Oracle Analytics Cloud vs Salesforce Einstein Analytics comparison

Why PeerSpot?

Oracle and Salesforce are both solutions in the BI (Business Intelligence) Tools category. Oracle is ranked #19 with an average rating of 8.0, while Salesforce is ranked #27 with an average rating of 7.7. Oracle holds a 1.4% mindshare in BIT, compared to Salesforce’s 1.1% mindshare. Additionally, 77% of Oracle users are willing to recommend the solution, compared to 86% of Salesforce users who would recommend it.

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

6,525 Views
4,568 Comparison Views

77% willing to recommend

Salesforce Einstein Analytics

Read 21 Salesforce Einstein Analytics reviews

3,925 Views
3,258 Comparison Views

86% willing to recommend

Oracle Analytics Cloud

Salesforce Einstein Analytics

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 1, 2025

Salesforce Einstein Analytics and Oracle Analytics Cloud compete in the analytics solutions space, with distinct strengths. Salesforce likened for ease of use and CRM integration, holds the upper hand in CRM-centric capabilities. Oracle, however, stands out with superior visualization and enterprise integration.

Features: Salesforce Einstein Analytics stands out with its user-friendliness, seamless Salesforce CRM integration, and capacity for handling large data volumes alongside AI-driven insights. Oracle Analytics Cloud shines in visualization capabilities, advanced data discovery, and adaptability across organizational functions, enhanced by integrated machine learning.

Room for Improvement: Salesforce users desire simplification in advanced data processing and mobile enhancements. They also seek better cost-effectiveness and regional adaptability. Oracle users suggest improvement in customization for data visualizations and desire expanded connectivity, alongside calls for better user-friendliness and cost management.

Ease of Deployment and Customer Service: Salesforce Einstein Analytics offers ease of deployment through public cloud environments, supported by Salesforce's renowned customer service, despite some inconsistencies in response times. Oracle Analytics Cloud offers flexible deployment options, including public, hybrid, private, and on-premises, though users report a need for better response times and technical support.

Pricing and ROI: Salesforce is perceived as costlier, with CRM integration justifying its pricing, providing valuable insights for CRM-centric businesses. Oracle Analytics Cloud is considered more affordable relative to features, competitive for enterprise users seeking comprehensive analytics with favorable ROI, though some find it costly compared to other tools.

To learn more, read our detailed Oracle Analytics Cloud vs. Salesforce Einstein Analytics Report (Updated: September 2026).

Buyer's Guide

Oracle Analytics Cloud vs. Salesforce Einstein Analytics

September 2026

Download the complete report

Helped 913,806 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

19th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (15th)

Salesforce Einstein Analytics

Ranking in BI (Business Intelligence) Tools

27th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 1.4%, down from 2.0% compared to the previous year. The mindshare of Salesforce Einstein Analytics is 1.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Oracle Analytics Cloud	1.4%
Salesforce Einstein Analytics	1.1%
Other	97.5%

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

Sunny Nair

Solution Architect And Senior Consultant at Keysight Technologies

Business insights improve with reliable integration but face occasional system downtimes

It is difficult to integrate the modules. The customization is also a little bit complex currently, but it is getting easier as they continue improving the market. There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline. There is downtime which still affects the particular product. I would provide a reliability rating of 70%, with 30% still having scope for improvement.

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 features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."

"The ability to quickly search for and access relevant data is crucial."

"It plays a crucial role in facilitating decision-making for various organizational stakeholders."

"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."

"The most valuable features of the solution are dashboarding and data visualization."

"It has the best feature for data augmentation."

"It's rather user-friendly."

"Oracle Analytics DV is amazing as it's giving the power to the users without involving IT."

More Oracle Analytics Cloud pros

"It is valuable for bringing transparency of the communication that has been happening from all different parts of the organization to a customer."

"The inbuilt features, like pictorial representation of the data and the ability to remap and realign the data, provide clarity in understanding sales perspectives."

"The insights it provides about customers are valuable; we get insights about the market, what they are doing, and what they're planning, and it is a comprehensive solution with everything in it so I can easily find what I need."

"The out-of-the-box features are good for companies that want to try analytics and data science interventions."

"I find Salesforce Einstein Analytics valuable because it is easier to use within Salesforce."

"It's scalable."

"There is definitely a lot of ROI in it."

"We have found the scalability to be very good."

