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Azure Database vs. Google Cloud Spanner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Database
Score 8.9 out of 10
N/A
Available on Microsoft's Azure, Azure Database is a managed cloud-based option for a variety of popular community and open source databases. Azure Database for PostgreSQL - Fully managed, intelligent, and scalable PostgreSQL Azure Database for MySQL - Scalable, open-source MySQL database Azure Database for MariaDB - Enterprise-ready, fully managed community MariaDB Azure's fully managed PostgreSQL database automates maintenance, patching, and updates.…N/A
Google Cloud Spanner
Score 5.6 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
Azure DatabaseGoogle Cloud Spanner
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure DatabaseGoogle Cloud Spanner
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Azure DatabaseGoogle Cloud Spanner
Considered Both Products
Azure Database
SM
Sanjoy Malik
Senior Database Administrator
Chose Azure Database
Azure Databases has the data migrating power, which is done with just a press of a button and instant results are attained. Azure Databases has the optimization of performance, which includes an AI, which is intelligent based. Azure Databases has the recent or advanced SQL …
Google Cloud Spanner
Anson Abraham | TrustRadius Reviewer
Anson Abraham
Data Czar
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 …
Verified User
Anonymous
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 …
Features
Azure DatabaseGoogle Cloud Spanner
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Azure Database
9.8
Ratings
15% above category average
Google Cloud Spanner
7.8
Ratings
8% below category average
Automatic software patching10.00 Ratings8.80 Ratings
Database scalability9.00 Ratings8.80 Ratings
Automated backups10.00 Ratings10.00 Ratings
Database security provisions10.00 Ratings5.80 Ratings
Monitoring and metrics10.00 Ratings5.80 Ratings
Automatic host deployment10.00 Ratings7.60 Ratings
Best Alternatives
Azure DatabaseGoogle Cloud Spanner
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure DatabaseGoogle Cloud Spanner
Likelihood to Recommend
10.0
(0 ratings)
7.4
(0 ratings)
User Testimonials
Azure DatabaseGoogle Cloud Spanner
Likelihood to Recommend
Azure Databases is suitable in situations where users require a cloud space, which holds or takes secure data and makes accessibility easy. More so, Azure Databases supports data migration, which is a professional process of data transfer. The analytical progress from Azure Databases is connected to AI power and has automated reporting.
SM
Sanjoy Malik
Senior Database Administrator
Read full review
If you have a large relational database and it is growing fast on daily basis, and if you have a strong need in ACID across all your clusters, and most importantly, if you need to maintain high availability in a large region, Google Cloud Spanner can be a very good choice.
Verified User
Anonymous
Read full review
Pros
  • Azure Databases is functional on cloud, giving the users flexibility and accessibility.
  • Azure Databases has a high storage space, and high speed processing power.
  • The tool is AI powered, hence, reputable for intelligent analysis.
SM
Sanjoy Malik
Senior Database Administrator
Read full review
  • Super high availability
  • Scales automatically
  • High standard SLA
Verified User
Anonymous
Read full review
Cons
  • Should develop a friendly and more intuitive dashboard and UI wizard
  • Create smart package for fair ratings/prices.
  • Improve on documentation and perfect the support response.
SM
Sanjoy Malik
Senior Database Administrator
Read full review
  • 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.
Anson Abraham | TrustRadius Reviewer
Anson Abraham
Data Czar
Read full review
Alternatives Considered
Azure Databases has the data migrating power, which is done with just a press of a button and instant results are attained. Azure Databases has the optimization of performance, which includes an AI, which is intelligent based. Azure Databases has the recent or advanced SQL power, which is easily configurable and allows a safe cloud storage.
SM
Sanjoy Malik
Senior Database Administrator
Read full review
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 more functionality than MongoDB and Amazon RDS & Azure Databases.
Anson Abraham | TrustRadius Reviewer
Anson Abraham
Data Czar
Read full review
Return on Investment
  • Database security is a positive ROI for users.
  • Undisputed cloud space, which control access, and smoothly accessible.
  • Automated backup, which fully declassify or eliminate data loss.
SM
Sanjoy Malik
Senior Database Administrator
Read full review
  • 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
Anson Abraham | TrustRadius Reviewer
Anson Abraham
Data Czar
Read full review
ScreenShots