Oracle Analytics Cloud vs Sigma comparison

Why PeerSpot?

Oracle and Sigma Computing are both solutions in the BI (Business Intelligence) Tools category. Oracle is ranked #18 with an average rating of 8.0, while Sigma Computing is ranked #16 with an average rating of 7.2. Oracle holds a 1.5% mindshare in BIT, compared to Sigma Computing’s 1.3% mindshare. Additionally, 77% of Oracle users are willing to recommend the solution, compared to 100% of Sigma Computing users who would recommend it.

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

6,955 Views
4,869 Comparison Views

77% willing to recommend

Sigma

Read 12 Sigma reviews

4,757 Views
3,758 Comparison Views

100% willing to recommend

Oracle Analytics Cloud

Sigma

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 1, 2025

Oracle Analytics Cloud and Sigma compete in the business intelligence space. Oracle seems to have an edge with its advanced analytics capabilities, while Sigma is favored for ease of use and flexible modeling features.

Features: Oracle Analytics Cloud offers powerful predictive analytics and machine learning features that appeal to organizations seeking AI-based data insights. It also provides a comprehensive suite of analytics tools for data preparation and visualization. Sigma, however, emphasizes collaborative analytics with a spreadsheet-like interface, enabling users to explore data independently. It also facilitates data modeling and integration, offering a business-friendly solution for data exploration and reporting.

Ease of Deployment and Customer Service: Oracle Analytics Cloud provides a thorough deployment process with strong technical support, suitable for enterprises with complex integration demands. Sigma offers a straightforward cloud-based deployment method, attracting businesses looking for quick implementation. Its customer support focuses on user-friendliness, making it appealing for deployment simplicity.

Pricing and ROI: Oracle Analytics Cloud requires a higher initial investment due to its wide-reaching capabilities, which can deliver substantial ROI through advanced analytics. Sigma presents a more budget-friendly option with pricing designed for rapid adoption and offers a faster path to ROI, ideal for companies needing efficient business intelligence tools. The key difference lies in Oracle's extensive capabilities compared to Sigma's affordability and ease of implementation.

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

Buyer's Guide

Oracle Analytics Cloud vs. Sigma

October 2026

Download the complete report

Helped 917,433 peers since 2012

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

18th

Ranking in Data Visualization

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Sigma

Ranking in BI (Business Intelligence) Tools

16th

Ranking in Data Visualization

14th

Average Rating

7.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 1.5%, down from 2.0% compared to the previous year. The mindshare of Sigma is 1.3%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Sigma	1.3%
Oracle Analytics Cloud	1.5%
Other	97.2%

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.

Read full review

Lh Hawes

Business Intelligence and Analytics Intern at Workato

Empowering sales teams has become effortless as collaborative dashboards compare rep performance

I cannot remember specifics, but there were one or two times when I wanted to build something in a dashboard but Sigma would not let me compute the math in the way that I wanted to compute it. It felt like it was a little bit limited in ability because there were very specific functions and specific mathematical computations that Sigma allows you to do, and if you want to do something outside of that, it did not seem like it was possible. There was one time where even with a Sigma support agent, we could not figure out the most effective way to accomplish the task and run a query that we wanted to. Expanding features and abilities and functions within Sigma could be one way to improve Sigma.

Read full review

Quotes from Members

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

Pros

"The technical support is excellent, and they respond quickly."

"This solution is not that well known by clients but is a great product to use."

"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."

"The stability of the product itself by virtue of the fact that it's a cloud product and Oracle is responsible for its hosting is valuable."

"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."

"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."

"The solution can scale."

"Using this tool, we were able to forget about using Excel and keep using it as the only source of data."

More Oracle Analytics Cloud pros

"Sigma is valuable because you can do pretty much anything you need to do within Sigma."

"I find the collaborative features, such as commenting, to be very valuable."

"Sigma is a great software for non-technical business users. If someone's familiar with pivot tables or Excel or Google Sheets, they should be able to pick up Sigma pretty quickly. There is a very low bar for onboarding."

"Sigma serves as the visualization and reporting front end."

"Sigma has positively impacted my organization because I think it has been a huge impact, and we use it for all our reporting and our dashboards for tracking."

"Sigma has excellent features, such as lookup tables where you can easily bring data that are not interrelated or at different granularity."

"Sigma has positively impacted my organization by creating a culture that we are trying to add to all processes, simplifying our processes and improving our analysis effort."

"Sigma's customer support is excellent, and that is actually one of the other reasons why we ended up going with Sigma, as we are able to hit the question mark and ask for support and get real live people that are very knowledgeable."

More Sigma pros

Cons

"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."

"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."

"The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. AI integration would be an interesting feature to add in the next release."

"When you implement the product on a small scale, it doesn't generate any ROI."

"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."

"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."

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

"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

"It felt like it was a little bit limited in ability because there were very specific functions and specific mathematical computations that Sigma allows you to do, and if you want to do something outside of that, it did not seem like it was possible."

"I would like to see better visualization options. That would allow me to build out more visually pleasing dashboarding in Sigma."

