Name: Review of ThoughtSpot Analytics
Item: ThoughtSpot Analytics
Rating: 4.5
Author: Verified Reviewer

Reviewed in Last 12 Months

How Alternatives Are Selected

1. Tableau

By Salesforce (Tableau)

4.4

(3986 Ratings)

As a data analyst, I have used Tableau for multiple projects and POC across different domains. Tableau made it easy for me to move raw data to meaningful insights without spending too much time on heavy technical steps. I am impressed with the list of data source connectors and how simple it is to connect to different data sources. The drag and drop interface feels very natural and simple, even when working on complex dashboards. When it comes to performance, it gave me more flexibility to handle large datasets while still keeping the dashboards responsive. Overall, Tableau has been a reliable and effective tool in my day to day work as a data analyst. It helped me deliver clear insights, Build impactful dashboards for the business organisations.

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2. Microsoft Power BI

By Microsoft

4.4

(3233 Ratings)

My overall experience with Power BI is a positive one, considering it the de facto standard for Business Intelligence in the Microsoft ecosystem and one of the most comprehensive on the market. What works exceptionally well is its seamless integration: from connecting to data in Azure, SQL Server, or Excel, through transformation with Power Query, to secure publishing and sharing via the web service, everything feels like a unified environment.

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3. Qlik Sense

By Qlik

4.5

(1341 Ratings)

Qlik Sense is our primary platform for providing internal users with business performance via a self-service analytics tool. It is easy to use by a variety of users of all skill levels.

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4. Amazon QuickSight

By Amazon Web Services (AWS)

4.3

(942 Ratings)

It's easy to do simple visualizations, but it's not great for more complex settings or changing the appearance, and I'm not happy with the slow loading times.

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5. Looker

By Google

4.5

(932 Ratings)

As a software engineer, my overall experience using Looker has been honestly pretty solid, mostly because it caters heavily to a developer-first mindset. The absolute biggest game-changer for me is LookML. Unlike other BI tools where you are stuck in a clunky drag-and-drop UI, Looker lets me actually write code to define the semantic layer. Being able to use Git for version control, open pull requests, and keep the logic DRY with extends and explores makes it feel like a natural extension of our standard engineering workflows. That said, it is not entirely without its quirks. While LookML is incredibly powerful, the learning curve can be a bit steep for non-devs. This sometimes means data requests still bottleneck with the engineering team. Also, debugging complex Persistent Derived Tables or deciphering the exact SQL Looker generates under the hood can occasionally turn into a frustrating rabbit hole. You quickly learn that Looker is only as fast as your underlying data warehouse. Overall, though, I really like using it. It perfectly bridges the gap between raw SQL and non-technical business users. I honestly do not dread building business dashboards anymore, simply because I know the underlying data models are robust and maintainable.

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6. Strategy One

By Strategy

4.5

(910 Ratings)

There is some intuitive features in Strategy that make it easy to create simple dashboards for business users. However, when you getting into more complicated side of analytics it really depends on how your company uses the product with how easy it is to use. As a business user, I get frustrated when some other the features that are available in web are not available in desktop and vice versa.

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7. SAP BusinessObjects BI Suite

By SAP

4.2

(832 Ratings)

Ease of use of the product and short learning curve. Any user can quickly learn the ways on how to build reports for the first time, the features are grouped logically and can be accessed easily.

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8. Sisense Fusion Analytics

By Sisense

4.1

(789 Ratings)

Sisense has allowed us to create robust dashboards and widgets that help us gain insight into our data. We previously used an in-house solution which took time away from product development. Using Sisense has allowed us to meet client specific needs as well as provide a company wide standardization for analytics. They have helped us scale and be nimble in our journey.

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