AURORA DATABASE ENGINE FOR STARTUPS

What is an AWS Database Engine?
AWs offers a array of services which uses different database engines according to the needs of the customer.
AWS database services offers fully managed service that is scalable, reliable and has a very high performance. It takes care of the administrative tasks such as setting up of the database, patching, back-up and scalability.
Data is created, read, updated and deleted from your database with the use of Database Engine.
Amazon web services supports 7 different engines such as MySQL, MariaDB, PostgreSQL, Aurora, Oracle, and Microsoft SQL

1)What is Amazon Aurora?
Amazon Aurora is an AWS cloud-based relational database engine which fully managed and developed in RDS. Amazon Aurora has a lot of uses and features which includes storing your data and provides response really fast and efficiently processing according to the database workloads. Aurora is also cost-effectiveness and simple open-source databases that supports all open-source MySQL functionality and runs only on AWS infrastructure.

What are the features of Amazon Aurora?
1)With the use of Amazon Aurora your database is secured.

2)It is cost effective. With Amazon Aurora You only pay for the resources you use.

3)Your DB instances is highly available since it can be replicated in multiple availability zones giving your organization availability of 99.99%.

4)Amazon Aurora is highly scalable going up and down to meet the demands of your organization changing in size according to your storage needs.

5)AWS fully takes care of Updating, monitoring, upgrading, or provisioning of database so that developers don't need to worry about that.

WHAT MAKES AMAZON AURORA A GOOD CHOICE FOR STARUPS?
Amazon Aurora can be an excellent choice for startups for the following reasons:

Easy To Setup: Amazon Aurora is fully managed service and very easy to setup which gives startups time to focus on building their applications and products without worrying about database administration.

Cost-Effective: With Amazon Aurora, startups can take advantage of its pay-as-you-go pricing model offering, paying for only what they use, this can be very cost-effective for startups. As a result of this, startups don't need to invest in costly hardware upfront.

High Performance: Amazon Aurora has a high performing SSD-backed storage and architecture which is used for applications for various workloads in your organization. Aurora can handle rapid growth and provide low-latency responses for startups.

Scalability: Aurora serverless can scale your startup's compute capacity automatically raising it up and down by adjusting instance size and adding read replicas to ensures that the database can grow along with the business whose workload can be unpredictable.

Compatibility: If your startup can easily migrate existing database to Amazon Aurora with minimal changes if it is already using MySQL or PostgreSQL since they are compatible.

Security and Reliability: Your company's data is secure and highly available because Aurora provides features like encryption at rest and in transit, automatic backups, and multi-region replication

Global Reach: If your startups has a global user base, then Amazon Aurora Global Database will make replication across multiple AWS regions possible, thereby ensuring low-latency access to data for users around the world.

Managed Backups and Recovery: Continuous backups of Aurora is automatically , this allows startups recovery of their databases up to a point in case of data loss or corruption.

Fully Managed Replication: Amazon Aurora supports both automated and manual read replicas, allowing your organization to unload read traffic and expand read throughput when this is done data consistency is not compromised.

Focus on Core Business: Startups can focus on building and improving their core products and services and leave managing database infrastructure to AWS taking advantage of Amazon Aurora's managed service,

However, it's important to consider your business specific use case, all the requirements and budget as you choose a database solution for your startup. It is advisable to always perform a careful evaluation of your startups technical requirements and growth forecast to arrive at the best decision for your startup's database architecture.