Amazon Aurora
MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.
MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.
This page is designed to help you find out whether Amazon Aurora is good and if it is the right choice for you.
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High Performance
Amazon Aurora is designed to provide up to five times the throughput of standard MySQL and three times the throughput of standard PostgreSQL databases.
Scalability
Aurora scales storage automatically, growing from 10GB up to 128TB with no downtime. This automatic scaling makes it ideal for applications with fluctuating workloads.
High Availability and Durability
Aurora automatically replicates six copies of data across three availability zones and continuously backs up data to Amazon S3, ensuring durability.
Security
Aurora offers multiple layers of security including network isolation using Amazon VPC, encryption at rest using keys that you create and control through AWS Key Management Service (KMS), and encryption of data in transit using SSL.
Fully Managed
Aurora is fully managed by AWS, which automates time-consuming administrative tasks such as hardware provisioning, database setup, patching, and backups.
Compatibility
Aurora is compatible with MySQL and PostgreSQL, making it easier to migrate existing applications to Aurora with minimal changes.
Immutability
Amazon QLDB uses an immutable transaction log, which ensures that all changes to the data are permanent and cannot be deleted or altered. This enables high data integrity and supports cryptographic verification.
Serverless Architecture
QLDB is serverless, meaning that it automatically scales according to your needs. You don’t have to worry about managing and provisioning servers, thus reducing operational complexity.
Integrated with AWS Ecosystem
Being part of AWS, QLDB can easily integrate with other AWS services, such as AWS Lambda, Amazon S3, and Amazon CloudWatch, providing a seamless experience for building applications.
ACID Transactions
QLDB supports ACID (Atomicity, Consistency, Isolation, Durability) transactions, ensuring data integrity, which is crucial for applications that require reliable transaction guarantees.
Cryptographic Verification
The ledger uses a cryptographic hashing process to create a chain of blocks, allowing you to verify the integrity of your data over time.
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Check the traffic stats of Amazon Aurora on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Amazon Aurora on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Amazon Aurora's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Amazon Aurora on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Amazon Aurora on Reddit. This can help you find out how popualr the product is and what people think about it.
The short version is this: BabyChain lets you design a ComfyUI-style media chain on a canvas, then call that same chain from product code as POST /api/v1/chains/runs. Every step executes through provider APIs with server-side credentials, every state transition persists to AWS Aurora, and Vercel functions stay stateless. - Source: dev.to / 4 months ago
RAG provides dynamic, up-to-date knowledge through vector stores (Amazon OpenSearch Serverless, Amazon Aurora pgvector, Amazon MemoryDB, Amazon ElastiCache, MongoDB Atlas, Pinecone, Redis Enterprise Cloud). - Source: dev.to / 6 months ago
When deploying to production, switch to Amazon Aurora PostgreSQL or any managed database by setting environment variables:. - Source: dev.to / 11 months ago
In modern data-driven applications, the efficiency and readability of SQL queries can affect performance, maintainability, and developer productivity. AWS Aurora, a fully managed relational database service compatible with MySQL and PostgreSQL, offers several techniques to manage query complexity and optimize performance through: Subqueries, Common table expressions, Temporary Tables, Views, and Materialized views. - Source: dev.to / about 1 year ago
At some point I really needed to use a relational database and I started playing with RDS Aurora. I created an instance, connected from Lambda and it worked just fine. However when I generated a bit more load it soon started locking up, all connections were in use and new ones couldn't be created. It would take a while for the database to become available again. The warning for combining Lambda with connection... - Source: dev.to / over 1 year ago
Using Amazon Bedrock to invoke Amazon Titan Foundation Models for generating multimodal embeddings, Amazon Transcribe for converting speech to text, and Amazon Aurora postgreSQL for vector storage and similarity search, you can build an application that understands both visual and audio content, enabling natural language queries to find specific moments in videos. - Source: dev.to / over 1 year ago
Cloud deployment: PostgreSQL can be deployed in the cloud with AWS RDS, Amazon Aurora, Azure Database for PostgreSQL, or Cloud SQL for PostgreSQL. - Source: dev.to / almost 2 years ago
Today, our Postgres databases are Amazon Aurora instances. You can trust that your database will have the scalability, reliability and security that AWS is known for. With dedicated clusters you can configure both the Postgres engine version, cluster class and number of replicas for failover and query distribution. - Source: dev.to / about 2 years ago
As far as the big players are concerned, Google offers AlloyDB (https://cloud.google.com/alloydb) while Amazon offers Aurora (https://aws.amazon.com/rds/aurora/). - Source: Hacker News / about 3 years ago
Aurora is a managed database service from Amazon compatible with MySQL and PostgreSQL. It allows for the use of existing MySQL code, tools, and applications and can offer increased performance for certain workloads compared to MySQL and PostgreSQL. - Source: dev.to / about 3 years ago
See my other comment on this thread. More typically you'd use RDS for external DB. Aurora is a megascale version. Source: over 3 years ago
If you get to a point where RDS cannot handle your work load you can migrate to Amazon Aurora: Https://aws.amazon.com/rds/aurora/. Source: over 3 years ago
Just like how DB replication and load-balancers exists for ~20 years, SC is making far worse version of them under different name. So this "budget" thingy is just another distraction for cult to discuss, so the followers can claim "they know game development". Source: over 3 years ago
There definitely is a technical usecase for blockchain technology Just look at Https://aws.amazon.com/qldb/. Source: over 3 years ago
When I say serverless, I am generally referring to the services that developers use to build applications. Examples are AWS Lambda, EventBridge, DynamoDB, and Step Functions. But what makes these serverless compared to services like Amazon Aurora or ECS? - Source: dev.to / almost 4 years ago
AlloyDB is a fully managed PostgreSQL compatible database service that Google claims to be twice as fast for transactional workload compared to AWS Aurora PostgreSQL. If you've worked with Google Cloud already, you probably had some contact with CloudSQL for PostgreSQL and Spanner, which offers a PostgreSQL interface. So, what's actually new about this AlloyDB? - Source: dev.to / about 4 years ago
Under the use-cases section for aws aurora (https://aws.amazon.com/rds/aurora/), we have,. Source: about 4 years ago
1. Problem Our customer wants to continuously backup their data from AWS Aurora MySQL to local provider cloud in private connection. So, a IPsec VPN site-to-site connection is required. In AWS side, Virtual Private Gateway (VGW) provides dual-tunnels to Customer Gateway (CW) for high availability. If there is a device failure within AWS, the VPN connection automatically fails over to the second tunnel so that... - Source: dev.to / about 4 years ago
Database records - Perhaps the most obvious source of data gravity, whether it be DynamoDB or Aurora, these records accumulate with interactions in your app. As your consumers use your APIs, the data gravity increases as records are saved. - Source: dev.to / about 4 years ago
Https://aws.amazon.com/qldb/ Maintain an immutable, cryptographically verifiable log of data changes. Source: over 4 years ago
AWS has a cloud implementation of that : https://aws.amazon.com/qldb/. Source: over 4 years ago
Amazon Aurora, a managed relational database service from Amazon Web Services (AWS), has garnered significant attention and diverse opinions within the tech community. Occupying a strategic position in the database landscape, it aims to offer a high-performance option for MySQL and PostgreSQL workloads, leveraging cloud-native architecture to deliver enhanced scalability and availability. Here's a detailed overview of the main talking points surrounding Amazon Aurora, drawn from recent discussions:
Performance and Scalability: Many users praise Aurora for its performance enhancements over standard MySQL and PostgreSQL deployments, particularly the promise of up to 5x and 3x throughput improvements, respectively. This boost is attributed to Aurora's cloud-optimized storage subsystem and its ability to automatically scale storage. These capabilities make it suitable for applications requiring high availability and robust performance, evident in mentions where users consider Aurora a choice for production environments.
Ease of Use and Integration: Aurora's compatibility with MySQL and PostgreSQL is a significant benefit, as it allows for seamless migration of existing workloads with little to no changes in application logic. This compatibility extends to support through AWS services like AWS Lambda, though it’s worth noting that some users have experienced connection management challenges when utilizing serverless architectures with Aurora, especially with connection-heavy services.
Reliability: Known for its robust architecture, Aurora offers a distributed, fault-tolerant storage system and rapid failover, promising 99.99% availability. The ability to replicate data across multiple AWS Availability Zones and continuous backups to Amazon S3 adds a layer of security against data loss, appealing to enterprises that demand high reliability from their database services.
Comparison with Competitors: Aurora is consistently compared to other cloud database solutions like Google's AlloyDB and Microsoft's Azure Database for PostgreSQL. It is recognized for its strong integration within the AWS ecosystem, yet users contemplating cross-platform solutions often weigh Aurora's benefits against these competitors, which may offer specific advantages, such as Google's claimed performance edge with AlloyDB in transactional workloads.
Cost and Complexity: While many users appreciate Aurora's advanced features, there is an underlying concern about potential cost implications, especially given the AWS charging model, which can escalate with scaling needs. However, its managed nature, reducing operational complexity, often offsets these concerns by offering easy-to-manage infrastructures.
Technology Adoption and Benchmarks: Despite positive reception, some users have debated Aurora’s performance versus traditional RDS implementations. Benchmarks are an ongoing discussion topic with several instances suggesting that conventional RDS outperforms Aurora under certain configurations.
In conclusion, Amazon Aurora continues to be a powerhouse in managed database services, particularly valued for its performance, ease of use, and AWS integration. It is, however, essential for potential users to consider their unique workload requirements and cost structures, given the competitive landscape of cloud database solutions. Aurora's future in enterprise applications appears promising, tethered closely to AWS’s broader service offerings and cloud-native infrastructure roadmap.
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