Amazon Relational Database Service (RDS) vs. Google Cloud Spanner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon RDS
Score 8.7 out of 10
N/A
Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.N/A
Google Cloud Spanner
Score 5.9 out of 10
N/A
Google Cloud Spanner is a cloud database-as-a-service product offered as a service on Google Cloud Platform (GCP).N/A
Pricing
Amazon Relational Database Service (RDS)Google Cloud Spanner
Editions & Modules
Amazon RDS for PostgreSQL
$0.24 ($0.48)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for MariaDB
$0.25 ($0.50)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for MySQL
$0.29 ($0.58)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for Oracle
$0.482 ($0.964)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for SQL Server
$1.02 ($1.52)
per hour, R5 Large (R5 Extra Large)
No answers on this topic
Offerings
Pricing Offerings
Amazon RDSGoogle Cloud Spanner
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon Relational Database Service (RDS)Google Cloud Spanner
Considered Both Products
Amazon RDS

No answer on this topic

Google Cloud Spanner
Chose Google Cloud Spanner
Spanner scales quickly compared to Amazon RDS. Azure Database is about the same as well. MongoDB can scale to horizontal scalability, however, because Mongo doesn't support full ACID, Spanner comes into that aspect. GCP Cloud SQL not as scalable as Spanner. Spanner has …
Chose Google Cloud Spanner
At that point, we were looking at something [that] can hold our relational database, [...] provide stable connection, and maintain high ACID transition. BigTable is for nonrelational database so it was out of our [sight] very quickly. BigQuery is a data warehouse that can hold …
Top Pros
Top Cons
Features
Amazon Relational Database Service (RDS)Google Cloud Spanner
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon Relational Database Service (RDS)
-
Ratings
Google Cloud Spanner
7.8
2 Ratings
11% below category average
Automatic software patching00 Ratings8.82 Ratings
Database scalability00 Ratings8.82 Ratings
Automated backups00 Ratings10.01 Ratings
Database security provisions00 Ratings5.82 Ratings
Monitoring and metrics00 Ratings5.82 Ratings
Automatic host deployment00 Ratings7.62 Ratings
Best Alternatives
Amazon Relational Database Service (RDS)Google Cloud Spanner
Small Businesses
Google Cloud SQL
Google Cloud SQL
Score 8.8 out of 10
IBM Cloudant
IBM Cloudant
Score 7.7 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 8.8 out of 10
IBM Cloudant
IBM Cloudant
Score 7.7 out of 10
Enterprises
SAP IQ
SAP IQ
Score 10.0 out of 10
IBM Cloudant
IBM Cloudant
Score 7.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon Relational Database Service (RDS)Google Cloud Spanner
Likelihood to Recommend
8.7
(130 ratings)
7.4
(2 ratings)
Likelihood to Renew
8.4
(5 ratings)
-
(0 ratings)
Usability
8.4
(7 ratings)
-
(0 ratings)
Availability
9.0
(1 ratings)
-
(0 ratings)
Performance
7.0
(1 ratings)
-
(0 ratings)
Support Rating
9.6
(13 ratings)
-
(0 ratings)
Online Training
10.0
(1 ratings)
-
(0 ratings)
Product Scalability
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Amazon Relational Database Service (RDS)Google Cloud Spanner
Likelihood to Recommend
Amazon AWS
If your application needs a relational data store and uses other AWS services, AWS RDS is a no-brainer. It offers all the traditional database features, makes it a snap to set up, creates cross-region replication, has advanced security, built-in monitoring, and much more at a very good price. You can also set up streaming to a data lake using various other AWS services on your RDS.
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Google
Google Cloud Spanner is suited for limitless horizontal scaling while maintaining strong consistency which needs to support ACID. NoSQL databases work in scaling but no ACID support. RDBMS support ACID, but horizontal scaling is not as great. The API it provides result in some limitations to related areas of the code, such as connection pools or database linking framework. So high # of connection pools can vary.
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Pros
Amazon AWS
  • Automated Database Management: We use it for streamlining routine tasks like software patching and database backups.
  • Scalability on Demand: we use it to handle traffic spikes, scaling both vertically and horizontally.
  • Database Engine Compatibility: It works amazingly with multiple database engines used by different departments within our organization including MySQL, PostgreSQL, SQL Server, and Oracle.
  • Monitoring: It covers our extensive monitoring and logging, and also has great compatibility with Amazon CloudWatch
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Google
  • Super high availability
  • Scales automatically
  • High standard SLA
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Cons
Amazon AWS
  • It is a little difficult to configure and connect to an RDS instance. The integration with ECS can be made more seamless.
  • Exploring features within RDS is not very easy and intuitive. Either a human friendly documentation should be added or the User Interface be made intuitive so that people can explore and find features on their own.
  • There should be tools to analyze cost and minimize it according to the usage.
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Google
  • Support for Views
  • Support for more databases (schemas).
  • More index types that can be supported (Functional)
  • Backups (ie table/data backup) if data is deleted or truncate by accident.
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Likelihood to Renew
Amazon AWS
We do renew our use of Amazon Relational Database Service. We don't have any problems faced with RDS in place. RDS has taken away lot of overhead of hosting database, managing the database and keeping a team just to manage database. Even the backup, security and recovery another overhead that has been taken away by RDS. So, we will keep on using RDS.
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Google
No answers on this topic
Usability
Amazon AWS
I've been using AWS Relational Database Services in several projects in different environments and from the AWS products, maybe this one together to EC2 are my favourite. They deliver what they promise. Reliable, fast, easy and with a fair price (in comparison to commercial products which have obscure license agreements).
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Google
No answers on this topic
Support Rating
Amazon AWS
I have only had good experiences in working with AWS support. I will admit that my experience comes from the benefit of having a premium tier of support but even working with free-tier accounts I have not had problems getting help with AWS products when needed. And most often, the docs do a pretty good job of explaining how to operate a service so a quick spin through the docs has been useful in solving problems.
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Google
No answers on this topic
Online Training
Amazon AWS
the online training & digital content available on the web from AWS was having sufficient information to deploy and run the service
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Google
No answers on this topic
Alternatives Considered
Amazon AWS
Amazon Relational Database Service (RDS) stands out among similar products due to its seamless integration with other AWS services, automated backups, and multi-AZ deployments for high availability. Its support for various database engines, such as MySQL, PostgreSQL, and Oracle, provides flexibility. Additionally, RDS offers managed security features, including encryption and IAM integration, enhancing data protection. The pay-as-you-go pricing model makes it cost-effective. Overall, Amazon RDS excels in ease of use, scalability, and a comprehensive feature set, making it a top choice for organizations seeking a reliable and scalable managed relational database service in the cloud.
Read full review
Google
At that point, we were looking at something [that] can hold our relational database, [...] provide stable connection, and maintain high ACID transition. BigTable is for nonrelational database so it was out of our [sight] very quickly. BigQuery is a data warehouse that can hold huge amount of data but not ideal for transition. AWS RDS is [...] similar to Spanner but because most of our services are already on GCP, so we went with Spanner.
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Return on Investment
Amazon AWS
  • The overall cost increases, but we spect this and we can mitigate other risks.
  • Is easy to work from the cloud. Is reliable, but we keep our local solution as well where RDS works quite good.
  • RDS allow us to focurs on owr objetives instead of the other matters regarding databases.
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Google
  • Backups specifically if transactional data is deleted. Restoring made us lose time.
  • Sharding on Horizontal level was quick and easy. Deployment and increasing nodes is easy
  • Large dataset handling.
  • ACID compliance
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ScreenShots

Amazon RDS Screenshots

Screenshot of A look inside the RDS console.