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Amazon RDS vs Amazon RDS for Aurora vs DigitalOcean Managed Databases: What are the differences?
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1. **Cost**: Amazon RDS offers various database engines at different price points, while Amazon RDS for Aurora is a more cost-effective option specifically designed for the Aurora database engine. DigitalOcean Managed Databases provides a transparent pricing model with no hidden fees, making it easy to calculate costs without surprises.
2. **Performance**: Amazon RDS for Aurora is known for its high-performance capabilities, offering up to five times the throughput of standard MySQL or PostgreSQL databases. DigitalOcean Managed Databases provides good performance for small to medium-sized applications but may not scale as effectively for high-demand workloads as Amazon RDS for Aurora.
3. **Availability and durability**: Amazon RDS offers Multi-AZ deployments and automated backups for high availability and data durability. Amazon RDS for Aurora enhances this by providing even greater availability and durability due to its distributed nature. DigitalOcean Managed Databases also offers high availability through replicas but may not match the level of durability provided by Aurora.
4. **Scalability**: Both Amazon RDS and Amazon RDS for Aurora offer scalable options, allowing users to easily resize their database instances. DigitalOcean Managed Databases also provides scalability features but may not be as flexible in terms of performance tuning compared to Amazon RDS for Aurora.
5. **Integration with other AWS services**: Amazon RDS seamlessly integrates with other AWS services like EC2, IAM, CloudWatch, and more, making it a popular choice for users within the AWS ecosystem. Amazon RDS for Aurora further enhances this integration, offering better compatibility and performance optimizations when used with other AWS services. While DigitalOcean Managed Databases provides good standalone database solutions, it may not have the same level of integration options with external services.
6. **Managed services and support**: Both Amazon RDS and Amazon RDS for Aurora are fully managed services, including routine maintenance tasks, backups, and security patching. DigitalOcean Managed Databases also offers a managed service but may have slightly fewer automation features compared to the AWS offerings.
In Summary, Amazon RDS for Aurora provides a cost-effective, high-performance, highly available, and scalable database solution with strong integration capabilities within the AWS ecosystem, while DigitalOcean Managed Databases offers a simpler pricing model and good performance for small to medium-sized applications.
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Learn MorePros of Amazon Aurora
Pros of Amazon RDS
Pros of DigitalOcean Managed Databases
Pros of Amazon Aurora
- MySQL compatibility14
- Better performance12
- Easy read scalability10
- Speed9
- Low latency read replica7
- High IOPS cost2
- Good cost performance1
Pros of Amazon RDS
- Reliable failovers165
- Automated backups156
- Backed by amazon130
- Db snapshots92
- Multi-availability87
- Control iops, fast restore to point of time30
- Security28
- Elastic24
- Push-button scaling20
- Automatic software patching20
- Replication4
- Reliable3
- Isolation2
Pros of DigitalOcean Managed Databases
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Cons of Amazon Aurora
Cons of Amazon RDS
Cons of DigitalOcean Managed Databases
Cons of Amazon Aurora
- Vendor locking2
- Rigid schema1
Cons of Amazon RDS
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Cons of DigitalOcean Managed Databases
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What is Amazon Aurora?
Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.
What is Amazon RDS?
Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.
What is DigitalOcean Managed Databases?
Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.
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What companies use Amazon Aurora?
What companies use Amazon RDS?
What companies use DigitalOcean Managed Databases?
What companies use Amazon Aurora?
What companies use DigitalOcean Managed Databases?
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What tools integrate with Amazon Aurora?
What tools integrate with Amazon RDS?
What tools integrate with DigitalOcean Managed Databases?
What tools integrate with Amazon Aurora?
What tools integrate with Amazon RDS?
What tools integrate with DigitalOcean Managed Databases?
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What are some alternatives to Amazon Aurora, Amazon RDS, and DigitalOcean Managed Databases?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web