Software Alternatives & Reviews

Lisrel VS MicroStrategy

Compare Lisrel VS MicroStrategy and see what are their differences

Lisrel logo Lisrel

Lisrel is a scientific and statistical tool that provide the basic models and methods for structural equation modeling.

MicroStrategy logo MicroStrategy

MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.
  • Lisrel Landing page
    Landing page //
    2023-07-26
  • MicroStrategy Landing page
    Landing page //
    2023-05-07

Lisrel videos

Program Statistic - Review Software LISREL dan Software AMOS

More videos:

MicroStrategy videos

Overview of MicroStrategy Desktop 10.10

More videos:

  • Review - Introducing MicroStrategy 2019

Category Popularity

0-100% (relative to Lisrel and MicroStrategy)
Business & Commerce
100 100%
0% 0
Data Dashboard
5 5%
95% 95
Technical Computing
100 100%
0% 0
Business Intelligence
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Lisrel and MicroStrategy, you can also consider the following products

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.

Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

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

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.