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HPE - Neo4j experience
What do you like best about the product?
Ahead of all graph databases in many aspects:
spark connector, advanced cypher, graphql library
Scalable, performant, reliable
spark connector, advanced cypher, graphql library
Scalable, performant, reliable
What do you dislike about the product?
costlier as compared to other graph databases
What problems is the product solving and how is that benefiting you?
ingesting data through spark
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Using neo4j in academic and commercial settings
What do you like best about the product?
I have tended to work with ontology data over the years. This data does not lend itself to RDBMS. Neo4j provides an excellent resource for storing the data, querying, and building applications on top of ontology data. I have used the community edition while working in academia with much success. There is just enough information on the web to get something up and running without direct sales support. I have moved to a commercial setting recently. We are exploring how to use neo4j to add an important element to our query engine.
What do you dislike about the product?
There seems to be a lot of pain involved in upgrading the neo4j system between versions (ex: 4.1->4.2->4.3). The upgrade path is brittle and very error prone. Simplifying this process is very important. I do not think the upgrade path should necessarily allow users to "skip" versions as part of the upgrade, but I think some of the steps could be automated.
What problems is the product solving and how is that benefiting you?
I want to build a graph of biological relationships (ex: genes, proteins, etc.) on top of flat file data from our clients. The goal is to augment their biological data with publicly available data to provide comprehensive insights into their data.
Great database, but there are still some issues
What do you like best about the product?
Neo4j has an opensoruce version. Support is good and the community around this database is pretty big. Cypher QL is easy to learn and use. Neo4j browser is user-friendly and has a lot of setting for both new and experienced customers.
What do you dislike about the product?
There are still some annoying bugs, like queries that can't be terminated by the kill command, in one of the recent versions I couldn't have more than 1 tabs open at the same time, etc.....
What problems is the product solving and how is that benefiting you?
I'm using Neo4j at work to store information about product catalog items and their relationships. We've got millions of nodes and hundreds of millions of relationships in our catalog, and Neo4j has proven its ability to easily handle it.
Best-In-Class Graph Database With a Gentle Learning Curve
What do you like best about the product?
I have been working with Neo4j professionally since 2020, primarily for the construction of knowledge graphs for regulatory reporting. Lots of things to like about the platform:
* Plenty of quickstart tools - particularly the Bloom browser, the desktop client, and Python tutorials make it easy to pick up as your first graph DB. It's a very accessible tool.
* Rich connector ecosystem for APIs, data sources, and data science capabilities.
* Speed of execution (vs. solving the same problem in a relational database).
* Plenty of quickstart tools - particularly the Bloom browser, the desktop client, and Python tutorials make it easy to pick up as your first graph DB. It's a very accessible tool.
* Rich connector ecosystem for APIs, data sources, and data science capabilities.
* Speed of execution (vs. solving the same problem in a relational database).
What do you dislike about the product?
Not many negatives here. The managed offering (Aura) could be a bit more backward-compatible - as it stands, it is VERY forward-looking and as a result, it does not support older Neo4j versions (==3.x) or the bolt:// protocol. It would be good to see Neo4j 3.x on Aura, as this is the version that a popular OSS data catalog tool (Amundsen) requires.
What problems is the product solving and how is that benefiting you?
Knowledge graphs - specifically, uncovering relationships between regulatory requirements/questions that are being asked by Environmental, Social, and Governance (ESG) regulatory bodies.
Best graph database
What do you like best about the product?
It's very efficient on large datasets to support the multiple relations between the nodes. In addition, it provides very good graphical representation and interactive UI to analyze or present a dataset.
What do you dislike about the product?
Not so easy to configure and when the number of relations grows a lot, the general graph becomes very complex to analyze.
What problems is the product solving and how is that benefiting you?
neo4j helps me to handle a huge volume of data (events) and creates relations between them. In the end, with a connected graph of all events, it helps me a lot to debug some events in my event-driven platform.
Recommendations to others considering the product:
It is the best option for relational problems.
Great database solution
What do you like best about the product?
Neo4j Database is easy to use scalable and flexible as well. Also it did not take a lot time for me to learn Neo4j. Also I have recommended some of my colleague to use the same.
What do you dislike about the product?
As of first time it took some time to understand as I am a front end developer. But later it was very smooth to use.
What problems is the product solving and how is that benefiting you?
As I am a front end android developer and I am working over some idea. The new database is helping me out with database.
Recommendations to others considering the product:
Yes you can go for it and give it a try
Graph based querying tool
What do you like best about the product?
It is very convenient to write a complex query with very ease way.
What do you dislike about the product?
it has less resource for learning. there should be a video series on updates and new learning feature
What problems is the product solving and how is that benefiting you?
I tried to learn from officially website and implemented in one of my project
Neo4j for ontology based KB generation
What do you like best about the product?
I've used neo4j for ontology-based KB generation task. So far, I have found neo4j graph-based data representation to be the best fit for such tasks. Apart from that, neo4j easy to learn and operate with.
What do you dislike about the product?
Neo4j master-slave architecture, writes are always done on master. Overall write-performance issues relative to SQL databases. Garbage collection pauses.
What problems is the product solving and how is that benefiting you?
I've used neo4j for the ontology-based KB generation task. The knowledge base consists of health care data with ontology representation as disease, symptoms, medication, organ/part of body associated etc along with their respective data and their relationship with each other. applying different graph-ml algorithm (like decision trees) on available data in graph to get a good accuracy of diagnosis. This also focuses on Knowledge Validation, Inferencing and Explanation/ Justification process of knowledge Engineering to maintain our healthcare knowledge base. Currently, we do not have CCDA’s available with information of symptom of patients (chief complaint, the reason for visit, etc.). For the time being, we are collecting data from online sources and will use that to symptom-based disease diagnosis.Healthcare KB generation of clinical data using cTAKES NLP and Neo4j.
As name of the project suggests "all men must serve", demo code of the project is available publically in the link. So far, I have found neo4j graph based data representation to be the best fit for such tasks.
As name of the project suggests "all men must serve", demo code of the project is available publically in the link. So far, I have found neo4j graph based data representation to be the best fit for such tasks.
Recommendations to others considering the product:
If you think your problem can be solved by graph based data, neo4j is worth a try
Rich community, robust and scalable
What do you like best about the product?
Very good interactive UI. very efficient on large datasets to support the multiple relations between the nodes.
What do you dislike about the product?
Sometimes hard to visualize complex data analyses. Automatic backups could be improved
What problems is the product solving and how is that benefiting you?
IoT device simulation and visualization.
Neo4J review
What do you like best about the product?
I like a lot trying to improve graph language
What do you dislike about the product?
For a moment now all thing that I like a lot
What problems is the product solving and how is that benefiting you?
It's helping to build fast graph databases
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