Where does hTRUNK™ fit in Hadoop Ecosystem?
hTRUNK™ comprehensively sits on top of Apache Hadoop ecosystem facilitating quick and easy end to end application development.
Apache Hadoop and Apache Spark application development and management platform
The product is built from ground to sophisticate Hadoop application development without having to write or maintain complicated code
To meet the enterprise needs by tackling the challenges of Big Data application development. hTRUNK™ provides a suite of components to deliver lower cost, higher capacity infrastructure.
An intuitive graphical drag and drop application development environment with pre-built ETL components
Instantly deploy and efficiently manage artifacts between environments with no code compilation
Automate and monitor application workflows to reduce cost and speed up the delivery of business services
Efficiently track users, projects and jobs on the repository. Assign user privileges and account for each project
Features & Benefits
Best in the industry combination
Leverage the full power of Apache Hadoop and its ecosystem coupled with Apache Spark for data processing.
Built in Testing Environment
Provides an on board development/testing environment with local execution on the smaller data set.
Compatible with all Hadoop distributions and is applicable to both on-premise and cloud based deployment models.
Native connectivity to any BigData Eco-system
User friendly interface to connect to any eco-system component without having to worry about connection configurations
Stay up to date with open source community
hTRUNK takes care of upgrade and new cutting edge feature addition.
Multi execution modes
Instantly choose to run locally or on YARN or on Apache Spark cluster from UI.
No version locking, Develop and deploy on any version
hTRUNK’s backend process generates code to version available on the server on the run time.
No need to learn complex coding
The developer friendly visual interface enables quicker development without the need to learn complex coding.
In-built scheduler and monitoring data flow
Control and orchestrate data flows and data integration jobs.