CloverDX Description
In a developer-friendly visual editor, you can design, debug, run, and troubleshoot data jobflows and data transformations. You can orchestrate data tasks that require a specific sequence and organize multiple systems using the transparency of visual workflows. Easy deployment of data workloads into an enterprise runtime environment. Cloud or on-premise. Data can be made available to applications, people, and storage through a single platform. You can manage all your data workloads and related processes from one platform. No task is too difficult. CloverDX was built on years of experience in large enterprise projects. Open architecture that is user-friendly and flexible allows you to package and hide complexity for developers. You can manage the entire lifecycle for a data pipeline, from design, deployment, evolution, and testing. Our in-house customer success teams will help you get things done quickly.
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CloverDX Features and Options
Integration Software
Data Visualization Software
CloverDX Lists
CloverDX User Reviews
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Versatile data integration tool Date: Jun 01 2022
Summary: If you need a data platform that does not stand in your way and offers multiple ways how to achieve your goals.
Positive: - Visual style of designing data transformations which which can be augmented by writing more complex logic as simple script.
- Great monitoring options to find bottlenecks and/or pinpoint errors.
- Built-in Parallelism increasing throughput.
- Excellent support team that provides useful advice.
- Regular updates through new releases - bugs and security vulnerabilities addressed quicklyNegative: - Initial learning curve for non-technical user
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- Their concept of metadata differs from other tools
- Smaller user community compared to the "big guys" -
Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Data integration tool with plenty of functionality Edited: May 05 2023
Summary: We use CloverDX throughout our organization to help us work with disparate datasets. Its automation capabilities allow most of the data pipelines to run on autopilot.
Positive: If you are IT professional (ideally with previous ETL/DI experience) then within relatively small amount of time, you can create powerful data transformation pipelines.
This tool boasts rich capabilities to automate your data transformations and publish the results - files, classic DB targets, message queues, API end-points and others.Negative: The list of built-in connectors is less impressive than with the bigger competition.
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Limited offering in terms of adjacent fields (MDM, Data Replication)