Tag Archives: SQL

Graph Analytics: The New Use Case for Relational Databases

ByAlekh Jindal, MIT CSAIL Graph analytics are becoming increasingly popular with several new big-data application domains such as social networks, transportation networks, ad networks, e-commerce, and web search. However, these graph analytics workloads are seen as quite different from traditional database … Continue reading

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Tupleware: Redefining Modern Analytics

By Andrew Crotty, Alex Galakatos, and Tim Kraska, Brown University The increasing prevalence of big data across all industries and sciences is causing a profound shift in the nature and scope of analytics. Increasingly complex computations, ranging from machine learning to predictive … Continue reading

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Interactive Visualization of Big Data

By Leilani Battle, MIT CSAIL and Justin DeBrabant, Brown University Almost all areas of science are moving to a more data-driven analysis pipeline, where large multidimensional datasets need to be explored and analyzed for possible insights. The process of exploring … Continue reading

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Benchmarking Graph Databases – Updates

By Alekh Jindal, MIT CSAIL After our last post about benchmarking graph databases, Neo Technology representatives contacted us and said that they repeated the shortest path queries on Neo4j with the Facebook dataset and they observed 2-4 orders of magnitude better … Continue reading

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Benchmarking Graph Databases

ByAlekh Jindal, MIT CSAIL Graph data management has recently received a lot of attention, particularly with the explosion of social media and other complex, inter-dependent datasets. As a result, a number of graph data management systems have been proposed. But … Continue reading

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No Hadoop: The Future of the Hadoop/HDFS Stack

by Michael Stonebraker, MIT CSAIL There has been a collection of recent announcements about DBMS capabilities in the so-called Hadoop stack.  To be clear, this is a three-tier architecture with HDFS (a file system) at the bottom, Hadoop (the open source … Continue reading

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MapD: A Way to Map Big Data Faster

How a Fortuitous “Hack” Led to a Database Breakthrough “Necessity is the mother of invention” may be an old saying, but it’s so often true – even today. Which is why creative ideas for new technologies are coming not just … Continue reading

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GenMark: A Benchmark for Genomics Big Data

By Manasi Vartak, MIT CSAIL Genomics is quickly becoming a major source of Big Data due to advances in sequencing technology that make it much faster and less expensive.  It is now possible to gene-sequence more than 2000 people per … Continue reading

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Standardizing Query Access to Array Databases

By Rebecca Yale Taft, MIT CSAIL Array-based DBMSs are becoming more important for the scientific community because of the complexity and size of the databases that scientists usually work with. But to date, array-based systems have lacked a standardized query … Continue reading

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ArrayQL Draft Released for Comment

  By David Maier, Ph.D., Portland State University At the XLDB 2012 meeting this week, the first draft of a common language for array data, ArrayQL is being released for public comment. The goal of ArrayQL is to provide a … Continue reading

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