Graph DB
The first blog in this series is to install neo4j – desktop version and few plugins which would help us to build an application. I am using Ubuntu 22.04.4 LTS.
– Source: dev.to
/
about 1 month ago
Neo4j — Leading graph database platform, known for its performance and scalability.
– Source: dev.to
/
2 months ago
Neo4j is a graph database that represents and stores data using graph structures with nodes, edges, and properties.
– Source: dev.to
/
3 months ago
Neo4j: An ACID-compliant graph database with a high-performance distributed architecture. Ideal for complex relationship and pattern analysis in domains like social networks.
– Source: dev.to
/
7 months ago
The GenAI Stack came about through a collaboration between Docker, Neo4j, LangChain, and Ollama. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are…
– Source: dev.to
/
12 months ago
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don’t make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and…
– Source: dev.to
/
about 1 year ago
Recently I have taken an interest in big data. https://neo4j.com/ , https://cassandra.apache.org/ , https://clickhouse.com/, https://www.elastic.co/ – are all databases I have experience with. Neo4j and Cassandra only as a hobby, but Clickhouse I have used in production, and Elasticsearch I have used for some 7 years now.
Source:
over 1 year ago
For organizations and their applications that are designed to detect fraud, like International Consortium of Investigative Journalists, or try to improve customer experience via personalization, as in the case of Tourism Media, a NoSQL graph database like Neo4j is a good match. In these kinds of use cases, the quantity of data we’re dealing with is enormous, and the pattern we’re searching for in the data is often…
– Source: dev.to
/
over 1 year ago
First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform’s query language.
– Source: dev.to
/
over 1 year ago
Welcome to the world of graph databases! When it comes to modelling complex and highly connected data, graph databases have proven to be an efficient and intuitive solution. And one of the most popular graph databases out there is Neo4j, which uses a query language called Cypher.
– Source: dev.to
/
over 1 year ago
First, privilege escalation would be a bit difficult without visibility of whose privilege level should be targeted. Of course, as mentioned previously, AD does offer the ability for an authorized domain user to simply query the data for information they’re interested in like usernames, email addresses, group memberships, etc., which is one way that visibility could be obtained. However, we’ve seen that with a…
– Source: dev.to
/
almost 2 years ago
Recently, while working on a new feature for Neo4j GraphAcademy, I noticed an omission with the Neo4j JavaScript driver in TypeScript projects.
– Source: dev.to
/
almost 2 years ago
A graph database (something like Neo4j) seems like a case where NoSQL offers tangible advantages. Heirarchical/recursive queries aren’t a strong point of relational databases. If I’m not mistaken, OG relational algebra didn’t allow for recursion.
Source:
about 2 years ago
For mutual friends, we can build a social graph for every user. Each node in the graph will represent a user and a directional edge will represent followers and followees. After that, we can traverse the followers of a user to find and suggest a mutual friend. This would require a graph database such as Neo4j and ArangoDB.
– Source: dev.to
/
about 2 years ago
I created Davraz for TigerGraph 2020 Graphathon. (It got 1st Place Reward YAAAY!) It is a tool for visualizing your TigerGraph and Neo4j databases. TigerGraph and Neo4j are graph databases. Usually, data is stored in SQL databases. Graph databases are a fairly new way to store data.
– Source: dev.to
/
over 2 years ago
– Recently I have taken an interest in big data. https://neo4j.com/ , https://cassandra.apache.org/ , https://clickhouse.com/, https://www.elastic.co/ – are all databases I have experience with. Neo4j and Cassandra only as a hobby, but Clickhouse I have used in production, and Elasticsearch I have used for some 7 years now.
Source:
over 2 years ago
Check out https://neo4j.com (page about scalability: https://neo4j.com/product/neo4j-graph-database/scalability/).
Source:
over 2 years ago
There’s something even better to represent inter-connected data: graphs https://neo4j.com/.
Source:
over 2 years ago
Neo4j
A graph database management system that allows you to track where private information is stored and which systems, applications, and users access it.
– Source: dev.to
/
over 2 years ago
5. Neo4j
Neo4j is that ‘most popular’ graph database everyone knows. They focus too much on the analytical users, and are missing out on the Firebase users. They have advanced querying capabilities with cypher, math functions, and triggers. While they do have basic constraints, they do not have policies. However, you could write your own with triggers. Neo4j is really a beast and competes more with sql databases…
– Source: dev.to
/
over 2 years ago
Keeping this line of thought, we came up with the idea of having a new service with a Neo4j database that would persist all our entities and their relationships. Then, this service would be able to make all those complex queries in a much friendlier and easier way by taking advantage of the cypher query language to traverse the knowledge graph with any desired relationship length.
– Source: dev.to
/
over 2 years ago