Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.com as a part of their Amazon Web Services portfolio. Many of the world’s renowned businesses and enterprises use DynamoDB to support their mission-critical workloads.
PostgreSQL is a leading object-relational database management system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.PostgreSQL Integrations
Amazon DynamoDB + Amazon DynamoDBGet IP2Location information for IP addresses from new AWS DynamoDB items and store it in a separate table Read More...
PostgreSQL + Google SheetsCreate rows in Google Sheets for new PostgreSQL custom query matches. Read More...
PostgreSQL + AsanaCreate Asana tasks for new PostgreSQL custom query matches Read More...
PostgreSQL + SlackReceive Slack notifications for new custom query matches on PostgreSQL Read More...
It's easy to connect Amazon DynamoDB + PostgreSQL without coding knowledge. Start creating your own business flow.
Trigger when new item created in table.
Trigger when new table created.
Triggered when you add a new column.
Triggered when you add a new row.
Triggered when new rows are returned from a custom query that you provide. Advanced Users Only
Creates new item in table.
Adds a new row.
Updates an existing row.
The use of data in our day to day life is increasing exponentially. There are many different types of data and there are a number of ways to store this data. Some of these ways are Relational Database Management System like PostgreSQL or MySQL.A database is a collection of information. This database can be anything from the user's contact details, their bank account details, what they bought at a particular store and so on. The collection of user information could be viewed as a database.In this case, Amazon DynamoDB is used as the NoSQL database and PostgreSQL is used as the relational database management system. Amazon DynamoDB was created by Amazon to provide reliable and fast access to data without having to make complex schema changes. Amazon DynamoDB can be scaled up or down without any downtime or performance loss.It is designed to handle huge amounts of random data reads and writes from any application that requires it. It is ideal for IoT applications. It provides consistent response times even when there are thousands of clients accessing a single table simultaneously. Amazon DynamoDB stores data items in tables. Each table contains multiple items called itemsets. An itemset is of the form (key, attribute-value pair. Key is an attribute name and attribute value is an attribute value of that name. Attribute value can be either scalar or array type.A high level overview of how Amazon DynamoDB works is given below:Amazon DynamoDB NoSQL database has four main components:Each DynamoDB instance contains one or more tables. A table contains multiple itemsets. A primary key uniquely identifies each itemset within a table.An itemset is identified by its hash key and range key. Hash key and range key are unique within a table. The hash key identifies an itemset in a unique manner. The range key is used for ordering item sets within a table. The hash key for an itemset is calculated using the hash algorithm on the attribute values of that itemset. The range key is calculated using the hash algorithm on both the hash key and range key values of that itemset.There are two types of data items in Amazon DynamoDB:DynamoDB supports four consistency levels:Amazon DynamoDB also supports provisioned throughput capacity i.e.,Amazon DynamoDB can be used either through its API or through AWS management console. AWS management console makes it easier to use Amazon DynamoDB as it abstracts the complexity of its API. But using Amazon DynamoDB through its API allows you to access all its features and settings directly.
Amazon DynamoDB can be integrated with PostgreSQL using Apache Ignite . Apache Ignite is a distributed in-memory computing platform built on top of Apache Spark . It allows users to store data in-memory thereby reducing the processing time significantly compared to traditional disk based databases which have to read and write all data from disk before processing it. Apache Ignite supports SQL plus non-SQL languages such as Java, PHP, Python and so on. It also provides in built support for some popular NoSQL databases such as Cassandra , HBase etc.Amazon DynamoDB can be integrated with PostgreSQL using Apache Ignite by:
PostgreSQL supports ACID transactions which means that it guarantees atomicity, consistency, isolation, durability for every transaction thereby making it suitable for business critical applications where failure cannot be tolerated. This makes PostgreSQL highly reliable and scalable for enterprise grade applications like ERP, CRM etc. ACID transactions ensure data integrity by ensuring that once a transaction has been committed, it cannot be rolled back due to a faulty transaction execution. Transactions are also isolated from each other so if one transaction fails then other transactions do not fail along with it. Transactions guarantee the preservation of data integrity no matter how many nodes fail or crash during their execution. It ensures data correctness by logging all updates made to the database. So if the node storing the log crashes during the execution of a transaction then the transaction will fail but no data will be lost due to this failure since all changes will have been logged in the database already and will be replayed once the crashed node recovers. PostgreSQL also supports foreign keys which provide referential integrity between tables thereby ensuring that records in one table depend on records in another table and any change done to one record will automatically affect records elsewhere which refer to it thereby eliminating redundant data entry saving time and improving data accuracy considerably. Postgresql also supports views which allow users to manipulate data stored in one table as though it was stored in another table thereby giving them the flexibility to decide how they want to view their data or how they want to retrieve it. Views also allow users to save some processing power by pre-calculating queries before actually executing them on the real table thus speeding up data retrieval substantially . PostgreSQL also supports triggers which allow users to execute custom code whenever certain events occur such as insertion, deletion or updating of data in a table thereby giving users the option of modifying their data in any way they desire rather than just viewing it as it originally existed. For example, if you need to know whenever a new record gets inserted into your contact table then you can set up a trigger which will automatically send you an email informing you about this newly inserted record . The combination of all these features makes PostgreSQL an excellent choice for enterprise grade applications that require high reliability, high scalability and high performance capabilities along with low cost and ease of use .
The process to integrate Amazon DynamoDB and PostgreSQL may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick solution to help you automate your workflows. Click on the button below to begin.