Amazon DynamoDB vs Neo4j AuraDB comparison

"Being serverless, it alleviates concerns about scalability and failover."

"We use the single table design pattern extensively since it helps us describe very complex patterns and data types on the table."

"We don't have to administer the tool."

"The latency feature is precious."

"Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance."

"The best feature of the solution is that it is a NoSQL database."

"The solution is very simple to use."

"The ability to store multiple data attributes is crucial. For example, in a contact flow, if a customer calls, we can integrate DynamoDB dynamically. We need only the customer's mobile number as the primary key, which is stored in the DynamoDB table."

"The tool is easy to use."

"From my experience, I particularly like the professional version. Initially, developers often start with the free variant. Once the project grows, we switch to the professional version, which offers multiple databases, expanded memory, and better scalability. This allows us to handle more data and use cloud scaling features."

"The most beneficial things in terms of AuraDB are its speed, its good pricing, the multi-cloud availability."

"Integrating the front-end language with Neo4j AuraDB is a very easy process."

"I like the idea of graphs and nodes and the possibilities Neo4j AuraDB offers."

"The most valuable features of Neo4j AuraDB include its flexible data model and broad language support."

"Maybe the documentation could be improved a bit. Sometimes, it's a little confusing, and people can easily be mistaken about DynamoDB."

"Previously, only 64 KB could be used, and later, I think, it was about 400 KB. If the tool could have an additional 10 MB to offer, then the tool could be easier to use."

"The solution's efficiency and performance should be faster than other databases."

"The primary key is quite slow."

"Currently, there is no option for a scheduled refresh in this solution. We want the data to be populated into DynamoDB on a timely basis. Currently, you have to go to the DynamoDB table and hit the refresh button to populate it with the new data. If you have connected DynamoDB to a BI application for creating visualizations with charts, graphs, or other things, you would want it to get updated as per the schedule so that you have updated visualizations in your BI application."

"It would be nice to have some AI features in DynamoDB."

"Having an import option, whether through browsing or local file uploads, would significantly improve the efficiency of data migration, enabling users to swiftly transfer large volumes of data into DynamoDB."

"The solution's interface is the biggest challenge because if you want to access DynamoDB, you need an AWS account."

"There’s room for improvement in Neo4j AuraDB, especially on the developer side. The learning curve can be steep, and the interface for developing and pushing code can be unnecessarily complex. It might be beneficial to simplify this process to help developers ramp up more quickly. Working with graph databases like Neo4j can be more challenging than standard databases, particularly for juniors and those new to graph technology. Streamlining the development process could make it easier for new users to get up to speed. This would be particularly useful for teams with less experience in graph databases. If I could add a feature to Neo4j AuraDB, I’d focus on improving the Bloom interface. It’s excellent for visualizing smaller datasets, but navigating through it becomes challenging as the data grows—say, past 100,000nodes. The interface works well for beginners but doesn’t scale effectively for more advanced users of large datasets. I want a UI that bridges the gap between the easy-to-use Bloom interface and more complex, text-based tools. This would help manage larger datasets more efficiently and improve performance."

"I've experienced it crashing a few times, so stability could be better."

"In terms of AuraDB, the conversations have always been around scalability."

"Some features can help if they can visualize graphs better."

"During the product's initial setup phase, there were some issues due to disconnections in the tool's network."

"It is costly. To reduce the costs, users need to read the node in front of it. For read-heavy groups, cache optimization can help manage costs.I can't disclose specific pricing, but it's competitive compared to others in the market, and this information is easily accessible online"

"The pricing is based on Lambda function usage. So, if a Lambda function is invoked with every call, and we receive 5,000 calls daily, that means 5,000 Lambda invocations."

"Its subscription cost is lower than similar databases offered by other vendors."

"The product is expensive"

"Given the services and benefits provided by AWS, the solution's pricing is average."

"It is a little expensive."

"For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive."

"Amazon DynamoDB is a cheap solution."

"Neo4j AuraDB is reasonably priced, especially considering it removes the need for cloud administration and associated costs. It's a good deal for the professional version, as it includes managed services, which reduces the overhead compared to setting up your own infrastructure. The cost can be higher for enterprise-scale projects, but that's often due to the scale and complexity of the project rather than the product itself. Startups sometimes overestimate their needs and jump to enterprise pricing too quickly, leading to higher costs than necessary."

"I am using an open-source version of Neo4j AuraDB."

"I used the free tier."

"The tool's enterprise edition is very expensive."