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Compare Amazon Timestream and Google Cloud Spanner 
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At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Enterprise (43.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Timestream
Star Rating
(22)3.7 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon TimestreamGoogle Cloud Spanner
Star Rating
(35)4.2 out of 5
Market Segments
Enterprise (43.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud SpannerSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud Spanner excels in ACID compliance with a score of 9.2, ensuring strong transactional integrity, while Amazon Timestream, although effective for time-series data, does not emphasize ACID transactions as heavily, which may be a concern for users needing strict data consistency.
- Reviewers mention that Google Cloud Spanner's data replication capabilities are robust, scoring 9.2, allowing for seamless data distribution across multiple regions, whereas Amazon Timestream's replication features are more limited, focusing primarily on time-series data without the same level of geographical redundancy.
- G2 users highlight that Amazon Timestream offers superior ease of setup with a score of 9.2, making it more accessible for teams looking to quickly implement a time-series database, while Google Cloud Spanner, with a score of 8.3, may require more configuration and understanding of its architecture.
- Users on G2 report that Google Cloud Spanner shines in storage capabilities with a perfect score of 9.5, accommodating large datasets efficiently, while Amazon Timestream, while optimized for time-series data, may not handle large-scale storage needs as effectively.
- Reviewers mention that Google Cloud Spanner's query language is highly rated at 8.9, providing a powerful SQL interface that appeals to developers, whereas Amazon Timestream's query capabilities are more specialized for time-series data, which may limit flexibility for users accustomed to traditional SQL.
- Users say that Amazon Timestream's anomaly detection features, scoring 8.1, are particularly beneficial for monitoring time-series data trends, while Google Cloud Spanner does not focus on this feature, which could be a deciding factor for users needing advanced analytics on time-series data.
Pricing
Entry-Level Pricing
Amazon Timestream
No pricing availableGoogle Cloud Spanner
No pricing availableFree Trial
Amazon Timestream
No trial information availableGoogle Cloud Spanner
No trial information availableRatings
Meets Requirements
8.5
13
8.7
24
Ease of Use
8.2
12
7.8
24
Ease of Setup
8.0
5
8.2
10
Ease of Admin
Not enough data
8.7
9
Quality of Support
8.1
13
8.6
20
Has the product been a good partner in doing business?
Not enough data
8.3
10
Product Direction (% positive)
6.1
12
8.4
22
Features by Category
Management
Not enough data
8.1
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Support
Not enough data
8.7
5
Not enough data
8.3
6
Not enough data
Not enough data
Not enough data
8.6
6
Security
Not enough data
8.7
5
Not enough data
8.7
5
Not enough data
9.4
6
Not enough data
9.2
6
Performance
Not enough data
7.8
6
Not enough data
9.2
6
Not enough data
8.9
6
Not enough data
7.5
6
Not enough data
8.7
5
Database Features
Not enough data
9.5
13
Not enough data
8.6
13
Not enough data
9.0
13
Not enough data
9.2
13
Not enough data
8.9
12
Not enough data
8.3
13
Not enough data
8.6
13
Configuration
Not enough data
8.2
10
Not enough data
7.6
9
Not enough data
7.3
10
Not enough data
8.1
8
Not enough data
8.1
8
Database Administration
Not enough data
8.2
10
Not enough data
6.3
10
Not enough data
7.0
10
Availability
Not enough data
8.8
10
Not enough data
6.7
9
Not enough data
7.0
10
Not enough data
8.1
9
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amazon Timestream and Google Cloud Spanner are categorized as Database as a Service (DBaaS)
Unique Categories
Amazon Timestream is categorized as Time Series Databases
Google Cloud Spanner is categorized as Relational Databases
Reviews
Reviewers' Company Size
Amazon Timestream
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Spanner
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
25.0%
Sports
5.0%
Sporting Goods
5.0%
Research
5.0%
Marketing and Advertising
5.0%
Other
55.0%
Information Technology and Services
20.0%
Computer Software
16.7%
Transportation/Trucking/Railroad
6.7%
Biotechnology
6.7%
Sports
3.3%
Other
46.7%
Alternatives
Discussions
Amazon Timestream has no discussions with answers
Google Cloud Spanner has no discussions with answers
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