On this website, you can find information on benchmark specifications and results, on how the LDBC organization works, the motivation for LDBC, and benchmarking resources for the graph and RDF developer community.
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LDBC brings industry and users together for developing benchmarks whereby the state-of-the-art and advances in graph database technologies can be assessed and directed. Read More to find out how the LDBC might help you.
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Here you may find the results for different benchmarks, i.e. the Social Network Benchmark (SNB) and the Semantic Publishing Benchmark (SPB), their definitions and best practices, the repositories where to find the data generators and the query implementations, an access to the intranet for the LDBC industry partners and a list of the LDBC member vendors.
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On these pages, we provide information on the LDBC organization and it members, inclusive information on how to become a member.
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The second part of presentations during the first day at the TUC Meeting in Barcelona started with the presentation from Jerven Bolleman from the Swiss Institute of Bioinformatics called "20 billion triples in production".
Watch Jerven Bolleman talking about why and how the Uniprot SPARQL endpoint allows working with billion of triples from biological datasets.
To end the first day slot of the morning presentations during last 6th TUC Meeting in Barcelona Claudio Martella from VUA was presenting Lighthouse: Large-scale graph pattern matching on Giraph.
Watch Claudio Martella to learn more about Lighthouse and how it uses Giraph and Cypher.
For the third presentation this last 6th TUC Meeting held in Barcelona we were pleased to welcome Tomer Sagi from HP.
Watch his presentation called "HP Labs: Titan DB on LDBC Interactive" where Tomer introduced the history of the research performed at HP along with his latest work fields.
The second presentation during last LDBC's 6th TUC Meeting that took place in Barcelona was called SPIMBENCH: A Scalable, Schema-Aware, Instance Matching Benchmark for the Semantic Publishing Domain and presented by Tzanina Saveta from FORTH.
Watch Tzanina Saveta presenting the benchmark for the Semantic Publishing domain.
In a previous 3-part blog series we touched upon the difficulties of executing the LDBC SNB Interactive (SNB) workload, while achieving good performance and scalability. What we didn't discuss is why these difficulties were unique to SNB, and what aspects of the way we perform workload execution are scientific contributions - novel solutions to previously unsolved problems. This post will highlight the differences between SNB and more traditional database benchmark workloads. Additionally, it will motivate why we chose to develop a new wo
The LDBC consortium is pleased to announce its Seventh Technical User Community (TUC) meeting.
This will be a two-day event at IBM Thomas J. Watson Research Center, Yorktown Heights, New York on Monday 9th and 10th of November.
This will be the first TUC meeting after the finalisation of the LDBC FP7 EC funded project. The event structure will be very similar than the previous ones, and it will basically set the following aspects:
Last 19th and 20th of March took place the sixth edition of the Technical User Community Meeting held in Barcelona. During these two days LDBC hosted more than 15 presentations from key members of the industry and research regarding graphs and RDF that we are going to share as independent blog posts during the following weeks.
Watch the first presentation with Venelin Kotsev presenting the details of the evolution of the SPB.
As discussed in previous posts, one of the features that makes Datagen more realistic is the fact that the activity volume of the simulated Persons is not uniform, but forms spikes. In this blog entry I want to explain more in depth how this is actually implemented inside of the generator.
This blog entry is about one of the features of DATAGEN that makes it different from other synthetic graph generators that can be found in the literature: the community structure of the graph.
Why do leading media companies, like the BBC and publishers, from FT to DK and Elsevier, use triplestores?
