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J-Stels Software  Home Page
Home PageCategories: JDBC
Latest version: 3.0
Added 2005-09-29Updated 2006-12-12
CSV JDBC type 4 driver that allows performing SQL queries and other JDBC operations on text files (comma-separated, delimiter-separated, fixed-length, etc). Using this driver, you can create a database consisting of plain text files. Also, the driver can be used for writing data importing programs and migration tools.
Features include:
- supports most keywords of ANSI SQL 92
- supports inner and outer table joins
- supports INSERT, UPDATE and DELETE statements
- supports transactions
- supports integer, floating point, string and date/time data types
- supports aggregate, numeric, string, conversion and other SQL functions
- supports user-defined SQL functions
- supports reading text files from Zip/Jar archives and HTTP URLs
- platform independent
Built for Java |
Home PageCategories: JDBC
Latest version: 1.3
Added 2005-09-29
In-memory SQL engine (in-memory JDBC) for storing and processing tabular data in Java applications.
Using StelsEngine, you can make processing data in your software. StelsEngine implements the JDBC API standard.
Features include:
- JDBC Type 4 driver
- Supports most keywords of ANSI SQL92
- Supports integer, floating point, string and date/time data types
- Supports handling of custom Java objects and classes
- Supports aggregate, converting, string and other SQL functions
- Supports user-defined SQL functions
- supports data loading from a DBMS
- Platform independent
Built for Java |
Library |
Home PageCategories: JDBC
Latest version: 1.0
Added 2006-12-12
JDBC type 4 driver that allows performing SQL queries and other JDBC operations on XML files.
With StelsXML JDBC driver, you can extract and process data contained in your XML documents by using the standard SQL syntax and XPath expressions.
Features include:
- supports most keywords of ANSI SQL92
- supports XPath expressions for defining tables and columns
- does not require any intermediate data transfers and mapping transformations
- supports inner and outer table joins
- supports integer, float, string and date/time data types
- supports aggregate, numeric, string, conversion and other SQL functions
- supports user-defined SQL functions
- platform independent
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