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Best Graph Database for your data pattern insight and ML workload
What do you like best about the product?
the cypher syntax of neo4j is really great for beginners, it is as similar as human communicating with db in english langauage. it's just that we have to express in a correct manner for e.g if i want to retrieve all the persons with a gender male it's cypher syntax will be
Match (p: Person { Gender:"Male"} ) return p )
Neo4j's Browser and Bloom feature gives business stakeholder and data scientist/analyst to analyze their data which i think currently no other database give at this moment
and on top of that they have their own graph data science library which gives feasibility in developing application such as link prediction, recommendation system, chatbots
Match (p: Person { Gender:"Male"} ) return p )
Neo4j's Browser and Bloom feature gives business stakeholder and data scientist/analyst to analyze their data which i think currently no other database give at this moment
and on top of that they have their own graph data science library which gives feasibility in developing application such as link prediction, recommendation system, chatbots
What do you dislike about the product?
I think they should add more compute storage for Aura DB, as our system can load 100s of GB data in neo4j , but currently i dont see any option for
What problems is the product solving and how is that benefiting you?
I have expertise in building analytical solution which speaks insights from client data , it's amazing speed of retrieval from billions of nodes and relationships is one of the reason for choosing neo4j for big data and complex relationship analysis. to be more specific we have used neo4j aura 8gb ram instance which gives us feasibility to store millions of nodes and relationships and the best thing about is infrastructure is completely managed by neo4j aura. clients are able to take better business decision based on the visual representation of nodes and relationships, we use neovis.js library for representing these data in the form of nodes and relationship and abstracting the technical logic and ensuring the security of data layer and then using algorithms like Fast RP Embeddings we created recommendation engine easily, thank you neo4j.
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Simplifying Machine Learning based product development with scalable graph database
What do you like best about the product?
I have been using neo4j from last 6 month everyday for developing machine learning and data analysis products. it is really faster than RDBMS and helps in developing products such as market basket analysis, community detection and also for generative ai solutions for creating owr own chatbots. Learning neo4j is quite easy due to its documentation and community support available, It has support for multiple languages such as python, java etc. i personally use neo4j python library because it helps me in integrating with my existing machine learning product. I think every data science professional should be aware of neo4j and its power to create a scalable ML products.
What do you dislike about the product?
one thing i think which needs to be improved is adding more sql like features in CYPHER query
What problems is the product solving and how is that benefiting you?
Neo4j stores data in the form of nodes and relationship, this type of structure helps in faster access to data and finding patterns in data for machine learning. for e.g. recently i have implemented market basket analysis using neo4j whereas i have created product and transaction as nodes and each transaction will be connected to the products which was related to that transaction, hence i was able to get the pattern which product is frequently purchased together and even i was able to find out on which day that product is mostly baught.
Neo4j Review.
What do you like best about the product?
The best thing about Neo4j is it is graph database and it has nodes and relationship which makes it simple. It is easy to use. And also it is schema free. Index-free adjacency helps a lot when the data is very complex
What do you dislike about the product?
Cypher language is specific to Neo4j only.
What problems is the product solving and how is that benefiting you?
While using the traditional databases it was very difficult to represent the relationships which were very complex and Neo4j made it easier using its graph model. Real time queries has become easier and faster. Schema free model is very helpful.
Neo4j- Knowledge graph Database
What do you like best about the product?
It is opensourced graph database.
Semi structred data can easily represented and easily get retrive connected data faster.
Scalable architecture.
It helps to maintain the predictability of relation based queries.
Semi structred data can easily represented and easily get retrive connected data faster.
Scalable architecture.
It helps to maintain the predictability of relation based queries.
What do you dislike about the product?
No security for data and No data encryption.
There is limit in the graph size like per graph it supports 10 B of nodes.
There is limit in the graph size like per graph it supports 10 B of nodes.
What problems is the product solving and how is that benefiting you?
We are integrating Neo4j knowledge graphs with LLM. This helps to remove model hallucinations in the output or inferencing. Sometime we combine both the results of neo4j and LLM.
The open source Graph Database
What do you like best about the product?
It is open source, has an active community behind. Well documented. You can self host it.
The GUI, called Neo4j Browser, it's very good tool to visualize the data.
Quite flexible, and some fast methods, in order to import graph data into it.
The GUI, called Neo4j Browser, it's very good tool to visualize the data.
Quite flexible, and some fast methods, in order to import graph data into it.
What do you dislike about the product?
Sometimes the own query language, called cypher, it's a little bit obscure and hard to type.
What problems is the product solving and how is that benefiting you?
Thanks to the good and fast import system and the viewer Neo4j Browser, it is very good to create data models.
NEO4J
What do you like best about the product?
Neo4j is a great platform for the new user to learn the commands it is very interesting, and we can see the command along with its results. we can see the result in multiple ways like in graph format, table, text or code.
What do you dislike about the product?
I do not have much dislike about this platform but this is little confusing for the new user because it is little complicated for installation and initiate the commands. User may require the instruction for installation.
What problems is the product solving and how is that benefiting you?
A user can easily learn the database command by implementing multiple changes in similar commands. moreover it is very interesting for the user user to run the command and the best thing is that a person can see the overview for more details about the its queries.
Solution for complex data relations
What do you like best about the product?
It allows storing data with complex relationships, which can be represented suitably, making querying easy.
What do you dislike about the product?
It's primary use is free, but advanced features seem too costly.
What problems is the product solving and how is that benefiting you?
Our data has various complex relationships which can be maintained and queried easily with the help of the Neo4j Graph database.
Solving complications using graph database
What do you like best about the product?
The ease of using Neo4j, not just by developers but by other stake holders.
What do you dislike about the product?
The different technologies that are built make things seem complicated, which is not the case.
What problems is the product solving and how is that benefiting you?
One is problem i am trying to solve is role management for my client project
Neo4j is an excellently supported and mature graph database
What do you like best about the product?
The active development, the large, international community, integrations, available documentation and training, certification programs, online events, friendly UI, easy-to-use query language and APOC.
What do you dislike about the product?
I cannot think of anything serious, but the upgrade process could be more straightforward and not require running multiple upgrades to get to the latest version if you're running a much older one in production.
What problems is the product solving and how is that benefiting you?
As with graph databases, one of the most generous benefits, especially compared to traditional databases, is the relationships between the data that can be easily traversed and help discover hidden connections.
its a database for making machine learning tasks easier
What do you like best about the product?
It has dependencies with python, making it more useable
What do you dislike about the product?
Neo4j query language is some what complex
What problems is the product solving and how is that benefiting you?
it helps in designing graphical convolution network easier
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