QueryBuilder can be used on advanced search engine pages, administration backends, etc. to build complex queries or filters. It is highly customisable and can be used with many jQuery widgets like autocompleters and sliders.
It outputs a structured JSON of rules which can be easily parsed to create SQL/NoSQL/whatever queries.
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.
Korma is a domain specific language for Clojure that takes the pain out of working with your favorite RDBMS. Built for speed and designed for flexibility, Korma provides a simple and intuitive interface to your data that won't leave a bad taste in your mouth.
Learn how to use LINQ in your applications with these code samples, covering the entire range of LINQ functionality and demonstrating LINQ with SQL, DataSets, and XML.
HTSQL was created in 2005 to provide an XPath-like HTTP interface to PostgreSQL for client-side XSLT screens and reports. HTSQL found its audience when analysts and researchers bypassed the user interface and started to use URLs directly. The language has evolved since then.
B. Howe, G. Cole, N. Khoussainova, and L. Battle. Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, page 1319--1322. New York, NY, USA, ACM, (2011)