

Looker and ThoughtSpot compete in the business intelligence and data analytics category. ThoughtSpot appears to have an advantage in user-friendliness with its intuitive search capabilities, while Looker stands out due to its integration with Google BigQuery.
Features: Looker emphasizes an advanced developer experience using LookML to allow business users to model data and create visualizations effortlessly. It supports SQL integration for flexible data exploration and connects seamlessly with Google BigQuery. ThoughtSpot focuses on ease of use for non-technical users with its intuitive search capabilities. The AI-driven engine enhances data exploration and integrates well with platforms like Slack and Jira.
Room for Improvement: Looker could improve in offering more customizable visualization capabilities similar to Tableau. It also lacks options for direct data integration with Excel or REST APIs, reducing flexibility. ThoughtSpot needs improvement in visualization customization and integration with various tools. Users report challenges in governance and complex dashboard organization, and there can be slow responses to new feature requests.
Ease of Deployment and Customer Service: Looker primarily operates on the public cloud but satisfies private cloud needs, backed by strong technical support known for quick responses. However, some users experience delays with complex issues. ThoughtSpot, available on public and on-premises clouds, is recognized for its proactive support team and integration across various platforms. Both services have commendable customer service, with Looker showing slightly higher user satisfaction.
Pricing and ROI: Looker may have prohibitive pricing for smaller businesses, offering value for larger enterprises with significant ROI potential in decision-making. ThoughtSpot offers competitive pricing compared to Tableau, yet is more expensive than Power BI. Its flexible pricing model supports cost control. Both platforms show ROI potential, but ThoughtSpot emphasizes reducing costs through efficient data management.
The number of employees has reduced to half, and time is saved by nearly two to three hours a day because of automated reports.
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.
This tool has really improved our decision-making by 70 to 80% because we are able to rely on insights from different data sources from different departments.
Anyone with minimal knowledge of Looker can easily go through the documentation and understand the steps and the UI.
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 customer support for ThoughtSpot is very proactive and supportive, available 24/7.
I rate Looker's scalability a nine because of how easily we can scale by simply combining tables.
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 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.
The performance is not optimal on large data sets.
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.
The pricing, setup cost, and licensing for ThoughtSpot are competitive.
For a business user to understand data from free form or Essbase, it usually takes thirty minutes to an hour to go through the previous day's trend. However, with the visualization tools in Looker, they can easily understand the data and compare it to the previous one or two years using a bar graph, pie chart, or other graphs.
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 | Mindshare (%) |
|---|---|
| ThoughtSpot | 5.6% |
| Looker | 5.6% |
| Other | 88.8% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 8 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 14 |
Looker is a powerful data analytics platform that empowers businesses to explore and analyze their data in real time.
With its intuitive interface and robust features, Looker enables users to easily create and share interactive dashboards, reports, and visualizations.
The product's advanced data modeling capabilities and seamless integration with popular data sources make it a top choice for organizations looking to gain valuable insights from their data.
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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