Best Data Quality Software for SAP Cloud Platform

Find and compare the best Data Quality software for SAP Cloud Platform in 2025

Use the comparison tool below to compare the top Data Quality software for SAP Cloud Platform on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    SCIKIQ Reviews

    SCIKIQ

    DAAS Labs

    $10,000 per year
    A platform for data management powered by AI that allows data democratization. Insights drives innovation by integrating and centralizing all data sources, facilitating collaboration, and empowering organizations for innovation. SCIKIQ, a holistic business platform, simplifies the data complexities of business users through a drag-and-drop user interface. This allows businesses to concentrate on driving value out of data, allowing them to grow and make better decisions. You can connect any data source and use box integration to ingest both structured and unstructured data. Built for business users, easy to use, no-code platform, drag and drop data management. Self-learning platform. Cloud agnostic, environment agnostic. You can build on top of any data environment. The SCIKIQ architecture was specifically designed to address the complex hybrid data landscape.
  • 2
    BiG EVAL Reviews
    The BiG EVAL platform provides powerful software tools to ensure and improve data quality throughout the entire lifecycle of information. BiG EVAL's data quality and testing software tools are built on the BiG EVAL platform, a comprehensive code base that aims to provide high performance and high flexibility data validation. All features were developed through practical experience gained from working with customers. It is crucial to ensure high data quality throughout the data lifecycle. This is essential for data governance. BiG EVAL DQM, an automation solution, supports you in all aspects of data quality management. Continuous quality checks validate enterprise data, provide a quality indicator, and support you in solving quality problems. BiG EVAL DTA allows you to automate testing tasks within your data-oriented project.
  • 3
    TCS MasterCraft DataPlus Reviews

    TCS MasterCraft DataPlus

    Tata Consultancy Services

    Data management software is used mainly by enterprise business teams. Data management software must be intuitive, automated, and intelligent. Data management activities must also adhere to specific industry and data protection regulations. Data must be accurate, consistent, high quality, and easily accessible to enable business teams to make informed, data-driven strategic business decisions. Integrates data privacy, data quality management and test data management. Service engine-based architecture allows for efficient handling of growing data volumes. Uses a user-defined function framework with python adapter to handle niche data processing needs. This provides a minimal layer of governance for data quality and privacy management.
  • 4
    Egon Reviews
    Geocoding and address quality software. Validate, deduplicate, and maintain accurate and deliverable address information. Data quality is the ability to verify the accuracy and completeness of certain data. Data quality and postal address verification involves integrating data into any address database to ensure it is reliable and serves its intended purpose. There are many sectors and operations that rely on postal addresses, such as shipping and data entry, such as geomarketing and statistics, such as transportation. Operations tuning is key to ensuring significant logistics and economic savings for enterprises. This add-value is important to make work easier, more efficient. Egon is an online data quality system that can be accessed via the internet.
  • 5
    APERIO DataWise Reviews
    Data is used to inform every aspect of a plant or facility. It is the basis for most operational processes, business decisions, and environmental events. This data is often blamed for failures, whether it's operator error, bad sensor, safety or environmental events or poor analytics. APERIO can help solve these problems. Data integrity is a critical element of Industry 4.0. It is the foundation on which more advanced applications such as predictive models and process optimization are built. APERIO DataWise provides reliable, trusted data. Automate the quality of PI data and digital twins at scale. Validated data is required across the enterprise in order to improve asset reliability. Empowering the operator to take better decisions. Detect threats to operational data in order to ensure operational resilience. Monitor & report sustainability metrics accurately.
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