CloverDX

Design and run end-to-end data processes automatically, reducing manual effort and improving reliability.

Enables both IT engineers and business users to work together on data integration projects, fostering shared understanding and faster development.

Provides user-friendly interfaces (like CloverDX Wrangler, Data Manager, and Data Apps) that allow non-technical users to prepare, manage, and consume data independently.

Accelerates the process of bringing new data into your systems through automation and reusable solutions, connecting to various sources like databases (SQL, NoSQL), cloud storage, applications (Salesforce), and APIs.

Helps eliminate manual tasks and replace outdated, difficult-to-manage legacy scripts with standardized, automated processes.

Ensures data accuracy and reduces errors through robust automation combined with manual data quality checks and stewardship, including features for automated bad data identification, correction, and reporting.

Frees up experienced technical staff from routine data preparation and serving tasks, allowing them to focus on high-value work and building more dependable systems.

Offers a growth-friendly pricing model for both cloud and on-premise deployments, helping to manage and optimize data processing costs.

Provides options for visual low-code development for simpler tasks and full coding (Java, Python, etc.) for complex logic, allowing users to choose the best approach for each part of a problem.

Supports reliable and scalable data operations with features for job execution, workflow management, scheduling, event triggers, APIs, and detailed monitoring for instant health checks of pipelines.

Enables business users to control and manage critical shared data sets within the platform, including workflows for updates, review, approval, and audit logs.

Facilitates connecting to and integrating data from a wide range of diverse data sources, targets, formats, and applications.

Designed to help organizations transition from older, harder-to-manage data integration tools and processes.

Offers flexible deployment options, allowing you to run the platform on your own infrastructure, in the cloud (AWS, Azure, Google Cloud), or in a hybrid environment.

Provides comprehensive capabilities to cleanse, enrich, re-format, and manipulate extracted data to meet specific business requirements.

Supports moving data from one system or database to another, simplifying complex data transfer projects.

Tools (like CloverDX Data Profiler) to analyze data characteristics, such as finding maximum/minimum values, unique values, and other statistics to understand data quality.

Maintains data integrity and accountability by tracking changes and providing access to historical data versions.

Offers dedicated expert help, onboarding, training, and professional services to assist with project implementation and ongoing support.