Neo4j
Neo4j is a data solution software designed to help clients manage and display large amounts of data. It emphasizes graphing and connectivity. The software is developed by Sweeden-based Neo4j, Inc.
- Developer-friendly API
- CRM data analytics
- Focus on connectivity
- Nearly two decades of software improvements has made Neo4j a refined piece of work that can do nearly anything when it comes to data
- Multi-platform accessibility
- Designed to be a connecting center-point of a modern business, linking data scientists with admins, customers with sales reps, and contractors with supervisors
- Neo4j is primarily designed for data and connectivity (CRM), so other software might be more appropriate or powerful for other uses of data
When it comes to business essentials, managing data is somewhere near the top of the list. Whether its simple bookkeeping or a user network for a major company, data processing is everywhere. As such, there are hundreds, if not thousands, of software and applications available to view, manage and store all sorts of data. Not all solutions are created equally, and different businesses have their own special data needs. Specifically, Neo4j is designed to deal with customer and corporate relations data, which would have it fall in the fast-growing field of CRM, or customer relations management, software, but it's existed for a long time before those sort of needs were essential. Neo4j preceeds Facebook and Twitter, so social media connectivity with customers wasn't really a thing yet. As a result, the software is inherently capable of a wide range of data management, like network and IT operations impact analysis, logistics routing in real time, identity and access management, fraud detection, portfolio management, and the list goes on. But Neo4j really shines brightest when it comes to graphs, which it has won quite a few awards for. For business meetings, printed reports or virtual conference calls, Neo4j provides a multi-media data graphing suite that suddenly transforms mundane data into lively charts. No, data solutions are not made equally, but some are made very, very well.