COLLABORATIVE DATA INTEGRATION PLATFORM
Automate data pipelines, empower business users.
Free people from manual work, build reliable end-to-end processes, and empower business and IT to shape intricate logic together.
Onboard Data Faster
Accelerate time-to-value for new data by automation, reusable solutions and effective collaboration.
Modernize Outdated Processes
Eliminate manual work, upgrade from hard-to-manage legacy scripts, and standardize processes.
Boost Trust in Data and Process
Ensure accuracy and reduce errors by combining robust automation with manual data quality measures.
Relieve Overloaded Experts
Free up key technical staff from serving data to focusing on high-value work and building dependable systems.
Enable Business Users
Empower non-technical users to collaborate on data pipelines with engineering teams and manage their own data prep.
Control Costs
In cloud or on premise, CloverDX’s growth-friendly pricing model helps optimize costs.
Why do customers choose CloverDX?
CloverDX gives you the ability to choose how you approach each part of a problem and combine multiple approaches in a single job.
Some parts can be easily solved with a simple data prep interface by domain experts, other parts would be best represented as visual flows and the trickiest part are best solved with a solid piece of code in Java, Python, etc.
While workflows and automation are the bread and butter of CloverDX’s data pipelines, sometimes the best thing to do is let humans jump into the process and resolve unexpected problems right in the data.
While this is often done by offloading the data to a spreadsheet and some email exchanges, in CloverDX you can orchestrate the entire process and user intervention within the platform using Data Manager.
It’s not all about transformation and connectivity. Solid operational foundations are crucial to achieving the right level of trust into the process you’re building. CloverDX offers a proven robust execution and monitoring environment with a broad range of triggering mechanisms and delivery methods.
"With CloverDX, not only have we sped up our onboarding time, but we have been able to add QA and alerting to jobs that have made our process more robust and capable. We have greater confidence of the data integrity. If a job fails, Clover logs tell us exactly where and what failed. It has reduced the trouble shooting time down from hours to minutes now."
—Brandon R. Network Administrator - Read on G2
Numerous interfaces integrated into the CloverDX platform allow you to take work out of the hands of engineers and let the true data owners and experts provide the intricate business logic themselves.
Customers see CloverDX as a game-changer — a tool that has transformed the way they approach data challenges. What once seemed impossible or too time-consuming is now easily within reach. With CloverDX, teams go from saying “we can’t do that” to confidently declaring “we can Clover that.” It’s become more than just a tool — it’s a mindset shift toward agility, speed, and creative problem-solving.
You might only need a quick call to validate a technical question, or a few days of consultation to get your project off the ground, or your team is completely busy and you need to build a full solution. We’re always here to give you the much needed manpower to get your projects from start to finish.
“Companies will always tell you they have great support, and then you buy the software and you find out that’s not the case... With CloverDX I get answers right away. Any time there’s a problem they take every bit of care to try and get a resolution"
Nick Liles, IT Manager, Sisk Fulfillment Service
From the CloverDX blog
Choosing the right data integration software: 12 essential questions
Finding your ideal data integration platform can feel daunting. These questions will help you select the right software and - perhaps more importantly - the right partner.
How self-service analytics can solve your productivity struggles
Personal solutions can be useful, but the most effective antidote to low productivity and inefficiency must be implemented at the system level, not the individual level.