DynamoDB - Introduction Last Updated : 02 Feb, 2022 Comments Improve Suggest changes Like Article Like Report DynamoDB allows users to create databases capable of storing and retrieving any amount of data and comes in handy while serving any amount of traffic. It dynamically manages each customer's requests and provides high performance by automatically distributing data and traffic over servers. It is a fully managed NoSQL database service that is fast, predictable in terms of performance, and seamlessly scalable. It relieves the user from the administrative burdens of operating and scaling a distributed database as the user doesn't have to worry about hardware provisioning, patching Softwares, or cluster scaling. It also eliminates the operational burden and complexity involved in protecting sensitive data by providing encryption at REST. DynamoDB Vs RDBMS The below table provides us with core differences between a conventional relational database management system and AWS DynamoDB: OperationsDynamoDBRDBMSSource connectionIt uses HTTP requests and API operations.It uses a persistent connection and SQL commands.Create TableIt mainly requires the Primary key and no schema on the creation and can have various data sources.It requires a well-defined table for its operations.Getting Table InformationOnly Primary keys are revealed.All data inside the table is accessible.Loading Table DataIn tables, it uses items made of attributes.It uses rows made of columns.Reading Table DataIt uses GetItem, Query, and ScanIt uses SELECT statements and filtering statements.Managing IndexesIt uses a secondary index to achieve the same function. It requires specifications (partition key and sort key).Standard Indexes created by SQL is used.Modifying Table DataIt uses a UpdateItem operation.It uses an UPDATE statement.Deleting Table DataIt uses a DeleteItem operation.It uses a DELETE statement.Deleting TableIt uses a DeleteTable operation.It uses a DROP TABLE statement.Advantage of DynamoDB: The main advantages of opting for Dynamodb are listed below: It has fast and predictable performance.It is highly scalable.It offloads the administrative burden operation and scaling.It offers encryption at REST for data protection.Its scalability is highly flexible.AWS Management Console can be used to monitor resource utilization and performance metrics.It provides on-demand backups.It enables point-in-time recovery for your Amazon DynamoDB tables. Point-in-time recovery helps protect your tables from accidental write or delete operations. With point-in-time recovery, you can restore that table to any point in time during the last 35 days.It can be highly automated. Limitations of DynamoDB - The below list provides us with the limitations of Amazon DynamoDB: It has a low read capacity unit of 4kB per second and a write capacity unit of 1KB per second.All tables and global secondary indexes must have a minimum of one read and one write capacity unit.Table sizes have no limits, but accounts have a 256 table limit unless you request a higher cap.Only Five local and twenty global secondary (default quota) indexes per table are permitted.DynamoDB does not prevent the use of reserved words as names.Partition key length and value minimum length sits at 1 byte, and maximum at 2048 bytes, however, DynamoDB places no limit on values. Comment More infoAdvertise with us Next Article DynamoDB - Introduction R RajuKumar19 Follow Improve Article Tags : Python Computer Subject DynamoDB Practice Tags : python Similar Reads DynamoDB - Local Installation The DynamoDB setup only includes the access of your AWS account through which the DynamoDB GUI console can be accessed. However, a local installation can also be done for the same purpose. Creating AWS account: Visit the following website:- https://aws.amazon.com/dynamodb/Click on the "Get Started w 3 min read AWS DynamoDB - Introduction to DynamoDB Accelerator (DAX) DynamoDB is a fast NoSQL Database that is managed by Amazon Web Services (AWS). It was developed by Amazon Web Services (AWB). DynamoDB is sometimes referred to as a key-value store, but it also has Streams, Global and Local Secondary Indexes, Multi-region and Multimaster replication with enterprise 4 min read AWS DynamoDB - Working with Indexes An index is a data structure that enables us to perform fast queries on different columns in a table. After creating an index, the database handles it for us. Whenever data is modified in the table, the index is automatically modified to reflect changes in the table. We can create and use a secondar 2 min read DynamoDB - Using the Console The AWS management console for Amazon DynamoDB can be accessed from here. The AWS management console can be used for the following: Perform Table operations like create, update and delete a table from the database.To get additional storage and processing capability.To keep track of all the relevant 4 min read AWS DynamoDB - PartiQL Insert Statement PartiQL is a SQL-compatible query language that supports querying, modifying, and inserting data. It makes it easier to interact with DynamoDB and run queries in AWS Management Console. Insert data into DynamoDB Table using PartiQL: Syntax: INSERT INTO table-name VALUE item;Table name: Required – Na 1 min read Like