Oracle Analytics Cloud vs ThoughtSpot comparison

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Oracle Analytics Cloud

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Executive SummaryUpdated on Jan 1, 2025

ThoughtSpot and Oracle Analytics Cloud compete in the business analytics sector. ThoughtSpot's intuitive search capabilities and scalability give it an edge in fast data exploration, while Oracle's strength is in comprehensive data preparation and robust data integration suitable for large enterprises.

Features: ThoughtSpot offers intuitive search capabilities, fast loading times, and excellent scalability, empowering non-expert users to handle complex tasks efficiently. Oracle Analytics Cloud shines in comprehensive data preparation, machine learning capabilities, and robust integration with multiple data sources. Its visualizations and security features cater to large enterprise needs.

Room for Improvement: ThoughtSpot users seek more flexibility in visualization, better connectivity to different databases, and enhanced reporting functionalities, particularly SpotIQ. Oracle Analytics Cloud could improve its visualizations, user interaction, and metadata management. Price concerns also arise as it’s seen as expensive when scaling.

Ease of Deployment and Customer Service: ThoughtSpot provides smooth deployment across private and public clouds with well-regarded customer service responsiveness. Oracle Analytics Cloud offers public, private, and hybrid deployments, noted for proactive and helpful support teams. ThoughtSpot often receives praise for consistent support across enterprises.

Pricing and ROI: ThoughtSpot is viewed as competitively priced with flexible licensing models beneficial for smaller companies, showing positive ROI due to time savings. Oracle Analytics Cloud’s pricing is higher, especially compared to competitors like Tableau and Power BI, though some users justify the cost for its long-term benefits and strategic contributions to decision-making.

To learn more, read our detailed Oracle Analytics Cloud vs. ThoughtSpot Report (Updated: August 2026).

Oracle Analytics Cloud vs. ThoughtSpot

August 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Oracle Analytics Cloud

Ranking in BI (Business Intelligence) Tools

19th

Ranking in Data Visualization

16th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

ThoughtSpot

Ranking in BI (Business Intelligence) Tools

12th

Ranking in Data Visualization

11th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Embedded BI (4th)

Mindshare comparison

As of August 2026, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 1.4%, down from 2.6% compared to the previous year. The mindshare of ThoughtSpot is 1.7%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
ThoughtSpot	1.7%
Oracle Analytics Cloud	1.4%
Other	96.9%

BI (Business Intelligence) Tools

Featured Reviews

DavidMalizia

Head Of Data And Ai at a tech services company with 11-50 employees

Data projects have grown rapidly and support complex analytics and quick dashboard delivery

Some things that could be improved in Oracle Analytics Cloud is definitely the way it works. In some cases, for example, if you want to create analytic functions such as the percentage of a measure over another, which is a straightforward question you might ask, it appears simple to do, but the result is not what you expect. I would make it more user-friendly in terms of creating new measures. The measure creation feature could be improved. In terms of functionality, there are not many functions that are completely missing. There is one aspect that if you compare it with Power BI from Microsoft, which works completely in memory and therefore puts everything in memory to allow many calculations on the fly on what is in memory, that is missing, but it is architecturally different and would not be possible to ask for something like that. Some time features and time series analysis functions could be improved. Calculating a year ago and previous period functions could definitely work with some improvement.

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Purity Wairimu

Financial Analyst at Nestlé

Self-service analytics has empowered teams and now drives faster data-driven decisions

I have an experience of four years using ThoughtSpot. ThoughtSpot is very easy to use. Even non-technical users find it very easy to use and user-friendly. Some of the best features ThoughtSpot offers are innovation, ease of use, and data analytics. Reporting development is also pretty easy, making complex formulas slightly easier. Additionally, dashboarding for non-technical people, easy search of data, ease of getting insights, AI-driven analytics, and the ability to easily build charts are highlights. ThoughtSpot also offers data connection with live data sources. ThoughtSpot's scalability is impressive; it can handle large data easily, and performance has been powerful and reliable. The AI-driven analytics capabilities in ThoughtSpot help to predict future outcomes and are very helpful in tracking data, and performance is great.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It has the best feature for data augmentation."

"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."

"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."

"It's rather user-friendly."

"The dashboards, analytics, visualizations, and different reports are valuable for business analytics."

"Oracle Analytics Cloud allowed us to deliver faster analytics and to have a self-secured, self-tuning, self-maintained platform."

