Neo4j AuraDB Reviews

I was getting data from Hacker News to store it on Neo4j. I was running a cron job using Neo4j to scrape topics and comments from Hacker News every two hours. I ran that for at least a year and a half, but stopped recently. I wanted to see how stable and useful it was.

First, I liked that it was free. I also liked that you can run multiple languages with it. I can connect it to a Spring Boot app, a Python app, or a Go app. If I'm doing network correlation, graph or node analysis, I can easily connect my Google Colab to my Neo4j AuraDB account. Those are the things I like about it.

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

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

For things to improve, I think the GUI on the cloud needs improvement. If it's more intuitive, someone new to it can spend less time on tutorials and pick it up faster. The truth is, if your product is good, you spend less time on advertising. I take my inspiration from Telegram. Their product was so good they didn't need to spend much on advertising. It just grew on its own.

I have been using it for the last one and a half years. 

I've experienced it crashing a few times, but it's common with other products like Chrome or Firefox. So I understand that sometimes products require restarts. But outside of that, it's a very good tool.

It was for personal use. I got interested in the graph stack, which uses the Neo4j database as its backend. So it was more personal than for a company.

There were multiple reasons that I decided to go with Neo4j AuraDB rather than something else. Number one, it was cheap. 

Then, being able to run it on the cloud for a single node was appealing. The tools also made me choose Neo4j. 

There's a very good community around it, and the learning resources are easy to follow. They have useful blogs, and there's a product manager with a helpful YouTube channel. The community makes it very easy to use. That's one of the big selling points for me.

The initial setup is neither easy nor difficult. I've created both the on-premise app (downloaded directly from the website) and the AuraDB cloud version. The cloud version is simpler. I needed a short video clip on the website to install the on-premise Neo4j on my system.

The Cypher tutorial that comes with the on-premise Neo4j installation is thorough. 

I used the free tier.

If you want to use it for the first time, I'd advise you to go for the cloud version, AuraDB. 

If you want to use it as a company, at least using that, you can test if it fits your use case. As developers, we're trying to solve problems. The best way, the easiest way, the less painful way, and also the best way to maintain it is important. You might leave the company, and someone else needs to take over, and you want to spend less time setting them up so they succeed faster. I think they've done well with the AuraDB cloud section.

With the right tutorial, it is easy for a beginner to learn to use this tool for the first time. There are a lot of good tutorials available. I got into it from a Medium blog, and I've also tried creating tutorials myself. 

Overall, with my experience, I would rate it a nine out of ten, from one being bad to ten being the best.

I'm a research scholar, and I've learned cipher language for my research work. I've been using Neo4j AuraDB for that cipher language.

I'm also working on Python as a front-end language. Integrating the front-end language with Neo4j AuraDB is a very easy process. We can directly import packages and see the visualization in the Python interface. Neo4j AuraDB provides interfaces for languages other than Python, such as Java.

I have been using Neo4j AuraDB for three to four years.

We don't have to install Neo4j AuraDB. The solution provides a server, and we can use an online server to create the database. You may not have to install it on the local system or server. You can also have direct online access.

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

The solution's documentation has been well written. Sometimes, I look at different sources on the internet when I need help. Everything is available on the Neo4j website.

I attended the NODES workshop organized by the Neo4j community, where people from different backgrounds gave a very good lecture series. The lectures focused on which particular area and domain we can use Neo4j AuraDB as a database.

I would recommend the solution to other users. I have already recommended it to my colleagues working on different types of graphs. Some of my colleagues have started using Neo4j AuraDB and built a big graph. One of them has come up with a very nice social network graph.

I would definitely recommend Neo4j AuraDB to someone looking for an easy-to-use graphical database with a good user interface. The solution's visualization is very good, and you can use it to visualize property graphs and state-of-the-art knowledge graphs. Neo4j AuraDB has plenty of options in its repository.

Overall, I rate the solution eight and a half out of ten.

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.

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.

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.

I don't have any problems about the performance

Scalability is very good.

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.

It's very simple to create a cloud account, and it takes a few minutes to deploy.

ROI is nice because you can have an incredible return.

It has fair pricing.

The community is very nice, and you can find many things.

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.

It is a very difficult job to show the graph schema and understand a problem using the graph technique.Neo4j AuraDB is a very convenient tool for our team because it allows access to anyone invited to a project. Others can easily access the graph data if I invite people and train the schema.

The solution's most valuable features stem from its easy connection to other modules and integrations. Understanding graphs can be a very complex concept, as there are many other combination modules in it, like LangChain, the LLM module, and the data processing module. I think there are more than four modules that heavily rely on GraphRAG's implementation, but AuraDB's role is very good because everything is very convenient for our team in the cloud and graph database systems.

During the product's setup process, disconnections in the tool's network caused some problems, making the solution's stability an area of concern that requires improvements.

I have been using Neo4j AuraDB for a year. I am a customer of the tool.

Stability-wise, I rate the solution a seven out of ten.

I had to use the cloud system of the tool because our company had faced scalability issues. I used the database for small use cases involving graphs. The tool has issues stemming from the disconnection part that keeps occurring, which led to GraphRAG implementation issues.

Scalability-wise, I rate the solution a four out of ten.

I never had to contact the solution's technical support team.

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

The tool's enterprise edition is very expensive.

The tool is easy to use.

The tool offers very easy and convenient modules for our teams.

The tool does help handle data security and privacy concerns in our use cases. Our data is a very important factor for us in terms of privacy and security. I think the tool's modules are good. The product offers a text file for AuraDB's information. You should be careful with the text file because it includes information like URLs, passwords, and usernames.

I strongly recommend that people use the tool. I suggest others not be afraid of GraphRAG and databases on the cloud system. The tool is a very convenient source for a beginner of the graph database.

I did use the tool's AI capabilities. There are many important processes in the GraphRAG procedure, and among them, the graph construction was very important because, as per RAG, everything depends on the graph schema. We deal with the design for the graph, and then the tool can easily integrate into their traditional database. The cloud is very easy to access and manage.

I rate the tool a seven out of ten.