Do we need specialized graph databases? Benchmarking real-time social networking applications

Do we need specialized graph databases? Benchmarking real-time social networking applications Pacaci et al., GRADES'17 Today's paper comes from the GRADES workshop co-located with SIGMOD. The authors take an established graph data management system benchmark suite (LDBC) and run it across a variety of graph and relational stores. The findings make for very interesting reading, … Continue reading Do we need specialized graph databases? Benchmarking real-time social networking applications

Using word embedding to enable semantic queries on relational databases

Using word embedding to enable semantic queries in relational databases Bordawekar and Shmeuli, DEEM'17 As I'm sure some of you have figured out, I've started to work through a collection of papers from SIGMOD'17. Strictly speaking, this paper comes from the DEEM workshop held in conjunction with SIGMOD, but it sparked my imagination and I … Continue reading Using word embedding to enable semantic queries on relational databases

Blockbench: a framework for analyzing private blockchains

Blockbench: a framework for analyzing private blockchains Dinh et al., SIGMOD'17 Here's a paper which delivers way more than you might expect from the title alone. First we get a good discussion of private blockchains and why interest in them is growing rapidly. Then the authors analyse the core layers in a private blockchain, and … Continue reading Blockbench: a framework for analyzing private blockchains

Azure Data Lake Store: a hyperscale distributed file service for big data analytics

Azure data lake store: a hyperscale distributed file service for big data analytics Douceur et al., SIGMOD'17 Today's paper takes us inside Microsoft Azure's distributed file service called the Azure Data Lake Store (ADLS). ADLS is the successor to an internal file system called Cosmos, and marries Cosmos semantics with HDFS, supporting both Cosmos and … Continue reading Azure Data Lake Store: a hyperscale distributed file service for big data analytics