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Apr 20, 2015 · 26m · mad

Emil Eifrem, Neo4j // Graphs Are Eating The World (Hosted by FirstMark Capital)

Emil Eifrem · 20m spoken Matt Turck · 31s spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

At Data Driven NYC, Neo4j founder and CEO Emil Eifrem explores how connected data and graph databases are revolutionizing modern software architecture. Through enterprise case studies, live technical demonstrations, and performance benchmarks, Eifrem demonstrates how graph databases outperform traditional relational systems in managing complex data relationships.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Matt holds 2.1% of the talking time here. How this is scored →

Matt as informed peer 0.0 Guest teaching 5.8 Guest disagreement 1.2 Matt pushing back 0.0
05100:0010:0020:002:17–8:46 · Matt as informed peer 0/10 The Power of Connected Data in Category Leaders Because this segment is a solo keynote presentation by guest Emil Eifrem without host involvement, host-side metrics are zero. Emil educates the audience on how category leaders like Google, LinkedIn, and PayPal dominated by leveraging connected data.8:46–10:53 · Matt as informed peer 0/10 Enterprise Graph Case Studies: Logistics, Retail, and IoT Emil presents enterprise case studies across logistics, retail, and IoT during a solo presentation segment. Host scores remain zero due to host absence during the presentation.10:53–16:47 · Matt as informed peer 0/10 Neo4j Evolution and the Property Graph Model Emil explains the evolution of Neo4j and demonstrates the property graph data model using ASCII art notation and Cypher query syntax. Host scores are zero as the host does not participate in this monologue.16:47–19:57 · Matt as informed peer 0/10 Live Interactive Neo4j Demonstration Emil conducts a live demonstration of the Neo4j browser interface and runs server dependency queries. Host metrics remain zero during the presentation sequence.19:57–22:58 · Matt as informed peer 0/10 Performance Benchmarks and Key Takeaways Emil compares MySQL against Neo4j benchmark metrics before humorously dismissing audience guesses to claim the human brain is the best database. Host scores remain zero during this presentation section.2:17–8:46 · Guest teaching 6/10 The Power of Connected Data in Category Leaders Because this segment is a solo keynote presentation by guest Emil Eifrem without host involvement, host-side metrics are zero. Emil educates the audience on how category leaders like Google, LinkedIn, and PayPal dominated by leveraging connected data.8:46–10:53 · Guest teaching 6/10 Enterprise Graph Case Studies: Logistics, Retail, and IoT Emil presents enterprise case studies across logistics, retail, and IoT during a solo presentation segment. Host scores remain zero due to host absence during the presentation.10:53–16:47 · Guest teaching 6/10 Neo4j Evolution and the Property Graph Model Emil explains the evolution of Neo4j and demonstrates the property graph data model using ASCII art notation and Cypher query syntax. Host scores are zero as the host does not participate in this monologue.16:47–19:57 · Guest teaching 5/10 Live Interactive Neo4j Demonstration Emil conducts a live demonstration of the Neo4j browser interface and runs server dependency queries. Host metrics remain zero during the presentation sequence.19:57–22:58 · Guest teaching 6/10 Performance Benchmarks and Key Takeaways Emil compares MySQL against Neo4j benchmark metrics before humorously dismissing audience guesses to claim the human brain is the best database. Host scores remain zero during this presentation section.2:17–8:46 · Guest disagreement 1/10 The Power of Connected Data in Category Leaders Because this segment is a solo keynote presentation by guest Emil Eifrem without host involvement, host-side metrics are zero. Emil educates the audience on how category leaders like Google, LinkedIn, and PayPal dominated by leveraging connected data.8:46–10:53 · Guest disagreement 1/10 Enterprise Graph Case Studies: Logistics, Retail, and IoT Emil presents enterprise case studies across logistics, retail, and IoT during a solo presentation segment. Host scores remain zero due to host absence during the presentation.10:53–16:47 · Guest disagreement 1/10 Neo4j Evolution and the Property Graph Model Emil explains the evolution of Neo4j and demonstrates the property graph data model using ASCII art notation and Cypher query syntax. Host scores are zero as the host does not participate in this monologue.16:47–19:57 · Guest disagreement 1/10 Live Interactive Neo4j Demonstration Emil conducts a live demonstration of the Neo4j browser interface and runs server dependency queries. Host metrics remain zero during the presentation sequence.19:57–22:58 · Guest disagreement 2/10 Performance Benchmarks and Key Takeaways Emil compares MySQL against Neo4j benchmark metrics before humorously dismissing audience guesses to claim the human brain is the best database. Host scores remain zero during this presentation section.2:17–8:46 · Matt pushing back 0/10 The Power of Connected Data in Category Leaders Because this segment is a solo keynote presentation by guest Emil Eifrem without host involvement, host-side metrics are zero. Emil educates the audience on how category leaders like Google, LinkedIn, and PayPal dominated by leveraging connected data.8:46–10:53 · Matt pushing back 0/10 Enterprise Graph Case Studies: Logistics, Retail, and IoT Emil presents enterprise case studies across logistics, retail, and IoT during a solo presentation segment. Host scores remain zero due to host absence during the presentation.10:53–16:47 · Matt pushing back 0/10 Neo4j Evolution and the Property Graph Model Emil explains the evolution of Neo4j and demonstrates the property graph data model using ASCII art notation and Cypher query syntax. Host scores are zero as the host does not participate in this monologue.16:47–19:57 · Matt pushing back 0/10 Live Interactive Neo4j Demonstration Emil conducts a live demonstration of the Neo4j browser interface and runs server dependency queries. Host metrics remain zero during the presentation sequence.19:57–22:58 · Matt pushing back 0/10 Performance Benchmarks and Key Takeaways Emil compares MySQL against Neo4j benchmark metrics before humorously dismissing audience guesses to claim the human brain is the best database. Host scores remain zero during this presentation section.

