Free dbas software for linux

phpPgAdmin is a web-based administration tool for PostgreSQL. phpPgAdmin is perfect for PostgreSQL DBAs, newbies and hosting services.
Main features:
- Administer multiple servers
- Support for PostgreSQL 7.0.x, 7.1.x, 7.2.x, 7.3.x, 7.4.x and 8.0.x
- Manage all aspects of:
- Users & groups
- Databases
- Schemas
- Tables, indexes, constraints, triggers, rules & privileges
- Views, sequences & functions
- Advanced objects
- Reports
- Easy data manipulation:
- Browse tables, views & reports
- Execute arbitrary SQL
- Select, insert, update and delete
- Dump table data in a variety of formats: SQL, COPY, XML, XHTML, CSV, Tabbed, pg_dump
- Import SQL scripts, COPY data, XML, CSV and Tabbed
- Excellent language support:
- Available in 24 languages
- No encoding conflicts. Edit Russian data using a Japanese interface!
- Easy to install and configure
Enhancements:
- Eliminate use of $_SERVER[PHP_SELF]. This fixes a regression in 4.1.2 for non-mainstream locales (including SQL_ASCII)
- Validate client supplied server against entries in config.inc.php
- Fix undefined variable when altering a field in a table on PostgreSQL < 8.0

SQLAlchemy is a SQL toolkit and object relational mapper for Python.
The Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language.
- extremely easy to use for all the basic tasks, such as: accessing thread-safe and pooled connections, constructing SQL from Python expressions, finding object instances, and commiting object modifications back to the database.
- powerful enough for complicated tasks, such as: eager load a graph of objects and their dependencies via joins; map recursive adjacency structures automatically; map objects to not just tables but to any arbitrary join or select statement; combine multiple tables together to load whole sets of otherwise unrelated objects from a single result set; commit entire graphs of object changes in one step.
- built to conform to what DBAs demand, including the ability to swap out generated SQL with hand-optimized statements, full usage of bind parameters for all literal values, fully transactionalized and consistent updates using Unit of Work.
- modular. Different parts of SQLAlchemy can be used independently of the rest, including the connection pool, SQL construction, and ORM. SQLAlchemy is constructed in an open style that allows plenty of customization, with an architecture that supports custom datatypes, custom SQL extensions, and ORM plugins which can augment or extend mapping functionality.
SQLAlchemys Philosophy:
- SQL databases behave less and less like object collections the more size and performance start to matter; object collections behave less and less like tables and rows the more abstraction starts to matter. SQLAlchemy aims to accomodate both of these principles.
- Your classes arent tables, and your objects arent rows. Databases arent just collections of tables; theyre relational algebra engines. You dont have to select from just tables, you can select from joins, subqueries, and unions. Database and domain concepts should be visibly decoupled from the beginning, allowing both sides to develop to their full potential.
- For example, table metadata (objects that describe tables) are declared distinctly from the classes theyre designed to store. That way database relationship concepts dont interfere with your object design concepts, and vice-versa; the transition from table-mapping to selectable-mapping is seamless; a class can be mapped against the database in more than one way. SQLAlchemy provides a powerful mapping layer that can work as automatically or as manually as you choose, determining relationships based on foreign keys or letting you define the join conditions explicitly, to bridge the gap between database and domain.
SQLAlchemys Advantages:
- The Unit Of Work system organizes pending CRUD operations into queues and commits them all in one batch. It then performs a topological "dependency sort" of all items to be committed and deleted and groups redundant statements together. This produces the maxiumum efficiency and transaction safety, and minimizes chances of deadlocks. Modeled after Fowlers "Unit of Work" pattern as well as Java Hibernate.
- Function-based query construction allows boolean expressions, operators, functions, table aliases, selectable subqueries, create/update/insert/delete queries, correlated updates, correlated EXISTS clauses, UNION clauses, inner and outer joins, bind parameters, free mixing of literal text within expressions, as little or as much as desired. Query-compilation is vendor-specific; the same query object can be compiled into any number of resulting SQL strings depending on its compilation algorithm.
- Database mapping and class design are totally separate. Persisted objects have no subclassing requirement (other than object) and are POPOs : plain old Python objects. They retain serializability (pickling) for usage in various caching systems and session objects. SQLAlchemy "decorates" classes with non-intrusive property accessors to automatically log object creates and modifications with the UnitOfWork engine, to lazyload related data, as well as to track attribute change histories.
- Custom list classes can be used with eagerly or lazily loaded child object lists, allowing rich relationships to be created on the fly as SQLAlchemy appends child objects to an object attribute.
- Composite (multiple-column) primary keys are supported, as are "association" objects that represent the middle of a "many-to-many" relationship.
- Self-referential tables and mappers are supported. Adjacency list structures can be created, saved, and deleted with proper cascading, with no extra programming.
- Data mapping can be used in a row-based manner. Any bizarre hyper-optimized query that you or your DBA can cook up, you can run in SQLAlchemy, and as long as it returns the expected columns within a rowset, you can get your objects from it. For a rowset that contains more than one kind of object per row, multiple mappers can be chained together to return multiple object instance lists from a single database round trip.
- The type system allows pre- and post- processing of data, both at the bind parameter and the result set level. User-defined types can be freely mixed with built-in types. Generic types as well as SQL-specific types are available.

