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Matomo VS IBM Cloud Pak for Data

Compare Matomo VS IBM Cloud Pak for Data and see what are their differences

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Matomo logo Matomo

Matomo is an open-source web analytics platform

IBM Cloud Pak for Data logo IBM Cloud Pak for Data

Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.
  • Matomo Landing page
    Landing page //
    2023-10-23
  • IBM Cloud Pak for Data Landing page
    Landing page //
    2023-02-11

Matomo features and specs

  • Open Source
    Matomo is an open-source platform, allowing for customization and transparency in how data is collected and processed.
  • Data Ownership
    Users have full ownership of their data, ensuring that no third-party entities have access to sensitive information.
  • Privacy Compliance
    Matomo is designed with privacy in mind, making it easier to comply with GDPR, CCPA, and other data protection regulations.
  • Self-Hosting Option
    Matomo can be self-hosted, giving users complete control over their data security and server environment.
  • Feature-Rich
    The platform offers a wide range of features, including A/B testing, heatmaps, session recording, and more.
  • Community Support
    A large community of users and developers contributes plugins, improvements, and support, enriching the ecosystem.

Possible disadvantages of Matomo

  • Complex Setup
    The initial setup, especially for self-hosted versions, can be complex and time-consuming, requiring technical expertise.
  • Resource Intensive
    Running Matomo, particularly its self-hosted version, can be resource-intensive, requiring significant server capabilities.
  • Cost for Advanced Features
    While the basic version is free, advanced features and cloud hosting come at a cost, which might be expensive for small businesses.
  • Limited Integrations
    Matomo offers fewer integrations with other marketing and analytics tools compared to some other platforms like Google Analytics.
  • Learning Curve
    New users may find the interface and advanced features challenging to learn and navigate initially.
  • Performance Issues
    Some users report performance issues, particularly with large volumes of data or on less powerful servers.

IBM Cloud Pak for Data features and specs

  • Unified Platform
    IBM Cloud Pak for Data offers a unified platform that integrates various data management tasks, including data collection, processing, governing, and analyzing. This cohesion facilitates streamlined workflows and reduces the complexity involved in managing disparate tools.
  • Scalability
    The platform is designed to scale according to business needs, from small datasets to large-scale enterprise environments. Kubernetes-based containerization allows for efficient resource allocation and scalability.
  • AI and Machine Learning Integration
    IBM Cloud Pak for Data comes with built-in AI and machine learning capabilities, enabling organizations to leverage advanced analytics and predictive modeling directly within the platform.
  • Flexible Deployment Options
    Users can deploy IBM Cloud Pak for Data across multiple environments such as on-premises, private cloud, and public cloud, offering flexibility to meet various business and regulatory requirements.
  • Security and Compliance
    The platform includes robust security features that help ensure data protection and compliance with various regulatory standards, including GDPR and CCPA.
  • Integration with Existing Systems
    IBM Cloud Pak for Data supports APIs and connectors for seamless integration with existing systems and data sources, enabling smoother data flow and reducing the need for extensive custom development.
  • Comprehensive Toolset
    The platform offers a wide range of tools for data governance, data science, data engineering, and business analytics, providing a comprehensive solution for end-to-end data management.

Possible disadvantages of IBM Cloud Pak for Data

  • Learning Curve
    Given its comprehensive and feature-rich nature, IBM Cloud Pak for Data may have a steep learning curve, particularly for users who are new to IBM products or advanced data management tools.
  • Cost
    Depending on the scale of deployment and required features, the platform can be relatively expensive, potentially making it less suitable for smaller organizations with limited budgets.
  • Complexity
    The extensive capabilities and modular architecture can introduce complexity, requiring skilled personnel for effective implementation and management.
  • Dependency on IBM Ecosystem
    Organizations that are heavily invested in non-IBM technologies might find it challenging to integrate IBM Cloud Pak for Data seamlessly with their existing ecosystem.
  • Vendor Lock-In
    There is a risk of vendor lock-in, as committing to IBM Cloud Pak for Data can make it difficult to switch to alternative solutions without significant effort and cost.
  • Hardware Requirements
    Organizations opting for on-premises deployments may face significant hardware requirements, which could necessitate additional capital investment.
  • Customization Needs
    Depending on the specific needs of the organization, substantial customization might be required to tailor the platform to fit unique business processes and workflows.

Analysis of Matomo

Overall verdict

  • Matomo is a good choice for those who prioritize data privacy and require a comprehensive analytics tool that can be self-hosted. It's especially suitable for organizations hesitant about sharing data with third-party services and for those looking for customizable and transparent analytics solutions.

Why this product is good

  • Matomo is a popular open-source web analytics platform that provides in-depth insights into website traffic, user behavior, conversion rates, and more. It's considered a robust alternative to Google Analytics, with a focus on data privacy, as users can host the platform on their own servers or use Matomo's cloud-based service. Matomo offers features such as heatmaps, session recordings, goal tracking, and more, which can be particularly valuable for businesses looking to gain a detailed understanding of their website performance while maintaining control over their data.

