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<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 8.6 out of 100
Based on 95 reviews and ratings
Likelihood to Recommend
It is ideal for those projects where you need to store a large amount of data, but you do not know how many will be so you need the database to increase its storage capacity together with the number of users, without having to spend extra money, it also has a great potential thanks to the fast connection it offers, so the data travels at high speed, and this speeds up the performance of the applications, excellent for projects where non-relational databases are used and what matters is to store large quantities of information and use them at high speed.
Feature Rating Comparison
Data model flexibility
Deployment model flexibility
- It's very easy to get started, creating a table with a partition/sort key and you're on your way.
- You can scale up and down your read/write IO as needed.
- You can store structured and unstructured data.
- It works great with Web Development as it's JSON based.
- Complex searching (no support for case-insensitive or full-text search).
- Only supports up to two-key indexes.
- Requires choosing the indexes up-front when doing searches.
- Does not have an SQL compatible query front-end.
- No join-table support (requires putting all data into one table).
Likelihood to Renew
Amazon DynamoDB 8.9
Based on 34 answers
We will most likely continue to use DynamoDB for certain use-cases. If we stopped using DynamoDB as often, it would likely be because we started using Aurora Serverless more. Aurora Serverless may offer similar availability, management and cost benefits while allowing developers to use their MySQL tools and experience.
Engineer in EngineeringResearch Company, 11-50 employees
We evaluated using MongoDB or Amazon DyanmoDB. For us, the biggest advantage is that there's no maintenance cost for Amazon DynamoDB. Mongo gets complicated when you setup sharding. With Amazon DynamoDB, it's literally a push of button to increase throughput. This saves time and money on DevOps resources.
Engineer in EngineeringComputer Software Company, 11-50 employees
Return on Investment
- Since the Amazon manages the instance, the amount of time a developer needs to spend configuring the database is less. For comparison, if we were to manage the same instance manually, we need to set up EC2 instance, install the DB, setup backup scripts, track backup failures, which is a great overhead for the dev. Using DynamoDB this overhead is reduced and hence having a great ROI.
- Great documentation and easy setup makes an easy learning curve to transition to DynamoDB. Only caveat is as with any database, the data structure should be thoroughly analyzed for types of querying because there are limitations with the DynamoDB API.
- Ties very well with rest of the Amazon eco system. Having rest of the applications in Amazon allows managing the application security a breeze.