DBSight is a J2EE search platform for instant scalable full-text search on any relational database, for both beginners and experts. It lets you add Lucene-based searching to any Web page with SQL and JavaScript. It features a built-in database crawler that follows user-defined SQL, incremental indexing, configurable result ranking, highlighted search results (like Google), categorized result counts (like Amazon), and sharded distributed search. Scaffolding supports tag cloud, suggest-as-you-type, spell checker, and much more. It easily integrates with other languages through XML, JSON, and HTML, and can embed the search UI and results to any Web page by just copying a section of JavaScript. No Java coding is necessary. All managing operations are UI-based. Deleted or updated records in the database can be synchronized. Content outside the database can also be searched.
Weed-FS is a simple and highly scalable distributed file system. There are two objectives: to store billions of files, and to serve the files fast! Instead of supporting full POSIX file system semantics, it implements only a key-file mapping. Instead of managing all file metadata in a central master, it manages file volumes in the central master and lets volume servers manage files and the metadata. This relieves concurrency pressure from the central master and spreads file metadata into volume servers' memories, allowing faster file access with just one disk read operation. It is modelled on Facebook's Haystack design paper. Only 40 bytes of disk storage are required for each file's metadata, and disk reads are O(1).
DBSight customer got 2.6 Million Euro Funding! One of DBSight customers, which focuses on online shopping comparison based the search on DBSight, has recently received 2.6 million Euros for funding...