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Amazon OpenSearch Service vs. Google Cloud Spanner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon OpenSearch Service
Score 0.0 out of 10
N/A
Amazon OpenSearch Service is an AWS-managed service offering OpenSearch clusters.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
Amazon OpenSearch ServiceGoogle Cloud Spanner
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon OpenSearch ServiceGoogle 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
Amazon OpenSearch ServiceGoogle Cloud Spanner
Considered Both Products
Amazon OpenSearch Service

No answer on this topic

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
Amazon OpenSearch ServiceGoogle Cloud Spanner
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon OpenSearch Service
-
Ratings
Google Cloud Spanner
7.8
Ratings
9% below category average
Automatic software patching00 Ratings8.80 Ratings
Database scalability00 Ratings8.80 Ratings
Automated backups00 Ratings10.00 Ratings
Database security provisions00 Ratings5.80 Ratings
Monitoring and metrics00 Ratings5.80 Ratings
Automatic host deployment00 Ratings7.60 Ratings
Best Alternatives
Amazon OpenSearch ServiceGoogle 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
Amazon OpenSearch ServiceGoogle Cloud Spanner
Likelihood to Recommend
-
(0 ratings)
7.4
(0 ratings)
User Testimonials
Amazon OpenSearch ServiceGoogle Cloud Spanner
Likelihood to Recommend
No answers on this topic
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
No answers on this topic
  • Super high availability
  • Scales automatically
  • High standard SLA
Verified User
Anonymous
Read full review
Cons
No answers on this topic
  • 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
No answers on this topic
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
No answers on this topic
  • 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