What is Neo4j?
Who uses Neo4j?
Here are some stack decisions, common use cases and reviews by companies and developers who chose Neo4j in their tech stack.
I want to build learning paths in a simple way and visualize them, the way Neo4j or D3.js do it. Example: I have a set of learning resources that can be connected depending on certain criteria. Thus, it would be possible for learners to start from various starting points and have learning paths depending on this starting point.
Following this, I need two things: first, a UI that lets me connect entries from a database so that a linear view, like a path, comes out. And second, a bird's eye view on the various paths like a force-directed graph that stems from the linear connections I made.
We have an in-house build experiment management system. We produce samples as input to the next step, which then could produce 1 sample(1-1) and many samples (1 - many). There are many steps like this. So far, we are tracking genealogy (limited tracking) in the MySQL database, which is becoming hard to trace back to the original material or sample(I can give more details if required). So, we are considering a Graph database. I am requesting advice from the experts.
- Is a graph database the right choice, or can we manage with RDBMS?
- If RDBMS, which RDMS, which feature, or which approach could make this manageable or sustainable
- If Graph database(Neo4j, OrientDB, Azure Cosmos DB, Amazon Neptune, ArangoDB), which one is good, and what are the best practices?
I am sorry that this might be a loaded question.
Hello Stackshare. I'm currently doing some research on real-time reporting and analytics architectures. We have a use case where 1million+ records of users, 4million+ activities, and messages that we want to report against. The start was to present it directly from MySQL, which didn't go well and puts a heavy load on the database. Anybody can suggest something where we feed the data and can report in realtime? Read some articles about ElasticSearch and Kafka https://medium.com/@D11Engg/building-scalable-real-time-analytics-alerting-and-anomaly-detection-architecture-at-dream11-e20edec91d33 EDIT: also considering Neo4j
- intuitive, using a graph model for data representation
- reliable, with full ACID transactions
- durable and fast, using a custom disk-based, native storage engine
- massively scalable, up to several billion nodes/relationships/properties
- highly-available, when distributed across multiple machines
- expressive, with a powerful, human readable graph query language
- fast, with a powerful traversal framework for high-speed graph queries
- embeddable, with a few small jars
- simple, accessible by a convenient REST interface or an object-oriented Java API