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Many of the world's fastest growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB.
PostgreSQL is a great and powerful database system, used in the management of object-related databases, bringing great performances on concurrency, transactions, and schema controls.
At some point, we start having problems with very slow queries, and after some debugging we discover postgres decided to use the wrong index to perform the query plan.
PostgreSQL is by far the most user friendly and most advanced database system out of the top 5 popular choices.
And that makes it somewhat discredited when planning an application.
PostgreSQL is highly regarded for its robustness, scalability, and reliability, making it the perfect choice for businesses looking for a dependable and secure database.
Occasionally has a feature missing or delayed for want of development resources.
It is very robust and once set up it is easy to maintain and hard to break. PostgreSQL is completely free - there are no licencing fees of any kind, which makes it a great option for any project.
If your software requires over 10k transactions per second, you're gonna have to put in some serious work make Postgres scale. This is where Postgres becomes a pain to optimize.
I like how it provides you quick and easy access to data that you need to query. How it stores data in a way that even users without an IT background can quickly have a grasp into is a great thing.
It's not as flexible as MongoDB when it comes to indexes. Lack of stored procedures as in MongoDB.
The documentation is fantastic and it makes it so easy to get started and creating our proof of concepts.
The query structure seems to be a bit complicated for various fields. The expressions are limited and does not address all business requirements.
DynamoDB is my go-to solution for NoSQL Databases, it is very easy to configure and the documentation is near perfect.
Lots of weird optimization tricks. AWS does not do a good job about letting you know if you accidentally use a reserved word (things just break).
Good performance for general storing and retrieving of key-value pair. Managed version has good scalability from AWS.
Infinitely scalable but very limited for analytics.
David Z.: My name's David, I'm a software developer in the audiovisual industry, and I would give PostgreSQL a five. We're using PostgreSQL to solve data persistence issues that we were having, as well as we're using it for business intelligence purposes to run various queries for our analytics and business intelligence divisions. What I like most about PostgreSQL is it's very easy to use compared to other SQL dialects, and very easy to deploy Docker containers. What I dislike most about PostgreSQL is that certain things like database vacuuming and other maintenance processes can be single threaded, which can cause a little more downtime than necessary.
Prioritize real-user-identified key features according to your needs to find your best fit.
PostgreSQL
Top FeaturesAmazon DynamoDB
Amazon DynamoDB
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