Best Customer Data Platforms (CDP) for Elasticsearch

Find and compare the best Customer Data Platforms (CDP) for Elasticsearch in 2026

Use the comparison tool below to compare the top Customer Data Platforms (CDP) for Elasticsearch on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    OpenDQ Reviews

    OpenDQ

    Infosolve Technologies, Inc

    $0
    1 Rating
    OpenDQ is a zero-cost enterprise data quality, master and governance solution. OpenDQ is modularly built and can scale to meet your enterprise data management requirements. OpenDQ provides trusted data using a machine learning- and artificial intelligence-based framework. Comprehensive Data Quality Matching Profiling Data/Address Standardization Master Data Management 360 View of Customer Data Governance Business Glossary Meta Data Management
  • 2
    Senzing Reviews
    Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records about people, organizations and their relationships in real time as new data is received. The highly accurate and complete views Senzing software delivers allow you to reduce costs and enable new revenue opportunities. Senzing provides a set of libraries that that can be deployed on premises or in the cloud, in a variety of ways, depending on your architecture and environment requirements. Data remains in your ecosystem and never flows to Senzing, Inc. Minimal data preparation is required when and no tuning, training or entity resolution experts are needed. A free proof of concept can be completed in about six hours on AWS or bare metal. You can try the Senzing API on up to 100K records for free.
  • 3
    Raptor Services Reviews
    Integrate your customer's interactions across various platforms and channels to ensure a personalized experience regardless of the point of contact. By utilizing Raptor’s Merchandising Center, you can transform your recommendation modules into valuable advertising spaces on your selected channels. This strategy allows you to enhance visibility for specific products, strategically placing them within the customer’s view to merge relevance with promotion. Moreover, you can offer real-time personalized product suggestions that contribute to a distinctive shopping experience. As a result, this approach can lead to an increase in basket size, order value, revenue per visit, and an overall enhancement of the customer experience. Additionally, sending highly personalized emails featuring product recommendations tailored to each individual can further strengthen customer engagement and loyalty.
  • 4
    Salesforce Data 360 Reviews
    Salesforce Data 360 is a real-time enterprise data engine designed to transform disconnected data into actionable intelligence. It unifies customer and operational data from multiple systems into a comprehensive business view. Using Zero-Copy architecture, organizations can activate live data directly from their existing warehouses without duplication. The platform supports both structured and unstructured data, including text, images, and streaming events. Identity resolution and data harmonization tools create consistent, reliable customer profiles. Governance features enforce privacy policies and compliance rules automatically. Data 360 enables dynamic audience segmentation and predictive modeling for smarter decision-making. Teams can trigger automated workflows based on real-time data changes. Insights can be shared securely with marketing platforms, analytics tools, and data warehouses. Data 360 empowers enterprises to activate trusted data across every channel and department.
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