Users report that Berkeley DB 12c excels in data management with a strong data model rating of 8.8, while Amazon DynamoDB has a slightly lower rating of 8.4, indicating that Berkeley DB may offer more robust data structuring capabilities.
Reviewers mention that Amazon DynamoDB shines in scalability with a perfect score of 9.3, which is crucial for enterprises expecting rapid growth, whereas Berkeley DB 12c, while still strong, has a scalability rating of 9.2.
G2 users highlight that Berkeley DB 12c has a superior application performance rating of 9.0, suggesting that it may provide faster response times for applications compared to Amazon DynamoDB's performance rating of 8.4.
Users on G2 note that Amazon DynamoDB offers better auto recovery features with a rating of 8.9, which is essential for maintaining uptime, while Berkeley DB 12c matches this rating, indicating both products are reliable in this aspect.
Reviewers say that the quality of support for both products is commendable, with Berkeley DB 12c rated at 8.9 and Amazon DynamoDB at 8.7, suggesting that users can expect good assistance from both vendors.
Users report that Amazon DynamoDB's advanced data analytics capabilities are rated at 8.7, which may provide deeper insights compared to Berkeley DB 12c's analytics features, which are rated at 8.5, making DynamoDB potentially more appealing for data-driven decision-making.
Pricing
Entry-Level Pricing
Amazon DynamoDB
No pricing available
Berkeley DB 12c
No pricing available
Free Trial
Amazon DynamoDB
No trial information available
Berkeley DB 12c
No trial information available
Ratings
Meets Requirements
8.7
373
9.2
6
Ease of Use
8.7
376
8.9
6
Ease of Setup
8.9
169
Not enough data
Ease of Admin
8.8
162
Not enough data
Quality of Support
8.6
353
8.9
6
Has the product been a good partner in doing business?
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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
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