"Analytics Cloud allows you to merge various data types and structure data from multiple sources."

"The advanced calculations by the tool are highly effective"

More Oracle Analytics Cloud pros

"Stability is very important, and ThoughtSpot performs well."

"The tool is user-friendly for the end users."

"The scalability is good."

"The main core of ThoughtSpot is to create models, connect data pipelines, and create business models and dashboards on top of them."

"It is easy to set up the solution."

"The self-service analytics capabilities are unrivaled, making it a top-notch solution."

"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."

"The point which I found to be a strength point for Domo was collaboration while building dashboards and pipelines, and the volume of data it used to handle."

More ThoughtSpot pros

Cons

"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."

"Its machine learning and visualization capabilities can be improved. There should be more visualization options."

"The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment."

"When you want to scale up and improve the computing power, it becomes extremely costly."

"As with most BI tools, the visualizations can be made much nicer."

"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."

"The implementation of generative AI and machine learning should improve"

"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."

More Oracle Analytics Cloud cons

"The prediction model needs improvement. While NLQ is working perfectly fine and the data understanding capabilities of ThoughtSpot are good, there is room for improvement."

"Although it's a very nice feature to have, I don't think that is something which can survive alone."

"I would like to see more flexibility in adding the pins. Currently, we have four different sizes in which I can add pins, but I would like to be able to resize my pins."

"The one area of the solution that I do hear needs improvement is on the visualization front."

"Some areas for improvement include the pixel-perfect dashboards, which are not as refined as those in Tableau."

"ThoughtSpot is a fairly new product, so some usability aspects aren't as mature as we'd like them to be. One example is their organizational methodology, like how objects are organized in their dashboards inside the product. They're all on a flat list, which works if you've got five or 10 dashboards. However, it's insufficient when you're a large enterprise with multiple groups looking at the same dashboards. It isn't organized well."

"I encountered limitations mainly around UI and dashboard configuration."

"ThoughtSpot could be improved in that the only part where ThoughtSpot is lacking compared to the more traditional players such as Tableau and Power BI is regarding the options with the visualizations and the customizations abilities for those visualizations."

More ThoughtSpot cons

Pricing and Cost Advice

"I would rate it a five out of five in terms of the value received for the price charge."

"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."

"The tool's pricing is not unreasonable or non-competitive."

"A highly cost-effective solution"

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."

"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."

"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."

More Oracle Analytics Cloud pricing and cost advice

"I give the pricing a six out of ten."

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Top Industries

By visitors reading reviews

Government

10%

Financial Services Firm

10%

Construction Company

Manufacturing Company

Financial Services Firm

14%

Manufacturing Company

10%

Computer Software Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	7
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	1
Large Enterprise	17

Questions from the Community

Which Oracle product is better - OBIEE or Analytics Cloud?

Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OB...

What is your experience regarding pricing and costs for Oracle Analytics Cloud?

Pricing for Oracle Analytics Cloud works with how much you want it to cost. We have clients who have bought large amounts of Oracle and the price per product has gone down massively because they bo...

What needs improvement with Oracle Analytics Cloud?

What is your experience regarding pricing and costs for ThoughtSpot?

The pricing, setup cost, and licensing for ThoughtSpot are competitive, and it is a very user-friendly tool compared to its competitors. Setting it up was easy and straightforward.

What needs improvement with ThoughtSpot?

The customizability of the visualization live boards should be improved. Additional support for more data warehouse systems is needed, as data does not always match sometimes. Sophisticated data mo...

What is your primary use case for ThoughtSpot?

My name is Peter Chemo, a Financial Analyst at Nesto. One of the major challenges that ThoughtSpot solves is reducing the dependency on data teams for reports and insights. ThoughtSpot also integra...

SAP Business Data Cloud vs Oracle Analytics Cloud

Comparisons

Compared 7% of the time

Oracle OBIEE vs Oracle Analytics Cloud

Compared 7% of the time

Zoho Analytics vs Oracle Analytics Cloud

Compared 6% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 6% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% of the time

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Tableau Enterprise vs ThoughtSpot

Compared 8% of the time

Omni vs ThoughtSpot

Compared 8% of the time

Microsoft Power BI vs ThoughtSpot

Compared 6% of the time

Embeddable vs ThoughtSpot

Compared 4% of the time

Sigma vs ThoughtSpot

Compared 4% of the time

More ThoughtSpot Competitors

Product Reports

Download Oracle Analytics Cloud product report

Oracle Analytics Cloud

July 2026

Download ThoughtSpot product report

July 2026

Also Known As

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV

No data available

Overview

Oracle Analytics Cloud offers enterprise-grade dashboarding, visualization, and data integration with machine learning and NLP capabilities. Its cloud infrastructure supports data preparation, predictive analysis, and business analytics, enhancing decision-making for global users.

