ThoughtSpot and Salesforce Einstein Analytics compete in the business intelligence and analytics category. ThoughtSpot stands out with its simplicity and search functions, while Salesforce excels in integration and advanced analytics features.
Features: ThoughtSpot features quick setup, intuitive search capabilities, and the ability to handle large data sets efficiently. It charges by data amount, offering a cost-effective model. Salesforce Einstein Analytics offers predictive analysis, strong integration with Salesforce, and AI-driven insights that support data-driven decisions.
Room for Improvement: ThoughtSpot could improve visualization features and offer more flexible data connectivity options. It needs enhanced query flexibility and visualization customization. Salesforce Einstein Analytics could reduce complexity for non-expert users, improve mobile compatibility, and provide better transparency in pricing and algorithms.
Ease of Deployment and Customer Service: ThoughtSpot provides robust support and flexible deployment suitable for private and on-premises settings, with high customer service ratings. Salesforce Einstein Analytics is primarily deployed in public and hybrid cloud environments, praised for its responsive support team.
Pricing and ROI: ThoughtSpot offers competitive pricing between Tableau and Power BI, beneficial for smaller businesses with pricing based on data volume. Salesforce Einstein Analytics is seen as expensive, especially for smaller businesses, but offers enterprise clients strategic insights and operational efficiencies, making its higher investment worthwhile.
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.
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.
We have dedicated support contacts for our company, but pushing through features we need requires long processes and upvotes on their website despite the support.
The platform does not have technical problems with scaling data or connections.
Tableau, Power BI, or Looker have separate tools for preparation, customization, and storytelling.
Scalability depends on your contract with them, whether it's consumption-based or row-based.
The responsiveness of accessing live data is exceptional and faster than most other BI tools.
This workaround consumed a lot of resources and led to reduced performance, with pinboards loading for approximately two minutes for each filter criterion.
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.
A crucial feature we needed is missing, which involves restricting views of certain KPIs when users select conflicting parameters.
Handling governance when there are many models and dashboards is complex.
Currently, it is not as customizable as the options available on Power BI or Tableau.
HubSpot is expensive.
ThoughtSpot's pricing is reasonable and in line with other BI tools.
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.
The main core of HubSpot is to create models, connect data pipelines, and create business models and dashboards on top of them.
Salesforce Einstein Analytics is a customer and business analytics platform that’s optimized for mobile use and brings flexible customer analytics to everyone in the company. It works with many types of data, from many data sources, and it can change the way your company answers critical questions. Einstein Analytics allows you to:
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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