Google Cloud Spanner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Spanner
Score 6.3 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
Google Cloud Spanner
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
Google Cloud Spanner
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details—
More Pricing Information
Community Pulse
Google Cloud Spanner
Considered Both Products
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
Google Cloud Spanner
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google Cloud Spanner
7.8
2 Ratings
11% below category average
Automatic software patching8.82 Ratings
Database scalability8.82 Ratings
Automated backups10.01 Ratings
Database security provisions5.82 Ratings
Monitoring and metrics5.82 Ratings
Automatic host deployment7.62 Ratings
Best Alternatives
Google Cloud Spanner
Small Businesses
SingleStore
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Score 9.8 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.8 out of 10
Enterprises
SingleStore
SingleStore
Score 9.8 out of 10
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User Ratings
Google Cloud Spanner
Likelihood to Recommend
7.4
(2 ratings)
User Testimonials
Google Cloud Spanner
Likelihood to Recommend
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
Google
  • Super high availability
  • Scales automatically
  • High standard SLA
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Cons
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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Alternatives Considered
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
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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