Search Results for "sql parser java" - Page 2
Sort By:
Showing 32 open source projects for "sql parser java"
View related business solutions-
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
1
MockSqlBuilder uses mock objects and method interception to build SQL queries in an OOP fashion. Instead of strings (like HQL or plain text), MockSqlBuilder uses the data object's and their methods to record and construct a query.
-
2
Criteria2JPQL API is an adaptation of the powerful Hibernate Criteria API to standard JPA API enabling the compatibility with any orm tool. Against the native SQL queries created by Hibernate Criteria, Criteria2JPQL outputs standard JPQL queries.
-
3
A simple to use and basic orm library without fuss. Avoids development issues arising from dynamically constructed SQL. Doesn't render the JDBC architecture inaccessible. Doesn't initiate the proliferation of largely pointless POJO libraries.
-
4
SQLite Designer tools to create and manage easy db for developers. also support Linq to SQLite (C#) code generator and SQL Parser
-
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
-
5
jPersist is an object-relational persistence API with automatic mapping, and based on the ActiveRecord and DataMapper patterns. jWebApp is an MVC web application framework. Both are configuration and annotation free and can be learned in minutes
-
6
Pikk - Object Relational Mapping ( ORM ) Framework Pikk’s primary feature is Object-Relational mapping from Java classes to database tables and from Java data types to SQL data types.
-
7
QuickORM is a java ORM library. It can provide auto-creation of POJO classes quickly and easy to use ORM features. Currently, only Microsoft SQL Server is supported but may be extended to support others in the future.
