Dave Packer Picture

Dave Packer

Vice President, Product Marketing

Dave has more than 25 years of experience influencing products in the enterprise technology space, primarily focused on information management and governance. As a member of the Neo4j team, Dave leads product, customer and partner marketing, which serve an integral role in product definition, defining the company’s ecosystem and being the voice of the customer for long-term priority setting. Prior to joining Neo4j, Dave held executive positions at TripActions, Druva, Autonomy, Interwoven, and Silicon Graphics.


Latest Posts by Dave Packer

16 Things to Consider When Selecting the Right Graph Database

Selecting the right graph technology for your organization can be daunting. In this blog, we'll discuss what to look for in graph databases, related tools, and the vendors who sell and support them. Each vendor you consider should be able to explain how they address all these areas because... read more


Neo4j as an Embedded Database: The Key Use Cases of Graph Databases

An embedded database is a database used inside another company’s application, providing added value and functionality. It enhances the functionality of the “host” application, usually without the end user realizing they are engaging with the embedded database. In this blog series,... read more


What to look for in an embedded graph database

Neo4j as an Embedded Database: What to Look for in an Embedded Graph Database

An embedded database is a database used inside another company’s application, providing added value and functionality. It enhances the functionality of the “host” application, usually without the end user realizing they are engaging with the embedded database. In this blog series,... read more


Neo4j as an Embedded Database: When Does Embedding a Graph DB Make Sense?

An embedded database is a database used inside another company’s application, providing added value and functionality. It enhances the functionality of the “host” application, usually without the end user realizing they are engaging with the embedded database. In this blog series,... read more



Graph Data Platforms: Collections vs. Connections

You may have heard that graph database technology underpins the latest in machine learning and AI. But what are graph data platforms and why are they rapidly becoming the first choice for application development? Can a shift in database technology really make a big difference? In this second... read more


Graph Data Platforms: A Brief Introduction

You may have heard that graph database technology underpins the latest in machine learning and AI. But what are graph data platforms and why are they rapidly becoming the first choice for application development? Can a shift in database technology really make a big difference? In this first... read more


The Future of the Intelligent Application: Business Agility

Modern applications come with new requirements. Such applications incorporate intelligence and learning. They require full context to support smart decision-making in real time. Such applications require unlimited scalability and granular strong security. But perhaps most of all, these... read more


The Future of the Intelligent Application: Granular Security

Modern applications come with new requirements. Such applications incorporate intelligence and learning. They require full context to support smart decision-making in real time. These applications must be able to scale without limits to meet unexpected demand. Furthermore, next-generation... read more


The Future of the Intelligent Application: Scalability for Unlimited Growth

Modern applications come with new requirements. Such applications incorporate intelligence and learning. They require full context to support smart decision-making in real time. These applications must be able to scale without limits to meet unexpected demand. Furthermore, next-generation... read more


The Future of the Intelligent Application: Why Graph Technology Is Key

Data, AI, intelligent applications. They’re no longer separate topics, or even separate conferences. O’Reilly announced that it is merging its data and AI conferences, saying, “Data feeds AI; AI makes sense of data.” Further, both power applications. In 2016, Ben Lorica – then program... read more


Learn about how Neo4j is used for a 360-view of customer experience in the financial services sector

Financial Services & Neo4j: 360-Degree View of Customer Experience

Customer expectations are rising at a time when customer service is a significant differentiator within the financial services industry. Customers expect companies to deliver personalized service – i.e., an end-to-end customer experience – that reflects an understanding of who they are,... read more


Learn about how Neo4j graph technology is used for cybersecurity in the financial services sector

Financial Services & Neo4j: Cybersecurity

Cybersecurity is of critical importance to financial services firms. IT organizations must mitigate cybersecurity risk, both in terms of external access to the infrastructure and in understanding how a malware infection or attack can move across a particular network. These efforts are made... read more


Learn about how Neo4j is used for identity and access management in the financial services sector

Financial Services & Neo4j: Identity & Access Management

Within the IT organization of any financial services enterprise, identity and entitlements management must be managed to minimize risk. Over time, the centralized entitlements structure – whether represented in Active Directory or an LDAP directory – grows in such a way that people end up... read more


