Apache Flink [1] is an open source platform
for distributed stream and batch data processing. Flink’s core is a
streaming dataflow engine that provides data distribution,
communication, and fault tolerance for distributed computations over
data streams. Flink also builds batch processing on top of the streaming
engine, overlaying native iteration support, managed memory, and program
optimization.

Flink offers multiple APIs to process data …

The number of datasets published in the Web of Data as part of the
Linked Data Cloud is constantly increasing. The Linked Data paradigm is
based on the unconstrained publication of information by different
publishers, and the interlinking of web resources through “same-as”
links which specify that two URIs correspond to the same real world
object. In the vast number of data sources participating in the Linked
Data Cloud, this information is not …

In this post we will look at running the LDBC SNB on Virtuoso.

First, let’s recap what the benchmark is about:

1. fairly frequent short updates, with no update contention worth
   mentioning
2. short random lookups
3. medium complex queries centered around a person’s social environment

The updates exist so as to invalidate strategies that rely too heavily
on precomputation. The short lookups exist for the sake of realism;
after all, an online …

Next 31st of May the GRADES workshop will take place in Melbourne within the ACM/SIGMOD presentation. GRADES started as an initiative of the Linked Data Benchmark Council in the SIGMOD/PODS 2013 held in New York.

Among the papers published in this edition we have “Graphalytics: A Big Data Benchmark for Graph-Processing Platforms”, which presents a new benchmark that uses the Social Network Benchmark data generator of LDBC (that can …

​SNB Interactive is the wild
frontier, with very few rules. This is necessary, among other reasons,
because there is no standard property graph data model, and because the
contestants support a broad mix of programming models, ranging from
in-process APIs to declarative query.

In the case of Virtuoso, we have played with SQL and SPARQL implementations. For a fixed schema and well known workload, SQL will always win. The reason for this is that …

LDBC is presenting two papers at the next edition of the ACM SIGMOD/PODS
conference held in Melbourne from May 31st to June 4th, 2015. The annual
ACM SIGMOD/PODS conference is a leading international forum for database
researchers, practitioners, developers, and users to explore
cutting-edge ideas and results, and to exchange techniques, tools and
experiences.

On the industry track, LDBC will be presenting the Social Network
Benchmark Interactive …