Bring intelligent workload automation to your Oracle environment.
Manage complexity
Coordinate dependencies in end-to-end business processes.
Control data flows
Process the right data at the right time and get it to the right place.
Exceed SLAs
Automate job sequencing based on data readiness.
Oracle databases are often tightly coupled with other systems, so they require careful coordination and precise scheduling. With Tidal, you can automate Oracle Database tasks and integrate them into broader enterprise workflows.
Create job definitions in Tidal, whether the job exists in Oracle already or is defined using SQL or PL/SQL blocks. Jobs can run in-line through Tidal for full visibility and control or be launched as DBMS jobs with more limited interaction. When jobs run in Tidal, detailed output and logging are available. For DBMS jobs, logging must be managed on the database side.
Tidal’s Oracle Database adapter lets you:
Tidal supports two job types for Oracle:
You can assign parameters to either type, define pre- or post-processing steps and reuse saved job definitions. This gives you flexible control over database automation with full visibility across the job lifecycle.
Tidal also offers pre-built adapters for:
How will your business thrive with an automation fabric powered by Tidal?
In Oracle, data integration refers to the process of extracting, transforming and loading (ETL) data from various sources into a central repository or data warehouse for analysis and business intelligence. This process is crucial for businesses to consolidate and analyze data from different systems, providing a unified view for better decision-making.
An Oracle Database adapter enables integration between Oracle databases and external systems by allowing data access, job submission and event monitoring. Tidal by Redwood’s Oracle Database adapter extends this concept by allowing you to automate, schedule and orchestrate Oracle database jobs directly in the Tidal platform. It connects to Oracle databases — on-premises or in the cloud — using native SQL and PL/SQL — and integrates them into enterprise-wide workflows without requiring custom scripts or manual handoffs.
Oracle Database, a relational database management system (RDBMS), is used for managing and storing large amounts of data in a structured and organized way. It's widely used across various industries for applications like online transaction processing (OLTP), data warehousing and even in enterprise-level systems. Oracle Database also supports object-oriented features, making it suitable for storing complex business models.
Oracle and MySQL are both popular relational database management systems (RDBMS), but they differ in several key aspects. Oracle is a commercial database known for its robust features and enterprise-grade performance, while MySQL is an open-source database widely used for web applications and other projects where cost-effectiveness and flexibility are priorities.