Need advice about which tool to choose?Ask the StackShare community!
Manage your open source components, licenses, and vulnerabilities
Learn MorePros of Amazon Aurora
Pros of Google Cloud SQL
Pros of Microsoft Azure
Pros of Amazon Aurora
- MySQL compatibility14
- Better performance12
- Easy read scalability10
- Speed9
- Low latency read replica7
- High IOPS cost2
- Good cost performance1
Pros of Google Cloud SQL
- Fully managed13
- Backed by Google10
- SQL10
- Flexible4
- Encryption at rest and transit3
- Automatic Software Patching3
- Replication across multiple zone by default3
Pros of Microsoft Azure
- Scales well and quite easy114
- Can use .Net or open source tools96
- Startup friendly81
- Startup plans via BizSpark73
- High performance62
- Wide choice of services38
- Low cost32
- Lots of integrations32
- Reliability31
- Twillio & Github are directly accessible19
- RESTful API13
- PaaS10
- Enterprise Grade10
- Startup support10
- DocumentDB8
- In person support7
- Free for students6
- Service Bus6
- Virtual Machines6
- Redis Cache5
- It rocks5
- Storage, Backup, and Recovery4
- Infrastructure Services4
- SQL Databases4
- CDN4
- Integration3
- Scheduler3
- Preview Portal3
- HDInsight3
- Built on Node.js3
- Big Data3
- BizSpark 60k Azure Benefit3
- IaaS3
- Backup2
- Open cloud2
- Web2
- SaaS2
- Big Compute2
- Mobile2
- Media2
- Dev-Test2
- Storage2
- StorSimple2
- Machine Learning2
- Stream Analytics2
- Data Factory2
- Event Hubs2
- Virtual Network2
- ExpressRoute2
- Traffic Manager2
- Media Services2
- BizTalk Services2
- Site Recovery2
- Active Directory2
- Multi-Factor Authentication2
- Visual Studio Online2
- Application Insights2
- Automation2
- Operational Insights2
- Key Vault2
- Infrastructure near your customers2
- Easy Deployment2
- Enterprise customer preferences1
- Documentation1
- Security1
- Best cloud platfrom1
- Easy and fast to start with1
- Remote Debugging1
Sign up to add or upvote prosMake informed product decisions
Cons of Amazon Aurora
Cons of Google Cloud SQL
Cons of Microsoft Azure
Cons of Amazon Aurora
- Vendor locking2
- Rigid schema1
Cons of Google Cloud SQL
Be the first to leave a con
Cons of Microsoft Azure
- Confusing UI7
- Expensive plesk on Azure2
Sign up to add or upvote consMake informed product decisions
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 Google Cloud SQL?
Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.
What is Microsoft Azure?
Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention Amazon Aurora, Google Cloud SQL, and Microsoft Azure as a desired skillset
What companies use Amazon Aurora?
What companies use Google Cloud SQL?
What companies use Microsoft Azure?
What companies use Amazon Aurora?
What companies use Microsoft Azure?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with Amazon Aurora?
What tools integrate with Google Cloud SQL?
What tools integrate with Microsoft Azure?
What tools integrate with Amazon Aurora?
What tools integrate with Google Cloud SQL?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
Jan 15 2020 at 11:37AM
Rafay Systems
+8 3
974
+8 6
2862
+47 55
73206
+26 20
5172
+37 122
38432
What are some alternatives to Amazon Aurora, Google Cloud SQL, and Microsoft Azure?
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