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All database objects – tables, queries, forms, etc. – are stored in tables of a single database (either file or server), making it easy to share data and design. Resulting database can be to certain extent manipulated using dedicated database tools. In Kexi, such data and definition of objects is known as project.
The CSV Converter converts comma-separated values (CSV) format to table wikitext or to HTML. See (documentation). You may use this to import tables from both spreadsheets and databases (such as MySQL, PostgreSQL, SQLite, FileMaker, Microsoft SQL Server & Access, Oracle, DB2, etc.).
Create/alter table: Yes - can create table, alter its definition and data, and add new rows; Some - can only create/alter table definition, not data; Browse table: Yes - can browse table definition and data; Some - can only browse table definition; Multi-server support: Yes - can manage from the same window/session multiple servers
A common use case for ETL tools include converting CSV files to formats readable by relational databases. A typical translation of millions of records is facilitated by ETL tools that enable users to input csv-like data feeds/files and import them into a database with as little code as possible.
Support of the file formats Excel, ACCESS, SQL Server and CSV. User-friendly graphical user interface. Analyses of monthly and quarterly time series. Possibility of mass production of time series decompositions and seasonal adjustments. Various possibilities of graphic evaluations of analysis results.
Tabular Data Stream (TDS) is an application layer protocol used to transfer data between a database server and a client. It was initially designed and developed by Sybase Inc. for their Sybase SQL Server relational database engine in 1984, and later by Microsoft in Microsoft SQL Server.
Some non-DBMS drivers exist, for such data sources as CSV files, by implementing a small DBMS inside the driver itself. ODBC drivers exist for most DBMSs, including Oracle, PostgreSQL, MySQL, Microsoft SQL Server (but not for the Compact aka CE edition), Mimer SQL, Sybase ASE, SAP HANA [28] [29] and IBM Db2. Because different technologies have ...
Once the structure is reverse engineered, very complex SQL queries are written to pull all the content from multiple tables into an intermediate table or into some type of Comma-separated values (CSV) or XML file. Once the developer has the files or database the developer must read and understand the target CMS API and develop code to push the ...