"I think Sigma can be improved because, for the last ten months since I first started here, this is my first time ever using it, and I think there is a steep learning curve."

"The main improvement needed is in data modeling capabilities. If they add those features in the near future, it would be very helpful for us to implement the same or do the data cleansing part in the Sigma tool itself."

"Sigma lacks a versioning feature to track changes. There is a need for better structuring, like a folder system, to organize diagrams efficiently."

"Sigma could have better reports."

"Sigma can be improved in terms of speed; it would be great if it could process the data even faster."

"I think Sigma's dashboarding has room for improvement."

More Sigma cons

Pricing and Cost Advice

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

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

"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."

"It is an expensive platform."

"A highly cost-effective solution"

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

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

More Oracle Analytics Cloud pricing and cost advice

"The retail price is set at one thousand dollars per creator per year."

See which vendors are best for you

Use our free recommendation engine to learn which BI (Business Intelligence) Tools solutions are best for your needs.

See recommendations

917,433 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

Government

Manufacturing Company

Construction Company

Financial Services Firm

13%

Manufacturing Company

10%

Outsourcing Company

10%

Healthcare 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	7
Midsize Enterprise	3
Large Enterprise	2

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...

See all answers

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...

See all answers

What needs improvement with Oracle Analytics Cloud?

See all answers

What is your experience regarding pricing and costs for Sigma?

I do not know much about my experience with pricing, setup cost, and licensing because I am not heavily involved in that.

See all answers

What needs improvement with Sigma?

I think Sigma can be improved by continuing to do what they are doing in leaning into AI and leaning into the Snowflake integration with AI. All of the conversational features that they have recent...

See all answers

What is your primary use case for Sigma?

My main use case for Sigma is for enterprise dashboards, which is originally why I brought it in, and self-service analytics. A quick and specific example of how I used Sigma for enterprise dashboa...

See all answers

Comparisons

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 7% of the time

Zoho Analytics vs Oracle Analytics Cloud

Compared 6% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 5% of the time

Oracle OBIEE vs Oracle Analytics Cloud

Compared 5% of the time

More Oracle Analytics Cloud Competitors

Omni vs Sigma

Compared 12% of the time

Hex vs Sigma

Compared 7% of the time

ThoughtSpot vs Sigma

Compared 5% of the time

Apache Superset vs Sigma

Compared 5% of the time

Tableau Enterprise vs Sigma

Compared 5% of the time

More Sigma Competitors

Product Reports

Buyer's Guide

Oracle Analytics Cloud

October 2026

Download Oracle Analytics Cloud product report

Buyer's Guide

Sigma

September 2026

Download Sigma product report

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

Sigma enhances data tasks with an Excel-like interface, encouraging collaboration and non-technical user engagement. Its strengths include handling vast datasets and facilitating real-time data exploration, appealing to industries aiming for data-driven decision-making.

Sigma stands out with its capabilities for real-time collaboration and ease of use due to its Excel-inspired interface. It supports engagement with large datasets and prioritizes strong data governance. Key features include live queries on cloud databases and seamless integration with Snowflake. Its AI capabilities and self-service access help users perform detailed reporting and pivot table creation from extensive datasets, significantly affecting organizational efficiency and decision-making processes.

What are Sigma's most important features?

Excel-like Interface: Facilitates ease of data interaction for non-technical users.
Real-time Collaboration: Enables users to work together simultaneously.
Large Dataset Handling: Efficiently manages extensive data volumes.
Live Cloud Data Queries: Access real-time data directly from the cloud.
Integration with Snowflake: Provides unified data views and seamless data access.
AI Capabilities: Enhances data processing and analysis efficiency.

What benefits or ROI should users look for?

Ease of Use: Simplifies data tasks for non-technical users.
Improved Efficiency: Enhances decision-making capabilities through comprehensive reporting.
Self-service Data Access: Allows independence in generating reports and data analysis.
Real-time Insights: Offers immediate data exploration and insights.
Data Governance: Ensures robust management of data security and integrity.

Sigma is predominantly used for creating dashboards, reporting, and data visualization. It assists in real-time data exploration and ad hoc analysis, connecting seamlessly with Snowflake for consistent data views. Sales teams use it for performance comparison dashboards, while marketing teams apply it for data migration assessments. Organizations leverage its comprehensive reporting and analytics for informed decision-making.

Sigma Computing

Sample Customers

Sejong Hospital

Snowflake, Fivetran ,Autodesk, Flowspace, Super League Gaming, Zumper, Clover, Volta, Olivela

Buyer's Guide

Oracle Analytics Cloud vs. Sigma

October 2026

Free Report: Oracle Analytics Cloud vs. Sigma

Find out what your peers are saying about Oracle Analytics Cloud vs. Sigma and other solutions. Updated: October 2026.

DOWNLOAD NOW

917,433 professionals have used our research since 2012.

See our Oracle Analytics Cloud vs. Sigma report.

See our list of best BI (Business Intelligence) Tools vendors and best Data Visualization vendors.

We monitor all BI (Business Intelligence) Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.