ALL RIGHTS RESERVED. Founder & CTO. You may also have a look at the following articles MongoDB vs Cassandra to learn more –, MongoDB Training Program (4 Courses, 2 Projects). Cassandra is implemented as a wide column store (you can loosely think of it as a key -> key -> value store) and DynamoDB is a pure key value store. by | Oct 10, 2020 | Uncategorized | 0 comments. Amazon DynamoDB - Fully managed NoSQL database service. Open source NoSQL databases that are often considered viable DynamoDB alternatives are MongoDB and Apache Cassandra. Cassandra vs DynamoDB. Cassandra has a Query language called CQL. This model is very “object-oriented” and can easily represent any object structure in your domain. Updated on: Mar 19, 2020. Both MongoDB vs Cassandra Performance the databases have their greater advantages depending on the requirements and the amount of data about to be handled in the application decides the choice to be made. It was initially developed at Facebook for searching the messages in Inbox and was made open source later by Facebook. The table involves a collection of items, and the individual item is an assembly of attributes. Mongo DB works in the form of replicating all the instances in the entire server which is not done for single database level whereas Apache Cassandra has replication factor that defines the number of copies of data across different machines to receive multiple copies of data to maintain fault tolerance and high availability. Mongo DB was released in 2009 whereas Apache Cassandra was initially released in February 2008. Amazon DynamoDB - Fully managed NoSQL database service. MongoDB supports a rich and expressive object model. It is a drop-in replacement for Apache Cassandra and Redis given its protocol-level compatibility with the languages spoken by these databases (PostgreSQL compatibility is currently in beta). It supports cross-platform and is a document-oriented database. For several use cases, Apache Cassandra can allow a significant cost saving over DynamoDB, especially in case of workloads which are write-heavy. Who Uses These Databases? For fast growing geo-distributed applications such as mobile, web, gaming, ad tech, and IoT, YugaByte DB was built ground up to satisfy the primary development and operational requirements. MongoDB supports a document data model, is good for a microservices oriented design and works well in a CI/CD pipeline. DynamoDB vs MongoDB vs Cassandra for Fast Growing Geo-Distributed Apps. Mongo DB supports multiple cross-platform operating systems such as Linux, Solaris, Windows, BSD, OS X, etc. Apache Cassandra was developed by Apache Software Foundation which was initially released in the year 2008. Evan Klein. Mongo DB architecture is designed in such a way that it balances the data automatically using its inbuilt feature in a shared cluster when the data grows as per requirement whereas Apache Cassandra is wide column based storage architecture. Cassandra is an open-source NoSQL storage solution widely regarded as an alternative to DynamoDB. For example, it supports only one numeric type and does not support dates. So, now we know what NoSQL is, and what both AWS DynamoDB and MongoDB are, let’s take a look at some of the key differences between these two NoSQL database offerings. Cassandra, on the other hand, offers a fairly traditional table structure with rows and columns. DynamoDB’s advantages are: easy start; absence of the database management burden; sufficient flexibility, availability and scalability; in-built metrics for monitoring; encryption of data at rest. Database Location. Apache Cassandra is an open-source and freely distributed No-SQL database management system developed and designed to handle large-scale data across distributed commodity servers. Seven Steps to Building a Data-Centric Organization. This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. It supports different operating systems like Windows, Linux, Free BSD, Linux, OS X, Solaris, etc. Amazon DynamoDB: Cassandra: MongoDB; Specific characteristics: Apache Cassandra is the leading NoSQL, distributed database management system, well... » more: MongoDB is the leading modern, general purpose data platform, designed to unleash... » more; Competitive advantages: No single point of failure ensures 100% availability . MongoDB vs Cassandra is another frequently compared NoSQL database. In this post, we look beyond Amazon’s marketing claims to explore how well DynamoDB satisfies the core technical requirements of fast growing geo-distributed apps with low latency reads, a common use case found in today’s enterprises. Both Cassandra and DynamoDB has variety of tangible differences when it comes to Data structure. Key differences between MongoDB and Cassandra. Unbounded data growth refers to the specific case where it is not possible to limit the data generated. However, the mere technical details of the two databases shouldn’t b… MongoDB can be hosted anywhere – any public or private cloud, or on premises datacenter. As a Consistent and Partition-tolerant (CP) database with native JSONB document data type, high performance secondary indexes, cloud native operational ease and ability to handle high data density, it serves as an excellent alternative to DynamoDB, MongoDB and Apache Cassandra. On the other hand, DynamoDB’s cost structure involves a range of variables, from the network, to read and write throughput and storage. If every component of the system must be in Java.. ("No one gets fired for choosing Apache's stuff.") Apache Cassandra is an open-source and freely distributed No-SQL database management system developed and designed to handle large-scale data across distributed commodity servers. If you're already using the AWS stack and you need a NoSQL database, then DynamoDB might be right for you. Also, DynamoDB employs primary keys in exclusively identifying the individual item in a table. Users access these apps from multiple geographic regions. The key points highlighted above are intended to help you make better decisions about these database systems. Database Location. Seven Steps to Building a Data-Centric Organization. Apache Cassandra can handle data densities well, is good for a microservices oriented design and works well in a CI/CD pipeline. Examples of applications highlighted above are: These are arguably the most popular use cases for which developers attempt to make DynamoDB work. However, we know one thing for sure: according to the CAP theorem, both databases are targeted at availability and partition tolerance. Architectures in comparison: Given the non-exhaustive info about DynamoDB’s ‘insides,’ we can’t really compare the two architectures. MongoDB was licensed under Apache License. Mongo DB supports Java, Perl, PHP, node.js, C++, C#, .NET, Python, etc. Apache Cassandra is having elastic scalability, fast linear performance, easily distributed architecture, faster queries and transaction support, faster read and write capabilities. whereas Apache Cassandra supports Linux, OS X, Windows, BSD Operating Systems. Mongo DB has various licensing versions too. These requirements can be categorized by different stakeholders within an organization: app development, cloud operations and business owners. Karthik Ranganathan . While the auto-elect process happens automatically, it can take 10 to 40 seconds for it to occur. Cassandra vs MongoDB; Redis vs MongoDB; CouchDB vs MongoDB; In this post, we'll see how Amazon's DynamoDB compares to MongoDB. MongoDB was licensed under Apache License. It first appeared and was released in the year 2009. Understanding the performance behavior of a NoSQL database like Apache Cassandra ™ under various conditions is critical. This leads to 3x development agility than a real-world DynamoDB deployment. 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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. Cassandra is implemented as a wide column store (you can loosely think of it as a key -> key -> value store) and DynamoDB is a pure key value store. For this post, we use the DynamoDB home page to review some of the basics. Users expect the web and mobile UIs of these apps to load extremely fast. Follow. YugaByte DB is yet another emerging alternative. "High scalability" is the primary reason why developers choose Google Cloud Datastore. DynamoDB is a key-value store with added support for JSON to provide document-like data structures that better match with objects in application code. Apps with above characteristics impose multiple mandatory requirements on the database layer. 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