MySQL Administrator is a powerful visual administration console that enables you to easily administer your MySQL environment and gain significantly better visibility into how your databases are operating.
MySQL Administrator now integrates database management and maintenance into a single, seamless environment, with a clear and intuitive graphical user interface.
By using MySQL Administrator you will be able to:
- Achieve higher database availability through improved management
- Reduce errors through visual database administration
- Lower database administration costs through improved productivity
- Deliver a more secure environment through easier privilege management
MySQL Administrator enables developers and DBAs to easily perform all the command line operations visually including configuring servers, administering users, and dynamically monitoring database health.
Other common administrative tasks such as monitoring replication status, backup and restore, and viewing logs can also be performed through the MySQL Administrator graphical console.
User Administration in Minutes
Administering users, granting privileges and viewing user privilege information has never been easier! Now you can leverage the full power of MySQLs user management and privilege capabilities to fully protect your MySQL server host using an integrated graphical user administration console.
For example, a form-based interface provides a simple method for adding users, assigning passwords and including user profile information. Plus, assigning and revoking global, database, and table/column privileges is as easy as adding and removing privilege items from an available list. Finally, an explorer interface provides a hierarchical view allowing you to easily view user privileges by privilege type.
Single View Dynamic Health Monitoring
Dynamic health monitoring gives you an immediate view into the key indicators of the health of your MySQL environment. Dynamic graphs enable you to easily view percentage of memory usage, connection usage, hit rates, as well as the number of SQL queries on an ongoing basis, as your system runs.
The Disk Health tab gives you an overview of the amount of hard disk space, tablespace, and log files being used. You can also use the visual health monitoring feature to get a hierarchical view into status and server variables such as the number of outstanding connections, number of bytes sent and received by clients, buffer allocations size and more.
Quickly Optimize MySQL
MySQL Administrator now allows you to easily view and setup key parameters so you can quickly optimize the performance of MySQL. Using a graphical forms-based environment, you quickly fine tune general and advanced parameters. For example you can set memory usage parameters and configure server start-up parameters related to the MyISAM and InnoDB table types.
Rapid Disaster Prevention and Recovery
Now you can rapidly create consistent backups and restore data by simply visually selecting the schemas and tables you want to back/restore from your hierarchical data directory. The graphical environment gives you additional visibility into Tabletype, Rows, Data Length, and Update time.
Server Information At-a-Glance
The server information section of MySQL Administrator allows you to quickly view basic information about the server and client. This view gives you immediate visibility into items such as server status, client and server version numbers and IP address, as well as connection information.
View Replication Status
Now you can quickly set up replication to increase the robustness and speed of your MySQL environment. The replication features within MySQL Administrator allow you to easily view the network topology of your replication master and slaves. Plus, the graphical environment provides additional visibility into IP addresses and logfiles.
View Server Logs from a Centralized Administration Environment
Now you can view all the MySQL log files including error logs, binary logs, and InnoDB logs from a single, centralized administration environment so you can diagnose server problems quicker and track database changes.
Service Control
Gain complete control of service creation and overcome the time consuming task of installing and setting up services. Plus, start and stop MySQL servers and view corresponding log messages.
Browse Catalog
Browse your catalog and view corresponding tables with columns, all indices and users with privileges to access selected databases. From here you can monitor and optimize tables.
Cross Platform
MySQL Administrator will initially be available for Microsoft Windows and Linux, and be compatible with MySQL version 4.0 or later.