speaking balance: gold is Matt, purple is the guest (3 minute bins)

0:00 · Matt 5.5% · guest 94.5%0:00 · Matt 5.5% · guest 94.5%3:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%15:00 · Matt 0% · guest 100%15:00 · Matt 0% · guest 100%18:00 · Matt 0% · guest 100%18:00 · Matt 0% · guest 100%21:00 · Matt 4.1% · guest 95.9%21:00 · Matt 4.1% · guest 95.9%24:00 · Matt 14.8% · guest 85.2%24:00 · Matt 14.8% · guest 85.2%
Sharpest disagreement ▶ 21:55 Rejecting diplomatic audience answers

Emil humorously calls out an audience member's cautious answer on database selection as political bullshit to set up his presentation finale.

 Hardest push from Matt ▶ 22:54 Strict session time management

Matt Turck steps in at the end of the presentation to strictly limit Q&A time to just a couple of brief questions.

 Biggest teaching moment ▶ 4:40 Reframing web search via graph connections

Emil highlights how early search engines parsed isolated documents while Google revolutionized search by treating hyperlinks as connected graph data.

 Matt holds his own ▶ 0:06 Framing the infrastructure presentation context

Matt Turck frames the talk contextually as an infrastructure presentation before handing over the stage to Emil.
the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
The Power of Connected Data in Category Leaders 0610 Because this segment is a solo keynote presentation by guest Emil Eifrem without host involvement, host-side metrics are zero. Emil educates the audience on how category leaders like Google, LinkedIn, and PayPal dominated by leveraging connected data.
Enterprise Graph Case Studies: Logistics, Retail, and IoT 0610 Emil presents enterprise case studies across logistics, retail, and IoT during a solo presentation segment. Host scores remain zero due to host absence during the presentation.
Neo4j Evolution and the Property Graph Model 0610 Emil explains the evolution of Neo4j and demonstrates the property graph data model using ASCII art notation and Cypher query syntax. Host scores are zero as the host does not participate in this monologue.
Live Interactive Neo4j Demonstration 0510 Emil conducts a live demonstration of the Neo4j browser interface and runs server dependency queries. Host metrics remain zero during the presentation sequence.
Performance Benchmarks and Key Takeaways 0620 Emil compares MySQL against Neo4j benchmark metrics before humorously dismissing audience guesses to claim the human brain is the best database. Host scores remain zero during this presentation section.

Statements from this episode (5)

Assertion Not checkable as stated
Eifrem: Neo4j saved Christmas 2012 deliveries for a major European courier
“So we saved Christmas for a major country in Europe in 2012.”
Emil Eifrem Apr 20, 2015 ▶ 10:00
Assertion Supported
Eifrem: Walmart uses Neo4j for real-time customer recommendations
“Walmart is is publicly using us to do real-time recommendations, where you look at the connections between all the customers and the product that, that they've used, and match that to similar similar people, and then do that in real-time, based on purchase his…”
Emil Eifrem Apr 20, 2015 ▶ 10:10
Assertion Supported
Eifrem: Graph databases were the fastest-growing database category for two years
“Graph databases, whilst being one of the smaller cousins of the former NoSQL phenomena, right has actually been the fastest growing category inside of all of big data, all of databases for the vast majority of the past two years.”
Emil Eifrem Apr 20, 2015 ▶ 13:08
Assertion Not checkable as stated
Neo4j ran a social network graph query 1,000 times faster than MySQL
“We ran that in MySQL, and that was a 2000 millisecond operation. 2000 millisecond operation. In Neo-for-J, that was a two millisecond operation. So it's a thousand times faster.”
Emil Eifrem Apr 20, 2015 ▶ 20:45
Assertion Not checkable as stated
Neo4j maintained 2ms query latency when scaled to 1,000,000 users
“It's added a million people and 50 friends on average, so, you know, twenty-five million total connections. Grab two people on random, and check to see, and it's a two, still a two millisecond operation in, in Neo-for-J.”
Emil Eifrem Apr 20, 2015 ▶ 20:56
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