Best Marketing Analytics Software for SQL

Find and compare the best Marketing Analytics software for SQL in 2025

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

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    Google Cloud BigQuery Reviews

    Google Cloud BigQuery

    Google

    Free ($300 in free credits)
    1,861 Ratings
    See Software
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    BigQuery serves as a robust solution for marketing analytics, empowering organizations to examine customer interactions, assess campaign effectiveness, and identify market trends in real time. Its capacity to swiftly handle large datasets, combined with seamless integration with various marketing tools, makes it an essential asset for marketers aiming to refine their strategies. Through BigQuery, marketers can tap into data to uncover valuable insights about customer inclinations and market behavior. New users are offered $300 in complimentary credits to explore BigQuery’s analytics capabilities, allowing them to make informed, data-centric decisions that enhance their campaign efficiency. Additionally, the platform facilitates real-time data analysis, providing immediate insights into current marketing initiatives.
  • 2
    IBM Cognos Analytics Reviews
    Cognos Analytics with Watson brings BI to a new level with AI capabilities that provide a complete, trustworthy, and complete picture of your company. They can forecast the future, predict outcomes, and explain why they might happen. Built-in AI can be used to speed up and improve the blending of data or find the best tables for your model. AI can help you uncover hidden trends and drivers and provide insights in real-time. You can create powerful visualizations and tell the story of your data. You can also share insights via email or Slack. Combine advanced analytics with data science to unlock new opportunities. Self-service analytics that is governed and secures data from misuse adapts to your needs. You can deploy it wherever you need it - on premises, on the cloud, on IBM Cloud Pak®, for Data or as a hybrid option.
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