Amazon Quantum Ledger Database (QLDB) vs. Google Cloud Spanner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon QLDB
Score 9.9 out of 10
N/A
Amazon QLDB (for Quantum Ledger Database) is a fully managed ledger database that provides what the vendor describes as a transparent, immutable, and cryptographically verifiable transaction log ‎owned by a central trusted authority. Amazon QLDB can be used to track each and every application data change and maintains a complete and verifiable history of changes over time. Notably, with QLDB data’s change history is immutable – it cannot be altered or deleted – and using cryptography, users can…
$0.03
Per GB-month
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 Quantum Ledger Database (QLDB)Google Cloud Spanner
Editions & Modules
Journal Storage
$0.03
Per GB-month
Read I/Os
$0.136
Per Million Requests
Inndexed Storage
$0.25
Per GB-month
Write I/Os
$0.70
Per Million Requests
No answers on this topic
Offerings
Pricing Offerings
Amazon QLDBGoogle 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 Quantum Ledger Database (QLDB)Google Cloud Spanner
Features
Amazon Quantum Ledger Database (QLDB)Google Cloud Spanner
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon Quantum Ledger Database (QLDB)
-
Ratings
Google Cloud Spanner
7.8
2 Ratings
9% 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 Quantum Ledger Database (QLDB)Google 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 Quantum Ledger Database (QLDB)Google Cloud Spanner
Likelihood to Recommend
-
(0 ratings)
7.4
(2 ratings)
User Testimonials
Amazon Quantum Ledger Database (QLDB)Google Cloud Spanner
Likelihood to Recommend
Amazon AWS
No answers on this topic
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
No answers on this topic
Google
  • Super high availability
  • Scales automatically
  • High standard SLA
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Cons
Amazon AWS
No answers on this topic
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
Amazon AWS
No answers on this topic
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
No answers on this topic
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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