Oracle Analytics Cloud excels in providing a comprehensive platform for financial, procurement, and HR analytics. It integrates seamlessly with systems like ERP and Primavera, allowing users to develop dashboards for financial status, personal data management, and predictive sales analysis. Known for its ease of use and capacity to handle large data volumes, it supports enterprise-level transactions across financials and logistics, offering stakeholders valuable insights. However, improvements are needed in visualization variety, cost efficiency, and performance speed. Certain areas such as connectors, data modeling features, flexibility, and support resources require enhancement.

What are the most significant features of Oracle Analytics Cloud?

Enterprise-Grade Dashboarding: Offers robust visualization and reporting capabilities.
Data Visualization: Provides intuitive visual tools for data analysis.
Data Integration: Seamlessly connects with ERP, Primavera, and other systems.
Machine Learning: Incorporates ML for smarter analytics and predictions.
Natural Language Processing: Simplifies search and data queries with NLP.
Automatic Dashboards: Generates dashboards through the Explain function.

What are the key benefits and ROI of choosing Oracle Analytics Cloud?

Ease of Use: User-friendly interface simplifies data analysis for teams.
Scalability: Handles large data volumes and grows with business needs.
Fast Performance: Quickly processes and analyzes data to aid decision-making.
Secure Business Analytics: Offers secure data preparation and analysis.

In industries like finance, procurement, and HR analytics, Oracle Analytics Cloud supports decision-making by integrating with existing systems such as ERP and Primavera. Users create dashboards for assessing financial status and predicting sales, aiding business intelligence and enterprise transactions, especially in financials and logistics.

Oracle

ThoughtSpot offers analytics through a user-friendly interface, empowering non-technical users to explore data swiftly with AI-driven insights and search-based analytics, making data access and modeling efficient.

ThoughtSpot is designed for intuitive data exploration, enabling users to generate custom analytics and reports without deep technical expertise. Its strength lies in natural language processing, scalability, and seamless data connectivity. Customizable dashboards and interactive visualizations help organizations in effective decision-making. The emphasis on self-service analytics supports real-time data queries and enhanced data modeling. While popular for its quick insights, users note a steep learning curve and complex UI, seeking more customization options, better connectivity, and visualization features. Price and usability challenges, along with desires for improved dashboard stability and integration, are noted for large enterprise deployments.

What are ThoughtSpot's key features?

User-Friendly Interface: Enables non-technical users to explore data with ease through search-based analytics.
AI-Driven Insights: Utilizes powerful AI for fast, accurate data modeling and insight generation.
Natural Language Processing: Allows users to perform powerful analyses using everyday language.
Scalability: Supports large-scale data operations for growing enterprises.
Data Connectivity: Offers swift integration with data sources for seamless analytics operations.
Customizable Dashboards: Provides options for personalized and interactive data visualizations.
Self-Service Analytics: Empowers teams to create and analyze reports independently.

What benefits and ROI should users look for?

Reduced IT Dependency: Facilitates self-service for quicker analytics without IT intervention.
Informed Decision Making: Interactive visualizations and insights support strategic planning.
Time Efficiency: Quick data connectivity and AI-driven insights save valuable time.
Customization Flexibility: Offers users control over dashboard layouts and visualizations.
Improved Data Exploration: Easy access to data analysis boosts operational insights.

Industries leverage ThoughtSpot for self-service analytics, driving marketing, sales, and business intelligence operations. Companies benefit from its real-time data connectivity with modern data cloud platforms, enhancing internal operations through scalable data analysis. Non-technical users are empowered to perform ad-hoc analysis, data exploration, and visualize KPIs, optimizing strategic workflows across sectors.

Sample Customers

Sejong Hospital

Primary Capital Mortgage, Sterling Backcheck, RichRelevance, Rambus, Batteries Plus Bulbs