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Compare Amazon DynamoDB and Google Cloud BigTable 
At a Glance
Market Segments
Mid-Market (34.7% of reviews)
Small-Business (33.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon DynamoDB
Star Rating
(622)4.4 out of 5
Market Segments
Mid-Market (34.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon DynamoDBGoogle Cloud BigTable
Star Rating
(68)4.6 out of 5
Market Segments
Small-Business (33.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud BigTableSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigTable excels in data replication with a score of 9.1, which reviewers mention contributes to its reliability for large-scale applications. In contrast, Amazon DynamoDB has a slightly lower score of 8.9, indicating that while it is still effective, it may not match the robustness of BigTable in this area.
- Reviewers mention that Amazon DynamoDB shines in application performance, scoring 9.0 compared to Google Cloud BigTable's 8.2. Users say that DynamoDB's performance optimization features, such as its integrated cache, significantly enhance speed and efficiency for real-time applications.
- G2 users highlight that Google Cloud BigTable has a strong data model and data types support, both scoring 8.4, which is crucial for users needing flexibility in handling various data formats. Conversely, Amazon DynamoDB scores higher in data types at 8.9, indicating a broader range of supported data types, which users find beneficial for diverse applications.
- Users on G2 report that Amazon DynamoDB offers superior backup and archiving capabilities, with scores of 9.0 and 8.7 respectively, compared to Google Cloud BigTable's 7.8 and 7.2. Reviewers mention that these features are essential for businesses that prioritize data recovery and long-term storage solutions.
- Reviewers mention that both products have similar scores for auto recovery and auto sharding, both at 8.9, indicating that users can expect reliable availability features from both platforms. However, users say that Google Cloud BigTable's data replication feature gives it an edge in maintaining data integrity during outages.
- Users report that Amazon DynamoDB's security features, including role-based authorization and authentication, score slightly higher at 9.1 and 9.0 respectively, compared to Google Cloud BigTable's 8.9 and 9.0. Reviewers mention that these security measures are critical for enterprises handling sensitive data, making DynamoDB a more appealing choice for security-conscious organizations.
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Pricing
Entry-Level Pricing
Amazon DynamoDB
No pricing availableGoogle Cloud BigTable
No pricing availableFree Trial
Amazon DynamoDB
No trial information availableGoogle Cloud BigTable
No trial information availableRatings
Meets Requirements
8.8
464
9.0
54
Ease of Use
8.6
469
8.8
54
Ease of Setup
8.9
218
8.9
25
Ease of Admin
8.8
208
8.7
14
Quality of Support
8.7
446
8.3
50
Has the product been a good partner in doing business?
9.0
199
8.5
13
Product Direction (% positive)
9.1
430
9.3
53
Features by Category
Data Management
8.4
129
|
Verified
Not enough data
8.4
132
|
Verified
Not enough data
Availability
8.7
103
|
Verified
Not enough data
8.9
112
|
Verified
Not enough data
9.1
114
|
Verified
Not enough data
Performance
8.5
101
|
Verified
Not enough data
Security
8.9
118
|
Verified
Not enough data
9.0
117
|
Verified
Not enough data
8.5
111
|
Verified
Not enough data
8.8
108
|
Verified
Not enough data
Support
8.3
100
|
Verified
Not enough data
8.6
100
|
Verified
Not enough data
Data Management
8.7
85
Not enough data
8.9
87
Not enough data
8.5
80
Not enough data
8.5
70
Not enough data
Availability
8.6
73
Not enough data
8.9
75
Not enough data
8.9
80
Not enough data
Performance
8.4
82
Not enough data
Security
8.9
79
Not enough data
9.1
77
Not enough data
8.5
71
Not enough data
8.8
73
Not enough data
Support
8.5
67
Not enough data
8.4
68
Not enough data
8.4
54
Not enough data
Storage
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Storage
Not enough data
Not enough data
Scalability
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Wide Column Database
