Best Data Management Software for Capgemini Intelligent Automation Platform

Find and compare the best Data Management software for Capgemini Intelligent Automation Platform in 2025

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

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    MuleSoft Anypoint Platform Reviews
    MuleSoft's Anypoint Platform is a hybrid enterprise integration platform that supports SOA, SaaS, APIs, and APIs. AnyPoint gives developers access to a variety of tools that allow them to design, build and manage their APIs, products, and applications throughout their lifecycle. Mule is the core runtime engine of Anypoint Platform.
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    Teradata Vantage Reviews
    Businesses struggle to find answers as data volumes increase faster than ever. Teradata Vantage™, solves this problem. Vantage uses 100 per cent of the data available to uncover real-time intelligence at scale. This is the new era in Pervasive Data Intelligence. All data across the organization is available in one place. You can access it whenever you need it using preferred languages and tools. Start small and scale up compute or storage to areas that have an impact on modern architecture. Vantage unifies analytics and data lakes in the cloud to enable business intelligence. Data is growing. Business intelligence is becoming more important. Four key issues that can lead to frustration when using existing data analysis platforms include: Lack of the right tools and supportive environment required to achieve quality results. Organizations don't allow or give proper access to the tools they need. It is difficult to prepare data.
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    Cloudera Reviews
    Secure and manage the data lifecycle, from Edge to AI in any cloud or data centre. Operates on all major public clouds as well as the private cloud with a public experience everywhere. Integrates data management and analytics experiences across the entire data lifecycle. All environments are covered by security, compliance, migration, metadata management. Open source, extensible, and open to multiple data stores. Self-service analytics that is faster, safer, and easier to use. Self-service access to multi-function, integrated analytics on centrally managed business data. This allows for consistent experiences anywhere, whether it is in the cloud or hybrid. You can enjoy consistent data security, governance and lineage as well as deploying the cloud analytics services that business users need. This eliminates the need for shadow IT solutions.
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    GenRocket Reviews
    Enterprise synthetic test data solutions. It is essential that test data accurately reflects the structure of your database or application. This means it must be easy for you to model and maintain each project. Respect the referential integrity of parent/child/sibling relations across data domains within an app database or across multiple databases used for multiple applications. Ensure consistency and integrity of synthetic attributes across applications, data sources, and targets. A customer name must match the same customer ID across multiple transactions simulated by real-time synthetic information generation. Customers need to quickly and accurately build their data model for a test project. GenRocket offers ten methods to set up your data model. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.
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    Syniti Data Matching Reviews
    Syniti's data match solutions will help you build a more connected company, drive growth, or leverage new technologies at scale. No matter what data source or shape, our matching software matches, unifies, unifies and harmonizes data using proprietary algorithms. Syniti's matching software is innovative in data quality and empowers data-driven businesses. You will be able to accelerate data harmonization by 90%, and save 75% on de-duplication during your journey to SAP S/4HANA. With performance-ready processing and ready-to-go solutions that don’t require clean data, you can perform deduplication, matching, or lookup on billions upon billions of records in just 5 minutes. AI, proprietary algorithms, steep customization, and high-quality matches maximize matches across complex datasets, and minimize false positives.
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    Amazon Marketing Cloud Reviews
    Amazon Marketing Cloud (AMC), a cloud-based solution that protects privacy, allows advertisers to easily create audiences and perform analysis using pseudonymized data, including signals from Amazon Ads. AMC unifies rich signals coming from Amazon properties, advertisers and built-in external sources, and allows flexible queries about these signals within a secure privacy environment. Advertisers can then use the personalized insights and audiences that AMC generates to optimize campaign strategies, influence business decisions, and direct marketing execution. Create custom audiences using conversion events, segmentation information, interaction logs and more. Audiences created through AMC can be activated via Amazon DSP. Amazon Ads media channels and media can be used to gain a deeper understanding of the customer's shopping experience. Quantifies the advertising impact both on Amazon and off Amazon.
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    Skywise Reviews
    Skywise is a new aircraft option powered by Airbus and Palantir Technologies. Both are world-class data analytics providers. Skywise, a data platform for airlines, provides an industry data platform by combining inflight, engineering and operational data within an analytics-rich environment. The Skywise platform enables operators to make better decisions based on data insights, and enjoy a better aircraft-experience. S.FP+, when combined with the latest technologies from the Airbus Skywise Core Platform is a new step towards a data-driven organisation. It is a solution that integrates to improve technical operations team collaboration, aircraft dispatching, unscheduled events anticipation, and fleet safety. Based on extended aircraft sensors generated in flight and integrated with maintenance data.
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