MicroStrategy and ThoughtSpot are competitors in the data analytics and business intelligence industry. Based on feature set comparison, MicroStrategy's maturity and extensive options in data processing seem to give it a competitive edge, especially for large enterprises.
Features: MicroStrategy is known for its strong architecture, scalability, and advanced data analysis tools, which cater to large data volumes with detailed reporting and dashboards. It offers Mobile BI options and supports a diverse range of visualization styles. ThoughtSpot is recognized for its search-driven analytics, providing users with ease of data query capabilities, allowing decisions to be made without deep technical knowledge. It provides intuitive tools for customized data visualization and analysis.
Room for Improvement: MicroStrategy users have raised concerns about the complexity involved in report development and a steep learning curve; enhancements are needed in interface simplification and process automation. ThoughtSpot could improve through expanded database connectivity and better customization options, addressing constraints in its current setup.
Ease of Deployment and Customer Service: MicroStrategy offers both on-premises and cloud deployment options. User feedback on customer service varies, with recommendations for faster response times. ThoughtSpot is similarly available in cloud and on-premises setups, although there is little comprehensive feedback regarding their support services.
Pricing and ROI: MicroStrategy follows a user-based or CPU-based licensing model, often seen as costly. Long-term scalability adds significant value, albeit with recommendations for more competitive pricing to cater to smaller businesses. ThoughtSpot's pricing is based on data usage rather than user count, offering predictable costs and appealing to smaller organizations with fluctuating user requirements.
Using ThoughtSpot has resulted in significant time savings and improved business sales by allowing us to identify sellers and buyers across regions, facilitating targeted marketing.
Based on our implementation in one project, we are trying to raise more funding to expand its use.
ThoughtSpot saves a significant amount of time compared to other tools and is very user-friendly.
I would rate the technical support from MicroStrategy as nine out of 10.
I stopped opening tickets due to insufficient and untimely responses.
ThoughtSpot provides a dedicated customer success person and the ability to submit tickets online, with a response time of no more than a day.
The knowledge base for ThoughtSpot is less robust compared to others.
MicroStrategy's scalability is good, as it has the possibility to read a lot of data and works fine with all the information that we have.
Tableau, Power BI, or Looker have separate tools for preparation, customization, and storytelling.
The platform does not have technical problems with scaling data or connections.
As our data has grown, I have validated huge datasets and complex models without significant issues.
I would rate the stability of MicroStrategy as nine out of 10.
I use it primarily for large datasets, and it performs faster than regular data visualization tools such as Power BI, which has limits on dataset size.
The upgrades are smooth with no downtime, which is super important.
The responsiveness of accessing live data is exceptional and faster than most other BI tools.
Organizations that are well-established and have more money can afford MicroStrategy, but startups and mid-level organizations who do not have this much budget have to opt for other cheaper tools.
MicroStrategy could learn from Power BI's user-friendly interface.
I would appreciate improvements in MicroStrategy related to integration or sharing features with Power BI.
Currently, it is not as customizable as the options available on Power BI or Tableau.
Handling governance when there are many models and dashboards is complex.
Enhancing integration capabilities with other tools like DBT would also be beneficial as it would make our lives easier.
HubSpot is expensive.
ThoughtSpot's pricing is reasonable and in line with other BI tools.
It's important because with MicroStrategy we can manage all our cubes and show data to our clients.
The MicroStrategy interface is not as good as Power BI, especially concerning the user-friendly aspects.
The most effective features of MicroStrategy for data analysis in my experience are the security, the metadata management, and the administration, along with the options of different workarounds available to accommodate different types of requirements.
Its compatibility with most databases, including the latest from FlexMovely and Redshift, allows users to create joins and worksheets easily.
This alerting feature is very beneficial for our company at the moment, and we use it extensively.
When I upload a data dump, AI analytics suggest possible data visualizations and insights, which I can pin to dashboards or live boards for modification.
| Product | Market Share (%) |
|---|---|
| MicroStrategy | 1.7% |
| ThoughtSpot | 1.5% |
| Other | 96.8% |
| Company Size | Count |
|---|---|
| Small Business | 37 |
| Midsize Enterprise | 26 |
| Large Enterprise | 100 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 12 |
Company: Founded in 1989, MicroStrategy (Nasdaq: MSTR) is a leading worldwide provider of enterprise software platforms. With direct operations in 26 countries worldwide and approximately 2,000 employees, our mission is to provide enterprise analytics, mobility, and security platforms that are flexible, powerful, scalable and user-friendly. To learn more, visit MicroStrategy online, and follow us on Facebook and Twitter.
Product portfoilio:
MicroStrategy 10 Secure Enterprise™ empowers leading organizations to analyze vast amounts of data and distribute actionable business insight throughout an enterprise through two distinct offerings: MicroStrategy Analytics™ and MicroStrategy Desktop™. MicroStrategy Analytics delivers reports and dashboards, and enables users to conduct ad hoc analysis and share insights anywhere, anytime, via mobile devices or the Web. It also combines the agility and productivity of self-service visual data discovery with the security, scalability, and governance features of enterprise-grade business intelligence. MicroStrategy Desktop is a standalone, on-premise visual data discovery tool designed to enable business users to analyze and understand their data. MicroStrategy Mobile™ enables organizations to rapidly build custom business applications that deliver analytics combined with transactions, multimedia, and custom workflows to mobile devices. MicroStrategy Secure Cloud™ combines all of the enterprise analytics, mobile, and security features in MicroStrategy 10 Secure Enterprise with powerful and scalable data integration, validation, and warehousing services — all delivered in an environment where organizations can deploy transformational analytics applications in minutes.
Usher, MicroStrategy’s breakthrough security solution, is a powerful mobile security platform designed to dematerialize traditional forms of identity verification (such as passwords, tokens, and physical badges) and replace them with a single mobile identity badge that is cryptographically linked to its owner’s smartphone and dynamically linked to an enterprise’s existing identity repositories. Usher works on standard Android and iOS smartphones, and also boasts an Apple Watch™ integration.
ThoughtSpot is a powerful business intelligence tool that allows easy searching and drilling into data. Its ad hoc exploration and query-based search features are highly valued, and it is easy to set up, stable, and scalable.
The solution is used for reporting purposes, self-service BI, and embedding into other applications for customers to do self-service analytics. It helps businesses with metrics, KPIs, and important insights by sourcing data from various sources into one golden source and visualizing it in an easy way for the business to consume. The pricing model is ideal, charging for data rather than the number of users.
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