Best Product Analytics Software for MySQL

Find and compare the best Product Analytics software for MySQL in 2024

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

  • 1
    Quaeris Reviews

    Quaeris

    Quaeris, Inc.

    $250 per month
    3 Ratings
    Top Pick See Software
    Learn More
    Voice and written support makes it easy to get answers. Based on your interests, history, and role, you will receive personalized and recommended results. Quaeris provides near-real-time data access for all data. Quaeris enhances your existing dashboards. To increase knowledge sharing and track performance, teams can share insights and pinboards. Ask questions in plain English. There's no need for keywords or queries. Our advanced AI engine transforms your inquiry to a database-ready language within seconds. Data is nothing without context, just like life. Our cognitive AI engine interprets search terms, interests, roles, and past history to provide ranks results that allow further exploration. You can easily add filters to search results to dig into the details and explore relevant questions.
  • 2
    Totango Reviews
    Easily and quickly design and manage any customer journey. The most widely used Customer OS provides everything you need to help your customers succeed. You can choose your customer journey or create your own. You can use our best practices templates to help you create your journey or initiative. Why not start from scratch? Securely connect all customer data to create a single view of your customer. Easy to manage and maintain. All your data is in one place. It's easier than ever to design, manage, and measure your best customer engagements. Automate workflows throughout your entire company. Hyper-personalized communications for each individual user can boost your digital engagement. Flexible and adaptable. It has everything you need to get started, tune, and grow.
  • 3
    Woopra Reviews
    Woopra is a Customer Journey Analytics platform that helps companies understand, analyze and retain customers. The platform is designed for optimization and growth across the entire customer lifecycle. The platform uses individual-level data to generate aggregate analytics reports that provide full lifecycle insights and bridge departmental gaps. Woopra's proprietary tracking technology tracks your usage across your website and mobile apps. The platform also offers 51+ integrations with partners like Salesforce, Marketo and Intercom. This allows you to seamlessly unify disparate data points across tools or teams.
  • 4
    rakam Reviews

    rakam

    Rakam

    $25 per user per month
    Rakam offers verticalized reporting capabilities for different teams' reporting needs. Rakam converts the questions you ask in the user interface to SQL, hiding the complexity for the end-users. rakam does not load data into your data warehouse. It expects you have all data in your data-warehouse. This allows you to analyze the data without having to pull data from outside your data warehouse. This blog post is about the topic. Rakam supports dbt core natively as the data modeling layer. rakam does not run your dbt transforms. Instead, it connects to your GIT repository and synchronizes all your dbt model automatically. rakam can create incremental DBT models. Make use of them to speed your queries and reduce your query costs. rakam creates programmatic roll-up models by hiding the complexity of aggregates in your dbt resources files.
  • 5
    Athenic AI Reviews
    Discover the nuance of trends by following a journey of guided data analytics questions. Self-service data analysis empowers your stakeholders. Give them the power to access and analyse the data they require, whenever they need it. Self-service analytics solutions can increase efficiency, reduce IT dependency, and help you make better data-driven decisions. Athenic AI can answer your questions by connecting to data in a database or data warehouse, or even an application such as a CRM or ERP platform. You don't need to know SQL or to hire a business analyst. Athenic is built to be able translate natural language into SQL queries. We've even added the ability to give the AI context in natural languages.
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