Search Results for "disk"

ClickHouse® is a fast, open-source column-oriented database management system that can generate analytical data reports through SQL queries in real time. According to several independent benchmarks, it far exceeds other comparable column-oriented database management systems, working even up to 1000 times faster. It is able to process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. Apart from its blazing speed, ClickHouse is highly...

...XLocate automatically recognizes through libmagic the most widespread locate database formats (GNU locate, slocate and mlocate/plocate). XLocate’s versions from 0.81 keep track of your disk partitions using their UUID, so you don’t have to specify anything in order to add them to the catalogue. You can conveniently search for files using any of the locate tools, even if not installed in your path. You can also transparently create and update indices from within the application.

SQLite Micro Manager is a lightweight, fast and configurable GUI program mostly designed to access, browse and modify data in SQLite3 databases maintained by other applications, like Web browsers, home accounting software etc. It supports drag-and-drop operations, saving to and retrieving SQL statements from internal library and disk files. runs natively on 64 bit Windows 7/8/10 and Linux Ubuntu derivatives with GTK2+. Can be easily compiled for OSX and Linux GTK3 and QT widget sets with minimal changes. It can run without any installation, although proper installation packages are provided for Windows and Ubuntu-based Linux distributions. The intended audience is people with at least basic knowledge of SQL who need fast and simple tool to deal with SQLite3 databases.

The StackCollect SCM is written in Python and is free to download, more advanced features can be purchased from StackCollect. Monitored Server Platforms Include: Windows Server 2012 R2 Monitored Database Platforms Include: PostgreSQL Microsoft SQL Server MariaDb MySQL