About the Webinar
Graph databases have actually been around for many years, but it’s only in the past 2-3 that they’ve started to gain widespread attention and adoption. Graph databases enable a range of analytical and discovery capabilities that no other technology can provide, because they provide for an understanding of the “connections” between data, rather than just the data itself,. They are for example, a natural fit for interconnected data in domains like social media and intelligence gathering. Any data analyst who doesn’t know how to leverage the power of graphs, is missing a huge opportunity.
There are different types of graph databases, with varying properties and capabilities, so like any other aspect of technology selection, it’s important to match your requirements to the right database. For example, graphs may store different data types. Some provide reasoning and inference abilities. Query languages are also different. This expert panel will explain the various characteristics of graph databases, and some of the differences between commercially available products. It will also investigate some of the ongoing discussions in the industry around standards, APIs, performance and query languages.
In this presentation, we will discuss:
- Key applications of graph stores
- Different types of graphs
- Property graphs
- RDF stores
- Strengths and weaknesses
- Query languages used
- Product characteristics
- Transaction Support and ACID properties
- Graph Standards
- What’s needed?
About the Panel
Leon Guzenda, Founder, Objectivity
Leon Guzenda was one of the founding members of Objectivity in 1988 and one of the original architects of Objectivity/DB. He currently works with Objectivity’s major customers to help them effectively develop and deploy complex applications and systems that use the industry’s highest-performing, most reliable DBMS technology, Objectivity/DB. He also liaises with technology partners and industry groups to help ensure that Objectivity/DB and InfiniteGraph remain at the forefront of database and distributed computing technology. Leon has more than 35 years’ experience in the software industry. At Automation Technology Products, he managed the development of the ODBMS for the Cimplex solid modeling and numerical control system. Before that, he was Principal Project Director for International Computers Ltd. in the United Kingdom, delivering major projects for NATO and leading multinationals. He was also design and development manager for ICL’s 2900 IDMS product. He spent the first 7 years of his career working in defense and government systems. Leon has a B.S. degree in Electronic Engineering from the University of Wales.
Emil Eifrem, CEO, Neo Technology / Neo4j
Emil Eifrem sketched what today is known as the property graph model on a flight to Mumbai in 2000. As the CEO of Neo Technology and co-founder of the Neo4j project, he’s devoted his professional life to building and evangelizing graph databases. Committed to sustainable open source, Emil guides Neo along a balanced path between free availability and commercial reliability. He plans to save the world with graphs and own Larry’s yacht by the end of the decade. Emil tweets at @emileifrem.
Xavier Lopez, Ph.D., Senior Director, Spatial and Graph Technologies, Oracle
Xavier Lopez is Senior Director of product management for Oracle Server Technologies. His team develops spatial and graph data management to better align Big Data with enterprise information. Xavier has over 15 years of industry experience in spatial data management and over 9 years experience in graph (semantic) databases. He holds advanced degrees from the University of Maine, MIT, and the University of California, Davis. Xavier is founding advisory board member of the Eclipse LocationTech working group aimed at the development of open source geospatial tool kits for Big Data processing. He is also past member of the US National Geospatial Advisory Committee (NGAC) and Mapping Science Committee of the National Academy of Science.
About the Moderator
Dan is an enterprise data architect and author specializing in emerging database technologies. He has worked at Bell Labs, with Steve Job’s at NeXT Computer as well as founding his own consulting firm of over 75 people. His background includes topics such as high performance computing, programming languages, databases and XML standards. He has published articles on the semantic web, metadata registries, US Federal XML standards, XForms, XQuery and XRX. He is a co-author of the book “Making Sense of NoSQL” by Manning Publications.