Best Data Quality Software

Design, debug, run and troubleshoot data transformations and jobflows in a developer-friendly visual designer. Orchestrate data workloads that require tasks to be carried out in the right sequence, orchestrate multiple systems with the transparency of visual workflows. Deploy data workloads easily into a robust enterprise runtime environment. In cloud or on-premise. Make data available to people, applications and storage under a single unified platform. Manage your data workloads and related processes together in a single platform. No task is too complex. We’ve built CloverDX on years of experience with large enterprise projects. Developer-friendly open architecture and flexibility lets you package and hide the complexity for non-technical users. Manage the entire lifecycle of a data pipeline from design, deployment to evolution and testing. Get things done fast with the help of our in-house customer success teams.

Let your engineers focus on the core components of your business. Pulter gives you the best spreadsheet import tool that can be implemented within minutes. With Pulter you can get your customer's data into your system as soon as possible. Let your customers experience the core value of your product instead of battling with clunky data. Trusting a 3rd party with your customer's data isn't easy, that's why we don't store your customer data anywhere in our platform. We provide different methods of getting your customer's data. Pulter is very easy to setup and customize, you can easily customize it to fit in with your brand, change the workflow and many more. Add a snippet of our code to your app to start accepting spreadsheets from your customers.

Data arrives from every direction, growing in scale and complexity. Hidden in the data is knowledge and insight that is full of potential. Such potential is only fully realized when it permeates through to every decision and action the organization takes, second by second. As the business changes, so does the data itself, resulting in new knowledge and insight. A cycle is formed, learn and adapt. Industries as far ranging as financial services, healthcare, telecommunications, manufacturing, transportation, and entertainment have recognized the opportunity. Getting there is both challenging and exciting. Success demands new levels of speed and agility in understanding, managing, and processing vast amounts of continuously changing data. Complex organizations require a high performance data platform that is built for automation and self-service, that thrives amid change and adapts to new realities, and that can solve the toughest data processing and data management challenges.

AI-powered data integration tool that helps streamline the process of customer data onboarding. It allows for easy and fast automated data integration from various sources without coding, reducing preparation time to just a few minutes. With Datuum, organizations can efficiently extract, ingest, transform, migrate, and establish a single source of truth for their data, while integrating it into their existing data storage. Datuum is a no-code product and can reduce up to 80% of the time spent on data-related tasks, freeing up time for organizations to focus on generating insights and improving the customer experience. With over 40 years of experience in data management and operations, we at Datuum have incorporated our expertise into the core of our product, addressing the key challenges faced by data engineers and managers and ensuring that the platform is user-friendly, even for non-technical specialists.

Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making. Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday. Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure.