Best Business Intelligence Software for Apache Solr

Find and compare the best Business Intelligence software for Apache Solr in 2025

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

  • 1
    New Relic Reviews
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    Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.
  • 2
    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
  • 3
    Algonomy Reviews
    Algonomy's real-time Customer Data Platform (CDP) empowers marketers to deliver tailored customer experiences consistently and instantly. By consolidating customer identities from both online and offline sources, it facilitates immediate audience activation for a comprehensive perspective. Specifically designed for the retail sector, it can monitor customer actions using over 1,200 predefined metrics and attributes. The platform leverages machine learning algorithms to generate micro-segments, provide in-depth insights, and identify marketing opportunities at every stage of the customer journey. This innovative approach ensures that businesses can engage their customers effectively and adapt to their evolving needs in real-time.
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