![]() You have two de facto ways to connect data, by reference and embedding, which in Ecommerce, both have big uses. But then, I have the same user in the Profile service, with the same id, but totally different fields. For instance, I've got a User service that has all auth related information of a user. What you need to see is to model your data in a way that makes sense with Mongo. Whatever Postgres offers, Mongo does it a little easier and better, like text search and geo-queries. Not just because of it being NoSQL, but because all of the support I find in the NodeJS community through packages and utilities that make it dead easy to use it for several use-cases. Now-a-days, I really found my solution in Mongo. One of the main challenges with analyzing a NoSQL database being familiar in the SQL ways, is that it's easy to look for "analogies" for what makes SQL useful, like relationship enforcing, transactions and the cascading effect on deletes, updates and inserts, and that limit your vision a lot when analyzing a tool like Mongo, especially in a micro-services pattern. However, frankly, I didn't want to model statically all data, since I have several distinct schemas (like for different product types) and I wanted some flexibility to add or remove as I saw fit. In summary, Amazon Aurora is a cloud-native, highly scalable, and managed database service with excellent performance, while PostgreSQL is a feature-rich, open-source database management system that offers flexibility but requires more manual management.Ī few months ago, I had decided to use Postgres because since its version 9 it showed a lot of progress for being a high-availability database. However, if you choose a managed PostgreSQL service from a cloud provider, there will be associated costs based on the service plan and usage. PostgreSQL, on the other hand, being open-source, is free to use. ![]() While it offers high-performance and managed services, it comes with associated costs. Amazon Aurora, being based on PostgreSQL, shares most of its features and is compatible with PostgreSQL extensions.Ĭost: Amazon Aurora is a paid service offered by AWS, and the cost depends on factors such as database instance size, storage usage, and data transfer. Its thriving community constantly enriches its ecosystem with additional extensions and plugins. Self-managing PostgreSQL requires more effort for tasks like backups, upgrades, and monitoring.įeatures and Extensions: PostgreSQL has a rich set of features and extensions, offering advanced indexing, JSON support, and a diverse collection of built-in functions. PostgreSQL, on the other hand, can be self-managed or used with managed PostgreSQL services offered by cloud providers. This offloads the administrative burden from the users, allowing them to focus on application development. Managed Services: Amazon Aurora is a managed database service provided by AWS, which means that AWS handles tasks such as software patching, backups, and database maintenance. Conversely, PostgreSQL can scale vertically with more server resources but requires manual configuration for horizontal scaling. Additional features like read replicas and multi-master capability enhance scalability and availability. Its shared storage architecture, automatic scaling, and replication capabilities enable efficient handling of high workloads and fast read/write performance. ![]() Scalability and Performance: Amazon Aurora surpasses PostgreSQL in scalability and performance. ![]() PostgreSQL, on the other hand, is a traditional open-source database management system that follows a monolithic architecture where computing and storage are tightly coupled. ![]() It is designed for high-performance and scalability, utilizing a distributed storage architecture that separates compute and storage layers. Here are the key differences between Amazon Aurora and PostgreSQL:Īrchitecture: Amazon Aurora is a cloud-native database engine developed by Amazon Web Services (AWS) that is compatible with PostgreSQL. Amazon Aurora vs PostgreSQL: What are the differences?Īmazon Aurora and PostgreSQL are relational database management systems that are different in terms of their architecture, scalability, performance, and managed services. ![]()
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