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Google Cloud Spanner

Google Cloud Spanner

Overview

What is Google Cloud Spanner?

Google Cloud Spanner is a cloud database-as-a-service product offered as a service on Google Cloud Platform (GCP).

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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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What is Google Cloud Spanner?

Google Cloud Spanner is a cloud database-as-a-service product offered as a service on Google Cloud Platform (GCP).

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Alternatives Pricing

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What is Amazon RDS?

Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.

What is Google BigQuery?

Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.

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Product Details

What is Google Cloud Spanner?

Google Cloud Spanner is a cloud database-as-a-service product offered as a service on Google Cloud Platform (GCP).

Google Cloud Spanner Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(13)

Reviews

(1-2 of 2)
Companies can't remove reviews or game the system. Here's why
Anson Abraham | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Google Spanner is being used as a relational database in comparison to Amazon RDS. The issues we're having with Amazon RDS is scalability horizontally. We need a db for transactional use which is leaning towards the OLTP end. Amazon RDS helps us to a certain extent. Google Cloud Spanner was tested out for scalability, since we hit limits with Amazon RDS. The usage is used by the company product used internally and with consumers.
  • Scalability
  • Sharding
  • Interleaved Tables
  • Cross Table Transactional Support
  • 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.
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.
Database-as-a-Service (5)
56%
5.6
Automatic software patching
80%
8.0
Database scalability
80%
8.0
Database security provisions
30%
3.0
Monitoring and metrics
30%
3.0
Automatic host deployment
60%
6.0
  • 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
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.
Azure Databases, MongoDB, Amazon Relational Database Service (RDS), MySQL, PostgreSQL, Azure Cosmos DB
Score 8 out of 10
Vetted Review
Verified User
Incentivized
As our business grows rapidly, we need a database that can enable us to have [the] capacity in scaling and availability and it also needs to be [a] relational database. At that time we are already a Google Cloud Platform customer and after some researches, we think Google Cloud Spanner can give us both.
  • Super high availability
  • Scales automatically
  • High standard SLA
  • Lack MySQL support.
  • Cannot edit the table on the fly.
  • Kind of high learn curve to migrate.
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.
Database-as-a-Service (6)
100%
10.0
Automatic software patching
100%
10.0
Database scalability
100%
10.0
Automated backups
100%
10.0
Database security provisions
100%
10.0
Monitoring and metrics
100%
10.0
Automatic host deployment
100%
10.0
  • It increased our database availability.
  • It improved our database performance.
  • We do not have to maintain a database cluster anymore.
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.
BigTable, Google BigQuery, Amazon Relational Database Service (RDS), Confluent Platform
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