associated with serving DoubleClick’s internet ads. Cassandra uses a near similar element to database tables, whereas, MongoDB stores data, using documents. Cassandra stores data using something very similar to database tables and MongoDB stores data using "documents." You may also look at the following articles to learn more – HBase vs Cassandra – Which One Is Better (Infographics) Java vs Python – Top 9 Comparisons Additionally, brush up on your familiarity with these MongoDB interview questions. MongoDB has its own aggregation framework, though it’s best suited for small to medium-sized data traffic loads, MongoDB supports ad-hoc queries, aggregation, collections, file storage, indexing, load balancing, replication, and transactions; Cassandra offers core components like clusters, commit logs, data centers, memory tables, and Node. Let’s Explore Cassandra vs HBase in detail. It supports different operating systems like Windows, Linux, Free BSD, Linux, OS X, Solaris, etc. whereas Apache Cassandra supports Linux, OS X, Windows, BSD Operating Systems. When considering Cassandra vs. MongoDB, see this list of reasons why Cassandra is a solid database management choice: Naturally, no database management tool is perfect. 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