Not enough data
Not enough data
Configuration
9.0
164
8.2
12
8.7
150
7.6
11
8.9
158
7.6
11
8.4
128
6.8
11
9.0
139
7.3
10
Database Administration
8.8
138
7.8
9
8.9
127
7.5
10
8.6
122
7.6
9
Availability
9.3
162
8.6
12
9.0
155
7.8
10
8.7
142
7.2
9
8.8
152
7.4
12
Security
8.8
88
Not enough data
9.0
101
Not enough data
8.8
90
Not enough data
Data Management
8.9
109
Not enough data
8.7
91
Not enough data
Database Features
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amazon DynamoDB and Google Cloud BigTable are categorized as Database as a Service (DBaaS)
Unique Categories
Amazon DynamoDB is categorized as Document Databases and Key Value Databases
Google Cloud BigTable is categorized as Time Series Databases, Columnar Databases, and Wide Column Database
Reviews
Reviewers' Company Size
Amazon DynamoDB
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigTable
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
26.5%
Information Technology and Services
18.8%
Financial Services
7.5%
Banking
3.2%
Hospital & Health Care
3.1%
Other
40.9%
Information Technology and Services
22.6%
Computer Software
11.3%
Financial Services
8.1%
Retail
4.8%
Marketing and Advertising
4.8%
Other
48.4%
Most Helpful Reviews
Amazon DynamoDB
Most Helpful Favorable Review
Alex M.
Verified User in Research
As far as getting started, it's hard to beat Dyanmo, open the AWS console, make a new table, and start putting data in it from the command line or the various client libraries. The pricing is very simple - the more throughput you want the more you pay. the...
Most Helpful Critical Review
RAM S.
Verified User in Computer Software
At time it causes so much of problem when data scaling happens and its too costly.
Google Cloud BigTable
Most Helpful Favorable Review
Pankaj S.
Verified User in Internet
It's a managed service of BigData DB by Google with great SLAs. Now we don't need to manage yet another DB (HBase) on our own. It's a managed service of BigData DB by Google with great SLAs. Now we don't need to manage yet another DB (HBase) on our own....
Most Helpful Critical Review
Verified User in Hospital & Health Care
No good tooling around for monitoring and visualizing keys. Requires a prior key design, it's not a disadvantage per se, but the thinking model to design your database would be different than a SQL option.
Alex M.
Verified User in Research
As far as getting started, it's hard to beat Dyanmo, open the AWS console, make a new table, and start putting data in it from the command line or the various client libraries. The pricing is very simple - the more throughput you want the more you pay. the...
Pankaj S.
Verified User in Internet
It's a managed service of BigData DB by Google with great SLAs. Now we don't need to manage yet another DB (HBase) on our own. It's a managed service of BigData DB by Google with great SLAs. Now we don't need to manage yet another DB (HBase) on our own....
RAM S.
Verified User in Computer Software
At time it causes so much of problem when data scaling happens and its too costly.
Verified User in Hospital & Health Care
No good tooling around for monitoring and visualizing keys. Requires a prior key design, it's not a disadvantage per se, but the thinking model to design your database would be different than a SQL option.
Alternatives
Discussions
What is Amazon DynamoDB describe an application that can benefit from Amazon Dynamodb?
3 comments
PS
Thank you.Read more
Which of the following is a feature of DynamoDB?
3 comments
HS
Indeed, it is a managed database service. Stores the documents in key value format. Choosing the primary key is very important to derive optimum value from...Read more
What is the most complex usage of dynamodb?
2 comments
FH
G2 is not honest.
I wrote 4 detailed reviews because I should win a $10 Amazon gift card for each review. According to G2 dashboard, my reviews reached...Read more
What is Google Cloud BigTable used for?
1 comment
SM
Google Cloud Bigtable is a fully managed NoSQL database service provided by Google Cloud Platform (GCP).
It is used for handling huge volumes of data...Read more
Google Cloud BigTable has no more discussions with answers
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