Neo4j is Designed to be Your Source of Truth Database

When introducing the idea of using Neo4j within an enterprise one common assumption is that because Neo4j is a graph database it must not provide ACID-compliance that RDBMS has delivered for so long. This assumption isn’t unfounded considering most of the NoSQL database solutions have moved towards a performance and availability at all costs model. But it’s a fact: Neo4j is a fully ACID-compliant and transactional database intended to be a secure and safe source of truth database for your enterprise.
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Enterprise

The connected enterprise is the new norm. Traditional chain paradigm with sequential and siloed operations lacking a connection between customer and factory is no longer cutting it. Today enterprises are excepted to be sufficiently in touch and aware of how to interact with each uniquely individual person they are fortunate to call their customer. Technologies and operational procedures are rapidly changing to enable information to be connected and taken together to drive decision making, direction, and interaction with the customer.
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Every Organization Needs a Knowledge Graph

A knowledge graph as it relates to individual organizations is a unification of information across that organization enriched with contextual and semantic relevance. Introducing a knowledge graph creates a comprehensive and baseline set of knowledge accessible by personnel, applications and customers alike to gain understanding and drive actions and direction.
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Getting Ready for Neo4j 3.0

As we’ve been deploying and testing the Neo4j 3.0 Milestone releases on GraphGrid we’ve been excited for some of the shiny new features and also taking note of the operational differences that we’ll need account for in preparation for supporting Neo4j 3.0.

Neo4j is the most popular option in today’s graph database space with its native graph

reliability, performance and expressive querying language, Cypher, and Neo4j 3.0 takes strides in continuing the trend in being both enterprise ready and more developer friendly with your preferred language.

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Graph Advantage: The Connected Customer

At this point in time, we’re living in the connected customer age. Frequently exposed to the internet, shoppers can easily find out important details on nearly every different product and company, making comparisons to competitors, and sharing their input through online ratings and/or social media. And yet there is largely a disconnect between what companies know about their customers how they engage personally with them.
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Investigative Journalism: On the Face of a Woman

All data tells a story—a story to be investigated. The beautiful thing about data is its ability to avoid all subtext and ambiguity and go straight to the facts. Swimming through large amounts of it however, can easily become overwhelming and unproductive. In order to be able to critically instigate the data and its story, one must be able to model and query it.

Last year we created a property graph model for a data set released to the public through the CHHS Open Data Portal. What struck us about this data was its enormous potential to be controversial.

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Synthetic Identities: Intro to Real-Time Detection

Synthetic identities are built through identity theft for use in fraud requiring individually valid identifying details. Identity criminals establish new identities through the combined use of false and actual data, or at times, independently valid information. Criminals utilize this synthetic identity to gain open deposit accounts, credits, driver’s licenses, and even passports.
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Graph Advantage: Business Recommendation Engines

The most common interactions we have with recommendations today involve social, the people we may know, and retail, the products we may also like, but some of the more interesting recommendation engines are the ones that operate internal to an organization providing business recommendations around strategy, direction and execution. Designing and building business recommendation engines that leverage a comprehensively connected data view within an enterprise can provide many competitive advantages. These advantages can include
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