Automate critical data flows in cross-application processes
Improve data management across systems and processes
Turn data into insight for better decision-making
Tidal offers a set of adapters to support the various Apache Hadoop software utilities. Get the benefits of centralized management and control plus advanced scheduling functionality by integrating your Hadoop activities in Tidal.
Sqoop is a tool designed to transfer data between Hadoop and relational databases. This adapter enables you to automate the various tasks performed by Sqoop – import, transform and export data. The integration enables the following job definitions in Tidal:
MapReduce is the programming model in the Hadoop framework that is used to access and process large amounts of data stored in the HDFS. The adapter uses the Hadoop API to submit and monitor MapReduce jobs with the full scheduling capabilities of Tidal. Through this integration, jobs in Tidal divide the input data into independent chunks that are processed by the map tasks in parallel. The adapter serves as the job client to automate the execution of MapReduce jobs as part of Tidal-managed processes.
This adapter enables you to access and manage data stored in the HDFS using Hive’s querly language (HiveQL). The seamless integration with the Tidal platform enables you to define, launch, control and monitor HiveQL commands submitted to Hive via JDBC on a scheduled basis.
This data mover agent enables you to easily manage file transfers in and out of the Hadoop file system.
Tidal can orchestrate Hadoop workflows whether they're running on-prem or in the cloud.
OUR CORE PLATFORM
A unified platform for centralized management and control of job scheduling across business, operations and IT processes. Tidal Automation Platform >
Our scalable, resilient and secure platform supports automation needs across complex enterprise environments.
You can run Tidal on-prem or in the cloud. Regardless of where it’s hosted, Tidal runs workloads that are on-prem or in the cloud.