Migration of Database from Amazon DynamoDB into PostgreSQL

Organizations migrate from their on-premises databases to the cloud to speed up the modernization process. Gartner Inc’s latest forecast shows that 2021 will see a 23% increase in global end-user spending on public cloud services. This is a significant jump from the $270 billion spent on 2020.
Database migration is on the rise. There are many intricate details that only technical experts can understand and implement. Let’s dive into the migration of DynamoDB databases to PostgreSQL.
For beginners, here is a brief overview of Database, DynamoDB and PostgreSQL.
1. What is a Database?
Databases are organized information that is easily accessible, managed, and developed. Databases are significant to your business/organization because they link to information related to your transaction, product list, customer profiles, and marketing activities. Without a central place to store all of this information, you will never know what is going on inside your business. Business owners don’t know the details of their business and make guesses based on opinions, rather than facts.
2. Commonly used database types
Relational Database:
A relational database stores and organizes data points that are related to each other. A relational database is based on the relational model and presents data sets in the form of a collection or tables. It also provides operators that allow for manipulation of the data in tabular form.
Relational databases store data in tables. This makes it easy to store and retrieve structured information in a simple, intuitive, and flexible manner. Relationships are columns that contain one or more data types and rows that contain a set data according to the category. Application access data by specifying queries.
MySQL Database, PostgreSQL Oracle, MS SQL Server and Sybase are all examples of Relational Databases.
Non-Relational Database:
Non-relational databases are those that do not include the table/key model promoted by relational database management system (RDBMS). These databases require data manipulation techniques and processes that can solve big data problems. NoSQL is the most popular non-relational database.
DynamoDB and MongoDB are examples of Relational databases. Redis, Couchbase and Apache HBase are also examples.
3. What is Dynamo DB and what are its Limitations
Amazon DynamoDB, a fully managed NoSQL SQL database service, allows you to create database tables that can store or retrieve any amount of data. It automatically manages data traffic across multiple servers and maintains performance. It also takes the responsibility of scaling and operating a distributed database. Amazon manages hardware provisioning, configuration, replication and software patching as well as cluster scaling.
DynamoDB Limitations:
Only available on AWS, and cannot be installed on individual servers/desktops
Queries – The data available for querying is very limited
Table Joins – Table joins are impossible
No Triggers
No foreign keys concept can be used to refer to other table items
No server-side scripts
4. Migration of DynamoDB data to PostgreSQL
NoSQL databases have become so popular that they are used in almost all uses without knowing if they are suitable for each use case. The NoSQL databases are built around queries. This is a fundamental rule that is often forgotten. Initial business use cases are the basis for the schema’s evolution. As business use cases change and evolve, the database’s interaction requirements become more complicated. This is the main problem with NoSQL databases.
Sometimes, organizations need to migrate to SQL databases using NoSQL D because of business requirements.

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