Best Data Management Software for Reduct

Find and compare the best Data Management software for Reduct in 2026

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

  • 1
    Google Cloud Platform Reviews
    Top Pick

    Google Cloud Platform

    Google

    Free ($300 in free credits)
    61,049 Ratings
    See Software
    Learn More
    Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
  • 2
    Backstory Reviews

    Backstory

    Backstory (People.ai)

    $50 per user per month
    Backstory is an AI sales intelligence and pipeline management platform that helps revenue organizations analyze opportunities, forecast outcomes, and determine what actions to take next. It integrates with CRMs, email systems, calendars, meeting platforms, and other sales tools to automatically capture customer interactions and connect activity to the appropriate accounts and deals. This automated activity capture reduces the need for representatives to manually log meetings, calls, contacts, and engagement data. Backstory uses AI to evaluate deal health, engagement patterns, historical wins, stakeholder coverage, potential bottlenecks, and other indicators that may affect close likelihood. Sales teams can identify at-risk opportunities, uncover growth potential, and understand why particular deals are more or less likely to progress. Stakeholder mapping shows who is involved in an opportunity and highlights missing contacts or relationship gaps that could influence the buying process. AI coaching and deal-specific recommendations provide sellers with suggested next steps based on buyer activity, deal context, and established sales patterns. Forecasting, renewals and retention analysis, pipeline management, and account activity intelligence give managers a broader view of current and future revenue performance. Backstory is designed for sales teams that want to make pipeline decisions using continuously updated engagement data rather than relying primarily on manual CRM updates and rep judgment.
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