VP odfTechnology at Enterpi Software Solutions Private Limited
User
Top 5
Jan 24, 2025
We have used Neo4j in microservices. In one of the microservices, we used Neo4j since we have some requirements similar to MongoDB plus Elasticsearch. It performs both functions. Instead of doing those two things, we use Neo4j's in-built Solr for queries, and it has MongoDB-like features. We have used these features as well and found them beneficial. For Neo4j, we have used it for smaller applications. I have not tested it with larger applications or big data. Our clients use it for applications with 200 to 300 customers. We have a limited database yet did not find any performance issues.
We're building a social media platform, which is a great use case for the product. It helps connect people. For example, if we're friends on Facebook, I can get suggestions for people near me or related to you. I can see suggestions for people I might know based on our connection. This is possible because of the tool, which can use location parameters and other factors. Twitter is another good example. I follow certain hashtags and want suggestions based on them. I can group hashtags and get suggestions from them.
About one year ago, some of my customers were interested in a graph database. I found Neo4j and other local Korean graph database solutions. Neo4j is better than the local vendors as it is a global first-ranking solution. Now, one of the customers wanted to deploy using the graph database. I'm preparing for that now.
Neo4j is the graph database solution allowing the analysis of complex relationships and patterns in data, leading to better decision-making and improved business processes. The graph database offers easy data integration from multiple sources, providing a more comprehensive view.
The most valuable aspect of a graph database is its performance and response time, as it does not use the join function and only has nodes and raw data. Overall, Neo4j, as a global first-ranking solution, has...
We have used Neo4j in microservices. In one of the microservices, we used Neo4j since we have some requirements similar to MongoDB plus Elasticsearch. It performs both functions. Instead of doing those two things, we use Neo4j's in-built Solr for queries, and it has MongoDB-like features. We have used these features as well and found them beneficial. For Neo4j, we have used it for smaller applications. I have not tested it with larger applications or big data. Our clients use it for applications with 200 to 300 customers. We have a limited database yet did not find any performance issues.
We're building a social media platform, which is a great use case for the product. It helps connect people. For example, if we're friends on Facebook, I can get suggestions for people near me or related to you. I can see suggestions for people I might know based on our connection. This is possible because of the tool, which can use location parameters and other factors. Twitter is another good example. I follow certain hashtags and want suggestions based on them. I can group hashtags and get suggestions from them.
About one year ago, some of my customers were interested in a graph database. I found Neo4j and other local Korean graph database solutions. Neo4j is better than the local vendors as it is a global first-ranking solution. Now, one of the customers wanted to deploy using the graph database. I'm preparing for that now.
Relationship management: Understanding which clients can buy which products, building eligibility and propensity criteria.