Cloud Converter is a Java application that inspects dirt bound database table metadata and then uses the Salesforce.com metadata API to create that object in the clouds. It creates the object, updates the default page layout and creates a tab. It then migrates the data from your dirt bound database to the clouds. Supports any dirt bound database accessible via a JDBC driver. This has been tested with Apache Derby (as a sample), MySQL, Lotus Notes, Excel Spreadsheets. Try it using a simple web tab. See useful links below for how. Last update: April 4, 2009

Cloud Loader is a scripted version of the Apex Data Loader that is pre-packaged in a public Amazon EC2 AMI (Amazon Machine Image). This will allow you to integrate data into or out of Salesforce completely in the Cloud without having to find a server to host the integration. This AMI includes email notifications and can be up and running within minutes if your integration data can be made available on an FTP server that is visible to EC2.

XML to Excel and Excel to XML Force object converter. Written in Java. I threw this together and wanted to share with the community. If you'd like to collaborate with me to expand upon it and take it to the next level, please contact me.

With Force.com for App Engine, Web applications built on App Engine can leverage enterprise data stored in Force.com. The new Force.com for Google App Engine gives developers: <br/>• Java libraries designed to run on Google App Engine, allowing App Engine apps to read and write to Force.com using the Force.com SOAP API <br/>• A means to leverage Java in the scalable App Engine cloud environment and interact directly with the native database, workflow and logic capabilities in Force.com <br/>• App Engine developers gain easy access to Force.com services and capabilities including mobile, analytics, security and sharing models, user authentication, multi-language and currency support and more. <br/>• An open source SOAP Web Service client that provides transportation and object level access from Google App Engine applications directly into the Force.com platform. The Web Service client can also be used with other non-Force.com WSDLs and is available at both developer.force.com and code.google.com. <br/>• Complete Java docs for the Web Service client, including Java source code <br/>• Complete Java docs for the partner SOAP library, including Java source code <br/>• Getting Started guide for Force.com and Google App Engine developers to get up and running quickly <br/>• A sample application that combines both cloud computing platforms to build a simple catalog shopping experience

Configuring the command line interface (cli) for the Salesforce Data Loader can be daunting, especially for first-time users. CLIq provides a simple wizard to create a basic directory structure and configuration files.

Project "tolerado" is a Java based Client side Framework for better and fault tolerant use of Web Service APIs given by Salesforce. This project is named "tolerado" as it will mainly focus on improving the error handling on client web service calls, i.e. making the client side fixture more fault tolerable. Main focus will be on 1. Correct exception handling for web service failures. Provision will be made to recover failures which can be retried. 2. Giving transparent caching of Stubs, so that login call can be saved. 3. Giving utility and wrapper API's for easing and making development effort less error prone with existing WS client stubs. 4. All this should be transparent, i.e. developers should be able to migrate to Tolerado with ease. Tolerado will integrate deeply with Salesforce Partner, Apex and Metadata WSDL web services, though later on it will expose points to plugin the enterprise wsdl services too. Enterprise WSDL is excluded intentionally because of Org specific dependencies. So for rest like partner,apex and metadata WSDLs, you guys can use your existing WSDL2Java client side Axis stubs with this project. Note as of now Tolerado only wraps Apache Axis 1.4 stubs. Later on we will be exposing API for WSC also.

Project "tolerado" is a Java based WS client framework for better and fault tolerant use of Web Service APIs given by Salesforce. Tolerado works on top of highly performance SFDC Web Service Connector API(WSC). If you want to use Tolerado with Apache Axis, that version is available as separate project on Code Share. On top of benefits exposed by WSC API, Tolerado gives (1). A RECOVERABLE framework for each web service method call. This recoverable framework will transparently RETRY all the recoverable web service/remote errors/exceptions rather failing fast. (2). A transparent caching mechanism for salesforce session id/urls, so that we save a login web service call before other web service operations. (3). Giving utility and wrapper API's for easing and making development effort less error prone with existing WS client stubs. For ex. Easing the CRUD of new Sobjects via wrappers, if you are using Partner WSDL's Sobject. Giving easy stubs, so that developers are not into hassle of setting right session headers, server urls etc for using either Metadata, Apex or Partner WSDL APIs. Keeping the migration effort to minimal. So classes are designed to fit well with existing Axis generated classes for ex. QueryResult?, RunTestsResult? etc.

Copy an instance of Salesforce to a Microsoft SQL Server database. The tool can copy all or selected tables (full and incremental copies) and dynamically create the SQL Server schema (by introspecting Salesforce). We use the tool to create local backups and to support local analytical processing.

Copy an instance of Salesforce to a H2 database (www.h2database.org). The tool can copy all or selected tables (full and incremental copies) and dynamically create the H2 schema (by introspecting Salesforce). We use the tool to create local backups and to support local analytical processing.

SQLForce for Jython brings ANSI INSERT, UPDATE, DELETE, SELECT, SELECT UNION, and SELECT DISTINCT for Salesforce into Jython. The Jython module, SQLForce.py, is built on the core JavaForce project. We use it everyday.