Learn about how Neo4j is used for network and IT infrastructure monitoring in financial services

Financial Services & Neo4j: Network & IT Infrastructure Monitoring

Discovering, capturing and making sense of complex interdependencies is central to managing IT infrastructure more effectively, and it is also a critical part of running the businesses IT serves. Whether it’s optimizing a network or an application infrastructure, managing change or providing... read more


Learn about the Neo4j graph database for anti-money laundering in the financial services sector

Financial Services & Neo4j: Anti-Money Laundering

Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today's financial services landscape. Firms need to know where funds come from and where they are headed, but criminals use indirection to make it difficult to follow money from one... read more


Learn about using the Neo4j graph database for fraud detection in this financial services series

Financial Services & Neo4j: Fraud Detection

Identifying and stopping fraudulent activity is harder than ever for financial services organizations. Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete... read more


Learn about using Neo4j for data lineage and metadata management in this financial services series

Financial Services & Neo4j: Data Lineage & Metadata Management

Regulatory compliance requires financial services firms to have visibility into data lineage, information and process flows. The Sarbanes-Oxley Act (SOX), for example, requires public firms to understand who has access to what data, what data resides in which systems, and how data flows across the... read more


Learn more about using Neo4j for financial asset graphs in this series on Neo4j & financial services

Financial Services & Neo4j: Financial Asset Graphs

In today’s regulatory environment, financial services firms are beginning to experience the impact of graph databases across a number of functions ranging from fighting financial crimes, preventing and responding to cyber threats and ensuring regulatory compliance. Meanwhile, as the... read more


Read this Bloor Research product sheet with a vendor-neutral analysis of the Neo4j graph database

Bloor Research Publishes Vendor-Neutral Analysis of Neo4j

There are a million technologies competing for your attention, and sometimes it's hard to weed out the marketing fluff from real product talk. That's why we've decided to take a moment, step out of the way, and give you access to what vendor-neutral analysts have to say about the Neo4j graph... read more


Learn from this virtual panel how graph databases will power the Internet of Things (IoT)

How Will Graph Technology Propel the Internet of Things? [Virtual Panel]

The Internet of Things (IoT) is undoubtedly one of the greatest growing tides in technology today. The IoT sector is set to revolutionize everything from home appliances and self-driving cars to building management and smart farming. And while consumer-oriented IoT devices and applications... read more


The Telenor Data Model for Identity and Access Management

How Telenor Harnessed Neo4j for Competitive Advantage in IAM

Telenor Norway is the largest supplier of Norway’s telecommunications and data services, but they had run into a major data growth problem. With a growing number of subscriptions, their older identity and access management (IAM) system couldn’t handle the provisioning of data for their... read more


Learn How eBay Achieved Competitive Advantage in the Same-Time Delivery Space by Using Neo4j

eBay’s Competitive Advantage in Same-Day Delivery Using Neo4j

From toys and ties, to slippers and iPhones, eBay is a major e-commerce hub. But with other online retailers offering same-day delivery (such as Amazon Prime or Google Express), eBay knew it needed to step up its game with a same-day delivery service of its own. That’s when eBay acquired... read more


Learn How Walmart Used Neo4j to Achieve Sustainable Competitive Advantage via Recommendations

How Walmart Uses Neo4j for Retail Competitive Advantage

In a little over 50 years, Walmart grew from a small, family-owned business to become the world’s largest public corporation, with over 2 million employees and annual revenues of $470 billion. But Walmart didn’t just become the world’s largest retailer by chance. Rather, they understood... read more


Learn How Gamesys Used Neo4j to Achieve Competitive Advantage by Tracking Player Relationships

How Gamesys Harnessed Neo4j for Competitive Advantage

Gamesys is the largest cash and social gaming operator in UK and Europe, created the world’s first cash gaming application on Facebook. With games like Jackpotjoy, Instant Slots and Here Be Monsters, the company features online bingo, slots and casino games. Combined, their web properties... read more