![]() ![]() Yes - from supported databases using native interfaces, or from any ODBC source TXT, CSV, HTML, XML, DBF, SQL script, RTF, MS Word, MS Excel, MS Access, MS Windows Clipboard, Paradox file, WK1, WQ1, SLK, DIF, LDIF SQL script, CSV, TSV or the above in zip, gzip, bzip2 XML (as a plugin) ![]() SQL script, CSV, TSV or the above in zip (as a plugin) imports of server-site file in SQL or SQL in zip, gzip or bzip2 No - no user manager, or read-only user manager.Some - simple user manager with support for database and schema permissions.Yes - user manager with support for database and schema permissions as well as for individual object (table, view, functions) permissions.Yes - includes a headless server, that runs checks and reports failures.Some - can manage from a different window/session multiple servers.Yes - can manage from the same window/session multiple servers.Some - can only browse table definition.Yes - can browse table definition and data.Some - can only create/alter table definition, not data.Yes - can create table, alter its definition and data, and add new rows.Microsoft Access, Sybase, IBM Db2, Teradataįirebird, HSQL, InterBase, Derby all with JDBC driverĭane Iracleous, Christopher Kramer and othersĬolin Bell, Gerd Wagner, Rob Manning and othersĪccess, Axion Java RDBMS, Apache Derby, Daffodil DB, FileMaker (JDBC), Fujitsu Siemens SESAM/SQL, Firebird, FrontBase, HSQLDB, Hypersonic SQL, H2 (DBMS), IBM Db2, Informix, Ingres, OpenIngres, InstantDB, InterBase, Mckoi SQL Database, Mimer SQL, Netezza, Pointbase, SAPDB, Sybase, Sunopsis XML Driver, Teradata Warehouse, ThinkSQL RDBMS, Vertica Analytic Database. Including SSAS management, and MDX, DMX, and XMLA languagesĬ++/ C# Objective-C Python (programming language) Sybase, IBM Db2, H2, Hypersonic SQL, Amazon Redshift, Apache DerbyĮXASOL, IBM Db2, Apache Derby, Firebird all with JDBC driver InterBase, Firebird, SQL Anywhere, NexusDB and MariaDB Systems listed on a light purple background are no longer in active development. This article is neither all-inclusive nor necessarily up to date. Please see individual product articles for further information. Either double-click the JAR file or execute the jar file from the command-line.įill in the connection properties and copy the connection string to the clipboard.Ī typical JDBC URL is below: jdbc:redshift:User=admin Password=admin Database=dev Server=examplecluster.my. following tables compare general and technical information for a number of available database administration tools. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.įor assistance in constructing the JDBC URL, use the connection string designer built into the Redshift JDBC Driver.On the Clusters page, click the name of the cluster.You can obtain the Server and Port values in the AWS Management Console: Password: Set this to the password you want to use to authenticate to the Server.User: Set this to the username you want to use to authenticate to the Server.Or, leave this blank to use the default database of the authenticated user. Database: Set this to the name of the database.Port: Set this to the port of the cluster.Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.To connect to Redshift, set the following: URL: Enter the JDBC URL, which starts with jdbc:redshift: and is followed by a semicolon-separated list of connection properties. ![]()
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