In this blog post, we will review AWS DynamoDB, a NoSQL database service by AWS.
We will talk about what is aws dynamodb? What benefits does it have over other types of databases?
What is AWS dynamodb?
AWS dynamodb is a scalable NoSQL database service. All data and queries are served by consistent, single-digit millisecond latency at any scale.
The elasticity of Amazon DynamoDB allows for a seamless transition between on-premises databases to the public cloud without changing code or applications that connect to your data store.
There is no need to rewrite software which accesses your data—you simply migrate it over time as you move towards 100% usage of AWS services in order to reduce costs and risk while meeting all technical requirements.
One more thing;
What does “NoSQL” mean?
NoSQL databases get their name because they do not adhere to the traditional rules of relational database management systems (RDBMS).
They are considered “Not only SQL” because they offer a different set of tradeoffs that deliver higher availability, scalability, and faster performance.
For example, one popular NoSQL database is MongoDB which was built for speed at the expense of consistency
How does Amazon DynamoDB Work?
AWS dynamodb uses the same scalable, distributed model as a traditional relational database. It stores data across multiple servers, instead of having all your data on one server for faster access and higher capacity.
This enables AWS dynamodb to handle large amounts of data with high throughput at any scale without adding more complexity or requiring specialized hardware support.
Any organization can manage their information in the cloud using AWS services like Amazon SNS (Simple Notification Service), Amazon DynamoDB Streams, and Kinesis Firehose to capture changes that happen within an application’s backend systems such as databases and web servers.
And then send them securely to AWS Lambda functions which run automatically when new events occur so they are handled appropriately; process these messages into appropriate formats for downstream systems; and then deliver them to their end destinations like Amazon SNS, Kinesis, or a third-party data store such as Apache Kafka.
Benefits of using Amazon DynamoDB
Here are some of the notable benefits of using AWS dynamodb NoSQL database;
- Amazon DynamoDB allows you to securely store and rapidly access any amount of data, from a few megabytes to many terabytes.
- You can also scale up or down automatically without downtime or disruption.
- Pay only for what you use with simple, hourly pricing.
- Migrate seamlessly between on-premises databases and AWS services—all within the same application software environment “without changing code” using Amazon DynamoDB Streams Data Collector API
- You can also send changes in real time as they happen via Kinesis Firehose (or similar) to your own backend systems such as Apache Kafka, Lambda functions running on Elastic Compute Service EC-12 instances that process messages into formats needed by downstream systems like Amazon SNS.
Customers can also create their own custom solution by using AWS API calls into any other supported services including DynamoDB natively within Python or Java applications.
How secure is AWS DynamoDB?
Amazon DynamoDB is secured by AWS Identity and Access Management (IAM) which provides the ability to create individual users with their own access privileges.
User permissions can be restricted from specific operations or resources, ensuring that only a subset of your data will ever be accessed at any given time.
This gives you control over who has access to what parts of your database while also preventing unauthorized access to critical information such as credit card numbers in one user’s account from compromising other accounts on the same service.
With these security features available for DynamoDB, it is possible for developers to implement more secure solutions without having to write complex code themselves because they are already included out of the box.
Applications of DynamoDB include:
Personalized shopping experiences.
If a customer’s purchase history indicates that they always buy bananas in the morning and apples at night, an online store could use this data to automatically change the offers on their landing page based on the time of day.
That is what Netflix is using it for, to run A/B testing that builds personalized streaming experiences for their 125+ million customers.
It can also be used in fraud detection systems.
Financial institutions may need to know whether two particular card transactions are coming from the same person or not so they can flag any discrepancies as potential fraud activity.
This is just one application where DynamoDB would be more efficient than traditional relational databases.
Amazon DynamoDB enables its customers to use the database service in three different ways:
a). On demand pricing plans (pay only for what you need)
b). Database storage capacity is billed per gigabyte per month with no minimum commitments required) and Reserved pricing plan (purchase reserved instances of aws dynamodb at lower prices).
You can also build your own custom solution by using AWS API calls into any other supported services including DynamoDB natively within Python or Java applications.
In conclusion, Amazon DynamoDB is a secure, scalable, and fast NoSQL database service that can be used by developers to build highly available applications.