Recommended for

  • Privacy-conscious businesses
  • Web developers
  • Data analysts
  • E-commerce sites
  • Organizations with in-house IT capabilities
  • Government and educational institutions
  • Non-profits looking for cost-effective solutions

Analysis of IBM Cloud Pak for Data

Overall verdict

  • IBM Cloud Pak for Data is considered a robust and comprehensive solution for data management and analytics.

Why this product is good

  • IBM Cloud Pak for Data offers a wide range of integrated tools for data collection, organization, and analysis. It is built on an open, extensible architecture that makes it compatible with other IBM services and third-party applications. The platform is designed to accelerate data science and AI projects, with enhanced capabilities for data governance and security. Additionally, it supports hybrid cloud environments, which offers flexibility and scalability for enterprises.

Recommended for

  • Large enterprises looking for an integrated data and AI platform.
  • Organizations seeking a solution that supports hybrid and multi-cloud environments.
  • Data science teams needing robust tools for machine learning and data governance.
  • Businesses aiming to enhance data-driven decision-making processes.

Matomo videos

+ Add

WP-Matomo (WP-Piwik) Review: Open Source Analytics For WordPress

More videos:

  • Review - Matomo Analytics - Dashboards
  • Review - AMU WEBD122 - Spohnholtz Piwik Analytics Review
  • Review - What are the differences between Matomo Analytics and Google Analytics
  • Review - Matomo On-Premise installation overview

IBM Cloud Pak for Data videos

+ Add

IBM Cloud Pak for Data - Product Walkthrough

More videos:

  • Review - Overview of IBM Cloud Pak for Data

Category Popularity

0-100% (relative to Matomo and IBM Cloud Pak for Data)

Matomo

IBM Cloud Pak for Data

Analytics
100 100%
Analytics
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Web Analytics
100 100%
Web Analytics
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Matomo and IBM Cloud Pak for Data. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Matomo and IBM Cloud Pak for Data

Matomo Reviews

Top 5 Plausible Analytics Alternatives in 2024
With advanced web analytics Matomo Analytics also provides eCommerce analytics capabilities.
Source: www.putler.com
Top 9 Plausible Analytics alternatives in 2024
Matomo, one of the best Plausible analytics alternatives, an open-source analytics platform, prioritizes data ownership and customization. It allows users to host analytics on their servers, ensuring complete control over collected data.
Source: usermaven.com
Top 5 Self-Hosted, Open Source Alternatives to Google Analytics
Use Case Example: A healthcare website uses Matomo to securely track user interactions while maintaining strict compliance with health data privacy regulations.
Source: zeabur.com
Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
Piwik PRO offers similar if not same benefits as mentioned above and makret themselves a tool for “Technical Marketers”. If you did not know then let me tell you that Matomo and Piwik PRO both these products emerged from the humble beginnings of the Piwik project but have since charted a slightly different paths.
Source: rishikap372.medium.com
Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
Piwik PRO offers similar if not same benefits as mentioned above and makret themselves a tool for “Technical Marketers”. If you did not know then let me tell you that Matomo and Piwik PRO both these products emerged from the humble beginnings of the Piwik project but have since charted a slightly different paths.
Source: medium.com

IBM Cloud Pak for Data Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
IBM Cloud Pak for Data is a fully-integrated, cloud native, data and AI platform designed for sophisticated DataOps and business analytics solutions. IBM boasts a potential for a 25-65% reduction in extract, transform, load (ETL) requests by eliminating the complexities of data integration of different data types and structures using Cloud Pak for Data. You can customize...
Source: theqalead.com

Social recommendations and mentions

Based on our record, Matomo seems to be more popular. It has been mentiond 86 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Matomo mentions (86)

  • Indie Hacking with Open Source Tools: Innovating on a Budget
    Another case involves a duo launching an eco-friendly e-commerce website. Using WordPress paired with WooCommerce, they built a fully featured site with a sustainable operational model. Enhanced analytics from Matomo brought data-driven insights and growth strategies to life. This project highlights the benefits of cost-effective, community-driven solutions in the competitive e-commerce landscape. - Source: dev.to / 28 days ago
  • 10 of the Best Web Analytics Tools for React Websites
    As an open-source cloud and on-premise tool, Matomo gives users complete control over their data, allowing them to host it on their servers and comply with privacy regulations such as GDPR. - Source: dev.to / 2 months ago
  • Indie Hacking with Open Source Tools: Innovating on a Budget
    Analytical tools like Matomo provide critical insights into user behavior and site performance. - Source: dev.to / 3 months ago
  • Show HN: Vince – A self hosted alternative to Google Analytics
    Matomo is another one… https://matomo.org/. - Source: Hacker News / 6 months ago
  • 🔥Matomo 5 UPGRADE - A step-by-step GUIDE 🤌
    Matomo just released their major v5 upgrade with following key improvements:. - Source: dev.to / over 1 year ago
View more

IBM Cloud Pak for Data mentions (0)

We have not tracked any mentions of IBM Cloud Pak for Data yet. Tracking of IBM Cloud Pak for Data recommendations started around Mar 2021.

What are some alternatives?

When comparing Matomo and IBM Cloud Pak for Data, you can also consider the following products

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

Fathom Analytics - Simple, trustworthy website analytics (finally)

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

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