I have used DynamoDB in dozen of projects, including the commercial medium-scale applications and University Research projects that included processing massive amount of data. DynamoDB is my go-to solution for NoSQL Databases, it is very easy to configure and the documentation is near perfect. An experienced Engineer who has worked with Databases before will grasp most of the features in a couple of weeks. DynamoDB is a fantastic solution that automatically scales and is able to process large amounts of data.

When used very intensely the cost do rise, but still the costs are comparable to other Cloud Providers' NoSQL solutions like Cassandra, GCP BigTable etc.

A great scaling NoSQL database on the AWS platform. Easy to administer once you're already using AWS. Integrates great with other services on the platform. Easy to configure security.

Limited data querying. High entry threshold. Requires understanding because of its differences. It's more difficult with integration when you're not using the AWS platform.

Easy to use tool which is fully managed and has a lot of documentation available. Continuously evolving tool with great scalabality. Integrates easily with a lot of other AWS tools

Cannot beat other no sql dbs in terms of functionalities. Cannot perform complex joins, cannot create views easily

Despite the learning curve, and some initial problems with unknowingly attempting to use reserved words as keys, DynamoDB has been stable and performant since it has been deployed to production.

DynamoDB and NoSQL databases in general are really flexible in terms of what and how you store your information. The JSON structure of data makes is easy to work with when integrating with other services like AWS Lambdas and AWS API Gateways.

There is a steep learning curve for someone coming from a SQL/relational database background. Lots of weird optimization tricks. AWS does not do a good job about letting you know if you accidentally use a reserved word (things just break).

I highly recommend Amazon DynamoDB for any application that requires fast and scalable NoSQL database services. Its ease of use, performance, and integration with other AWS services make it a top choice for many organizations. Just be aware of the costs associated with the service and plan accordingly.

One of the biggest benefits of DynamoDB is its scalability. You can easily scale up or down based on your needs, and the service will automatically handle the management and distribution of your data across multiple servers

While DynamoDB integrates well with other AWS services, it may be more difficult to integrate with non-AWS services or tools.

I like how it provides you quick and easy access to data that you need to query. How it stores data in a way that even users without an IT background can quickly have a grasp into is a great thing.

I like least about it is when querying a lot of data, it won't let you easily sort the dates to show the most recent unless you go over each page there is and go back to the first page.

I have used many databases including Relational databases and NoSQL database, so far DynamoDB handles all concerns regarding performance , scaling and ability to be integrated in my use cases.

1. High performance database with a latency of single digit in seconds 2. Fully managed, all security concerns handled by AWS. 3. Built to support Single Table design 4. Works with most used frameworks. 5. Offers ability of Global tables for scaling into multiple regions

Since it is not used for Analytical purpose, You really need to understand your data model and have clear access patterns to use DynamoDB at it maximum. If you want to aggregated data like counts of certain records , you need to use an external tool.

Using DynamoDB as our backend database, we save time by not spending too much resources on planning, provisioning, and troubleshooting resource constraints and issues. Instead, we're able to allocate that into actual development work.

DynamoDB scales very easily. We don't need to manage resources (CPU, memory, disk) like we used to when using relational databases.

Using data stored in DynamoDB for analytics is very difficult. Other than syncing data to a separate database for querying, I don't think there's a built-in option for this in DynamoDB.

+ Very easy to use API + fully managed and scalable + you only pay per use. There is no infrastructure cost + super fast as long as you use query API and not scan API

+ It's not as flexible as MongoDB when it comes to indexes. + Lack of stored procedures as in MongoDB

So far has been good wrt to storing and retrieving data. It is secured and the time taken to retrieve is relatively faster.

Amazon provides this NoSQL like DB which makes it easier to store and retrieve data. The documenation is well organized which makes it easier to develop applications using DynamoDB

The query structure seems to be a bit complicated for various fields. The expressions are limited and does not address all business requirements

Good performance for general storing and retrieving of key-value pair. Managed version has good scalability from AWS.

Need to know hacky way to further optimize the performance and you don't know if it breaks until you push it.

Serverless, fully managed, NoSQL, Schemaless, uses key-value pair to store data. Highly scalable and available database.

Doesn't provide ACID consistency. Need to improve on item size limits, page size limits and partition throughput limits.

Overall the experience have been very good. It's very easy to understand. We had switched from mongodb NoSql db to Amazon dynamodb and comparatively it was easy to migrate.

Amazon dynamodb is a NoSql db that supports key value pair. It is easy to configure and use in your java code through some function calls. The access control is excellent and we can easily provide restricted access to different type of users.

The size of data that dynamodb can store in one key value pair or an item is limited to 400 KB. For large data you have to rely on other storage like S3 and then use that referance location in your dynamodb. That should be supported out of the box in dynamodb.

Speed easy implementation user friendly.

Costly. Other competitors have much cheaper price than this.

Easy to use, speed, compatibility, good documentation for integration, data security. Can easily be integrated with other software.

The cost is a bit high but overall is worth it.

I prefer DynamoDb for implementing inexpensive serverless architecture

DynamoDB has multiple features which can be leveraged for nosql database. I use it within the serverless architecture and it is quite easy to implement in code. The response time of queries is quick and has higher throughput. Read/Write is also inexpensive

There is a learning curve for those who are not familiar with non rational databases. Also, DynamoDb doesnt support complex joins hence it always needs normalisation on data

It great to use, user friendly n easy access

East interface n user friendly , easy to install

Over priced , it could be little cheper

Great tool for managing nosql databases within AWS. Can integrate with a lot of other AWS tools. Queries run fast and is easy to implement

Can only work with AWS (cannot be deployed on local devices). Can be used only for simple queries.

Makes it easy for rapid prototyping and has become the database solution that we're using for many of our microservices.

The documentation is fantastic and it makes it so easy to get started and creating our proof of concepts.

Have no real complaints about DynamoDB, it works for us and is easy to use.