Every table must have a primary key to uniquely identify each data item, but there are no similar constraints on other non-key attributes. MongoDB runs on multiple cloud platforms, scales horizontally across geographies, and has extensive performance monitoring capabilities. In a few hours, you can have a Slack bot or a GitHub webhook handler. When the complexity of maintaining a highly scalable distributed NoSQL database is taken care of, it enables developers to focus on building applications rather than managing infrastructure. For several use cases, Apache Cassandra can allow a significant cost saving over DynamoDB, especially in case of workloads which are write-heavy. Companies are trying hard to succeed at building large-scale, distributed systems-based scalable databases. While DynamoDB’s pricing is complex, a managed Cassandra pricing is simple to determine, and as you scale out, you can anticipate observing the average cost per node drop. The name was derived from Dynamo, a robust key-value developed by Amazon in 2004 to deal with frequent outages during the peak holiday seasons. This paper compares two popular NoSQL data stores—Amazon DynamoDB, a fully managed NoSQL cloud database service, and Apache HBase, an open-source, column-oriented, distributed big data store. Mongo B is developed by MongoDB Inc, a US based software company. Your data access patterns are pretty limited, so you won’t need to go deep on learning DynamoDB. Who cares, you may ask? Both data storage systems provide similar functionality, but they handle data storage differently. In order to perform analytics queries, data must be replicated to another AWS service such as Amazon Athena. In DynamoDB and Cassandra, it’s called a partition key. Let’s talk about one of the most powerful databases, Amazon DynamoDB and how it compares with the best of breed open-source database Apache Cassandra. Oracle NoSQL X. exclude from comparison. While syncing, your application can still continue to read from and write to the source database. If you're already using the AWS stack and you need a NoSQL database, then DynamoDB is a no-brainer. It also is super straightforward to integrate with AWS Lambdas and API Gateway. Autoscaling of database tables, throughput and storage for performance and capacity as database traffic grows and shrinks. Amazon DynamoDB vs Amazon DocumentDB: What are the differences? A NoSQL database is a mechanism for storing data that is not structured in the same tabular format as a relational database. Mongo DB provides a number of powerful ways to analyze data, including: MongoDB is designed from the ground up to be a distributed database, which means that high availability, horizontal scaling and multi region distribution all come as standard and are easy to set up. DynamoDB also provides ways to work with user authentication and access authorization. Vishal Chawla is a senior tech journalist at Analytics India Magazine and writes about AI, data analytics, cybersecurity, cloud computing, and blockchain. Name. NoSQL is pretty much what it sounds like: databases that don’t use SQL. MongoDB is difficult to install and configure, and there is little support available to assist with this. DynamoDB from Amazon is a fully managed NoSQL database that is known for its fast and predictable performance. DynamoDB Vs MongoDB Performance. AWS Reliability – A Core Pillar of Your Architecture, Scalability in Cloud Computing & Why We Love AWS, 28 AWS Launches Announced by Andy Jassy at re:Invent 2020, AWS Control Tower: Everything you Need To Know, Webinar – Optimising Availability & Performance Of EdTech Applications With AWS, AWS Identity and Access Management Best Practises, AWS Service Level Agreement – What you need to know, Easier horizontal scaling to clusters of servers. Amazon DynamoDB offers multiple advantages over other NoSQLdatabase management systems such as Apache Cassandra and MongoDB. MongoDB describe Atlas as the ‘easiest way to run MongoDB’. Users of AWS DynamoDB simply need to follow standard programming best practise, the rest is taken care of by AWS under their role in the ‘Shared Responsibility Model’ for security. Complex queries executed within MongoDB, minimising the requirement for third party data analytics tools. "Predictable performance and cost" is the primary reason why developers consider Amazon DynamoDB over the competitors, whereas "Performance" was stated as the key factor in picking HBase. Atlas Live Migration Service makes an initial copy of your source database, and then keeps any changes synchronised until you are ready to make the cut over. Rich monitoring and real time performance dashboards give great visibility into database performance. Automatic replication of database tables across AWS regions enabling globally distributed applications to access data locally to ensure single digit millisecond latency. Management tools for automation, monitoring & backup, Compass for schema exploration and native document validation. Non-Relational vs. Relational. At the same time, Cassandra is designed as a column-family data store. This allows applications … It depends on what you want from the data. And the smallest level of access granular… I’m not a database guy, I’m a node guy. MongoDB has major limitations when running map-reduce jobs. MongoDB also has a paid offering (priced on application) – MongoDB Enterprise Advanced, which includes additional features such as: MongoDB can be run on customer managed servers, or with MongoDB Atlas on AWS, Azure and GCP. DynamoDB, on the other hand, uses a shift-left model of scalability. DynamoDB is a managed NoSQL database service provided by Amazon Web Services. On DynamoDB, Querying data can be done with a proprietary API from AWS. Setting up Dynamo was a breeze. Difference between AWS DynamoDB vs AWS DocumentDB vs MongoDB? No other vendor runs the AWS proprietary database model. Linear Scalability. It's a fully managed, multi-region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. Beware though that unless you’re using MongoDB Atlas, you’ll be responsible for the security of the entire stack on which MongoDB is hosted. AWS DynamoDB, like many AWS services, is very secure by default. If you are all in on AWS, then DynamoDB is the obvious choice of no SQL database. Rows in a wide-column database don’t need to have the same columns, enabling developers to dynamically add and remove new columns without impacting the underlying table.