he LUPOSDATE SPARQL system supports various approaches to manage RDF data and process SPARQL queries: Index, RDF3X, Stream, Jena and Sesame. Jena [21] and Sesame [3] refer to third-party SPARQL engines. Index is our in-memory Engine presented in [6]. Stream is our stream-based implementation (see [10]). RDF3X is a re-implementation of [14], but is further enhanced with additional optimization strategies.
Dataclips allow the results of SQL queries on a Heroku Postgres database to be easily shared. Simply create a query on dataclips.heroku.com, and then share the resulting URL with co-workers, colleagues, or the world. The recipients of a dataclip are able to view the data in their browser or download it in JSON, CSV, XML, or Microsoft Excel formats
The Visual Query Builder helps you construct complex database queries without you having to know the syntax of SQL statements. A rich set of visual options are available to let you combine SQL clauses like JOINs, GROUP BY with properties like Indexes, Operators, Aliases, Sort Type, Sort Order and Criteria. Based on your selections, the Visual Query Builder will generate a complete SQL statement that can be executed. Features like Quick Criteria Mode, Quick Filtering, Index Assistant, flexible layouts, and drag and drop to include JOINs save you time and make the process of building queries more powerful and intuitive.
Apache Drill provides low latency ad-hoc queries to many different data sources, including nested data. Inspired by Google's Dremel, Drill is designed to scale to 10,000 servers and query petabytes of data in seconds.
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