Best Data Management Software for Hitachi Content Intelligence

Find and compare the best Data Management software for Hitachi Content Intelligence in 2025

Use the comparison tool below to compare the top Data Management software for Hitachi Content Intelligence on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    SAP Data Warehouse Cloud Reviews
    Our unified cloud solution for data and analytics enables business users to connect data with business contexts and unlock insights. SAP Data Warehouse Cloud unites data and analytics in a cloud platform that includes data integration, data warehouse, data warehouse, as well as analytics capabilities. This will help you unleash your data-driven enterprise. Built on the SAP HANA Cloud database, this software-as-a-service (SaaS) empowers you to better understand your business data and make confident decisions based on real-time information. You can connect data across multi-cloud and local repositories in real time, while keeping the context of your business. SAP HANA Cloud enables you to gain insights and analyze real-time data at lightning speed. All users can access self-service capabilities to connect, model and visualize their data securely in an IT-governed environment. Use pre-built templates, data models, and industry content.
  • 2
    SAP Data Intelligence Reviews
    Data intelligence can transform data chaos into data value. Disjointed data assets can be connected, discovered, enriched, and orchestrated to provide actionable business insights at an enterprise scale. SAP Data Intelligence provides a comprehensive data management solution. It is the data orchestration layer within SAP's Business Technology Platform. It transforms distributed data into vital data insights and delivers innovation at scale. Integrate across the IT landscape to provide intelligent, relevant and contextual insights for your users. Integrate and orchestrate large data volumes and streams at scale. Machine learning enables you to streamline, operationalize, manage, and govern innovation. Comprehensive metadata management rules optimize governance and reduce compliance risk. Disjointed data assets can be connected, discovered, enriched, and orchestrated to provide actionable business insights at enterprise level.
  • 3
    SAP Data Services Reviews
    With exceptional functionality for data integration, quality and cleansing, maximize the value of all structured and unstructured data in your organization. SAP Data Services software increases the quality of enterprise data. It is part of SAP's Information Management Layer. It delivers timely, relevant, and trusted information to help drive better business outcomes. Transform your data into a reliable, always-available resource for business insights and use it to streamline operations and maximize efficiency. Get contextual insight and unlock the true potential of your data with a complete view of all your information. Access to any size data and any source. Standardizing and matching data can improve decision-making and operational efficiency. This will reduce duplicates, identify relationships and address quality issues proactively. Use intuitive tools to unify critical data whether it is on-premise, in the cloud or within Big Data.
  • 4
    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.
  • 5
    KLDiscovery Reviews
    KLDiscovery has a proprietary processing program that is robust, fast, and can propel your processing to new heights. We can simultaneously deploy multiple instances our application so we can process large amounts of data in fractions of the time it takes with other applications. In a typical week, we process many terabytes worth of data. KLDiscovery's integrated deduplication engine can dramatically reduce the data size. This powerful tool can eliminate redundant documents by comparing custom haveh values calculated from the metadata within any number of up 14 separate fields. This process can be tracked and easily recovered, as it is all captured in our application's comprehensive reporting features. Processing large amounts of data is only half of the story.
  • 6
    MINDely Reviews
    MIND is the world's first data security platform to automate data loss prevention (DLP), insider risk management programs (IRM), so you can identify, detect and prevent data leaks automatically at machine speed. Find sensitive data in your IT environments, whether they are in motion, at rest or in use. MIND continuously reveals blindspots for sensitive data in your IT environments, including SaaS apps, AI apps, email, endpoints and on-premise file sharing. MIND analyzes and monitors billions of data events in real-time, enriches every incident with context and remediates automatically. MIND blocks sensitive data from escaping control in real-time, or works with users to mitigate risks and educate them on your policies. MIND continuously reveals blindspots for sensitive data in transit, at rest, and during use by integrating data sources across all your IT workloads. SaaS, AI applications, on-premises endpoints and emails.
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