HPCC Systems continues to develop new stand-alone applications or plug-in modules that extend the capabilities of the base HPCC platform.
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Database
Database
MySql ImportImport schemas from MySQL.
Hadoop Data IntegrationThis connector provides access to HDFS data files from HPCC Systems.
Note: This module is no longer actively supported, but listed here for archival purposes.
WsSQL is a service that provides a SQL interface into HPCC Systems.
Previously, WsSQL was installed using a separate download package. From HPCC Systems 7.0.0. Beta onwards, WsSQL functionality has been fully integrated into the HPCC Systems platform package.
We recommend that existing WsSQL users preparing to upgrade from an earlier version of our platform (such as version 6.x.x), uninstall the old WsSQL package before upgrading to avoid potential compatibility issues./p>
Text Processing
TrigramTrigram manipulation.
Web Log Analytic ModuleOur Web Log Analytic Module (WLAM) can correlate terabytes of log data in a matter of minutes, and perform complex transformation and linking enhancing the value of the existing data.
Prefix TreeImproves Levenshtein edit distance performance
Visualization
Visualizer BundleThe Visualization bundle is an open-source add-on to the HPCC platform to allow you to create visualizations from the results of queries written in ECL. Visualizations are an important means of conveying information from massive data.
Cell FormatterFormat ECL data for display
Integrations
HPCC Systems continues to develop new plugins which are free to the community to help you integrate third party tools with the HPCC Systems platform.
Spark-HPCC Systems IntegrationHPCC Systems-Spark Integration consists of a plug-in to the HPCC Systems platform and a Java library that facilitates access from a Spark cluster to/and from data stored on an HPCC Systems cluster. The HPCC Systems Spark plug-in integrates Spark into your HPCC System platform. Once installed and configured, the Sparkthor component manages the Integrated Spark cluster. It dynamically configures, starts, and stops your Integrated Spark cluster when you start or stop your HPCC Systems platform. The Spark-HPCC Systems Distributed Spark Connector employs the standard remote file read facility to read and write data to/from either sequential or indexed HPCC datasets.
Eclipse IDE for HPCC Systems The Eclipse IDE is an alternative Integrated Development Environment (IDE) which
can be used with the HPCC Systems Platform.
Note: This module is no longer actively supported, but listed here for archival purposes.
A set of plugins for Pentaho Data Integration to make Big Data development as easy as drag and drop. The plugins are based on the powerful features of the ECL language and help developers to not only quickly develop solutions but also document it in such a way that can easily be understood.
R IntegrationrHPCC is an R package providing an interface between R and HPCC Systems.
ECL Extension for VS CodeThis extension brings ECL Language and HPCC Systems platform support to the popular VS Code editor. Visual Studio Code is a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS and Linux. It comes with built-in support for JavaScript, TypeScript and Node.js and has a rich ecosystem of extensions for other languages (such as C++, C#, Java, Python, PHP, Go) and runtimes (such as .NET and Unity).
JDBC DriverAllows you to connect to the HPCC Systems platform through your favorite JDBC client and access your data without the need to write a single line of ECL.
Java API ProjectThe HPCC Systems Java API Project provides a set of JAVA based APIs (JAPI) which facilitate interaction with HPCC Systems Web Services and C++ based tools.
ODBC DriverConnect with live HPCC Systems ECL query data, directly from any applications that support ODBC connectivity.
Other Modules
Finance LibraryCommonly used financial operations
Performance TestingPerformance test suite
BloomBloom filter support
Title
Description
Legacy Modules
The following modules are no longer actively supported, but are listed here for archival purposes.