My main use case for Neo4j AuraDB is solving water optimization problems for oil and gas operations.
Neo4j AuraDB helps us resolve those water optimization problems by allowing us to store knowledge we have about our business.
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Room for improvement in interface capabilities while rapidly solving domain-specific problems
What is our primary use case?
What is most valuable?
Neo4j AuraDB is a great tool for understanding connections between things.
The best features Neo4j AuraDB offers are that it is easy to quickly build a solution with their tooling.
Regarding the tooling, I love how fast it is that you can use NeoDash to quickly mock up a UI, and it is really nice that you can build a GraphQL endpoint to connect it to third-party applications, such as Retool or custom applications that we build for clients.
Neo4j AuraDB has impacted my organization positively as it has helped me solve problems much more quickly.
A specific example of a problem I solved more quickly with Neo4j AuraDB is that I was able to work with an LLM to build graph data models for domain-specific problems.
The collaboration with the LLM and Neo4j AuraDB sped up my process as I'm building a tool on top of Neo4j that allows me to control how I can access data in the graph, and Neo4j had a nice interface that allowed us to work with their underlying data model.
What needs improvement?
I would love to see a Retool type of interface builder with Neo4j AuraDB.
In that interface builder, all I need is a component inside Retool that can display a Neo4j graph, because currently, I can connect to the graph using a GraphQL endpoint on the Neo4j hosted Aura server, but the problem is when I get it on the other side, I can't see it other than in a table, so I want to be able to see it in a graph.
For how long have I used the solution?
I have been using Neo4j AuraDB for three years.
What do I think about the stability of the solution?
Neo4j AuraDB is totally stable.
What do I think about the scalability of the solution?
The scalability of Neo4j AuraDB seems fine to me.
How are customer service and support?
My experience with customer support has been positive. I think it's really good; I appreciate the company, they have nice people, and they seem professional.
How would you rate customer service and support?
Neutral
Which other solutions did I evaluate?
Before choosing Neo4j AuraDB, I evaluated other options including Neptune, Gremlin, TypeDB, and a couple of others.
What other advice do I have?
My advice to others looking into using Neo4j AuraDB is to consider how many graphs you can create as quickly as needed.
I think Neo4j AuraDB is doing some amazing things.
On a scale of 1-5, I rate Neo4j AuraDB a 5 out of 5.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Visualize data in interesting ways and identify communities at fair price
What is our primary use case?
I worked on a project focused on the quality of public menus, using Neo4j AuraDB to connect and create relationships between food items. This allowed us to visualize data in interesting ways and identify communities. A key feature was using the Green Dot to link unstructured data, such as investment information, with structured data from tables and PDFs. The AuraDB documentation was also helpful in making these connections and providing valuable insights.
What is most valuable?
The most valuable features of Neo4j AuraDB include its flexible data model and broad language support. It’s great that it offers a dedicated query language, which delivers excellent performance and high availability. Additionally, it’s hosted on AWS Cloud, which ensures reliability. The platform also allows for the integration of videos and other media.
What needs improvement?
Some features can help if they can visualize graphs better.
They have Neo4j Bloom, which is great for visualization. If you can visualize the graph directly within Neo4j AuraDB, that would also work well.
What do I think about the stability of the solution?
I don't have any problems about the performance
What do I think about the scalability of the solution?
Scalability is very good.
Which solution did I use previously and why did I switch?
I’ve used RDP before but prefer to start my analysis with Python and sometimes Neo4j Bloom. The most important feature is that Neo4j is a powerful graph database, enabling faster and more efficient analysis.
How was the initial setup?
It's very simple to create a cloud account, and it takes a few minutes to deploy.
What was our ROI?
ROI is nice because you can have an incredible return.
What's my experience with pricing, setup cost, and licensing?
It has fair pricing.
Which other solutions did I evaluate?
The community is very nice, and you can find many things.
What other advice do I have?
Neo4j AuraDB is a powerful graph database that enables us to accomplish impressive tasks. Specifically, as a cloud-based service, it eliminates the need for a high-performance computer to use it.
Sometimes, I collaborate with Smiths when working with large amounts of information. To streamline the process, I often use a chatbot agent plugin, which allows me to respond quickly in real-time, improving the overall user experience.
I've been using this chatbot agent for investment-related projects, but my first project focused on maintenance and public school menus. This initial project is more important because it involves public schools, children, and food insecurity. Conducting this analysis and developing the AI project with Neo4j could lead to meaningful results in the future. We can improve the accuracy of the model by providing context. I can't supply the necessary context if I use traditional methods, like vector regression. However, by creating a knowledge graph in Neo4j AuraDB, I can offer this context to the model, leading to better accuracy and performance.
It's very easy to maintain it.
It's an incredible tool that is quick to use and delivers impressive results. Many people should give Neo4j AuraDB a try. It's a very effective graph database.
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