More Salesforce Einstein Analytics pros

Cons

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

"They could improve the ease of developing the dashboard and interacting with it."

"The scalability has room for improvement."

"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."

"Enterprise customers shy away from purchasing Oracle Analytics Cloud and prefer competing solutions from Tableau and Microsoft."

"At this time, dataflows cannot be shared, but I think that this should be enhanced."

"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."

"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."

More Oracle Analytics Cloud cons

"The product must be more transparent."

"The product is expensive."

"There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline."

"All of the timesheets and appraisal management I have not been happy with. There should be some improvements. For example, as a management team, our managers do not have access to see a summary report, such as who is on leave today or how many hours each person logged in. You have to get into individual users and see. You cannot see a summary report, the reporting is missing. There should improve the reports."

"If I could improve Tableau CRM I would make it as powerful as Tableau. Tableau CRM is more integrated and it's on the web, but it has less functionality. It is lacking functionality at this time."

"The price of Salesforce Einstein Analytics is quite a bit expensive for the region of Mexico. I think the price of the product could be better."

"Support: Very less support now."

"They can provide more end-user customizations. There should be the possibility for the end-users to change some elements in the interface. I have a way of doing my job. My colleague may have his own way of doing his job. If I ask for a change, it'll change for everyone. It'll be good to have some end-user personalizations. I can't see many in Salesforce right now."

More Salesforce Einstein Analytics cons

Pricing and Cost Advice

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

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

"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."

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

"It is an expensive platform."

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

"We pay on a monthly basis and it is $10 per user each month."

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

More Oracle Analytics Cloud pricing and cost advice

"Salesforce has a subscription-based licensing structure, where it's between $20 to $75 per month, per user."

"Price-wise, Salesforce Einstein Analytics is an expensive tool."

"Although it was deemed slightly expensive and failed the cost analysis we conducted in our company, we proceeded with the purchase because we desired to have a leading CRM system in the industry."

"Salesforce Einstein Analytics can be considered somewhat expensive, depending on the company's needs. If they want the complete package with all the features, it's pricier. It all comes down to what the company requires from the platform."

"The biggest challenge we had was the cost and the licensing. We ended up getting an enterprise licensing agreement(ELA). That took a lot of negotiations and a lot of pressure. We were able to receive a good price for the community licensing they bundled Salesforce Einstein Analytics. They bundled a lot of capabilities with us with the ELA."

"The solution is expensive."

"I rate the solution's pricing a seven out of ten."

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

913,806 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

Government

Construction Company

University

Construction Company

16%

Financial Services Firm

12%

Outsourcing Company

Manufacturing 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	4
Large Enterprise	12

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 needs improvement with Salesforce Einstein Analytics?

See all answers

What is your primary use case for Salesforce Einstein Analytics?

It is more of an integrated platform where marketing, customer service, and the ticketing system are integrated into each other as a SaaS-based solution, which is what we use. For Marketing Cloud, ...

See all answers

What advice do you have for others considering Salesforce Einstein Analytics?

We use portions of Teams if I am not wrong, though it is managed by a different team and we do not use it much. On a scale of one to 100, I would say at least 70 to 80. I rate Salesforce Einstein A...

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 6% of the time

Oracle OBIEE vs Oracle Analytics Cloud

Compared 6% of the time

More Oracle Analytics Cloud Competitors

Tableau Enterprise vs Salesforce Einstein Analytics

Compared 19% of the time

Microsoft Power BI vs Salesforce Einstein Analytics

Compared 8% of the time

Oracle OBIEE vs Salesforce Einstein Analytics

Compared 6% of the time

Vertafore RiskMatch vs Salesforce Einstein Analytics

Compared 4% of the time

More Salesforce Einstein Analytics Competitors

Product Reports

Buyer's Guide

Oracle Analytics Cloud

September 2026

Download Oracle Analytics Cloud product report

Buyer's Guide

Salesforce Einstein Analytics

August 2026

Download Salesforce Einstein Analytics product report

Also Known As

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

Einstein Analytics, Salesforce Wave Analytics

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

Salesforce Einstein Analytics delivers intuitive predictive analysis and robust CRM integration, managing data effectively for real-time insights, enhancing decision-making, and enabling workflow efficiency through scalable, AI-driven capabilities.

Known for its intuitive interface, Salesforce Einstein Analytics excels in predictive analysis and integrates seamlessly with CRM platforms. This tool handles large volumes of data, creating interactive dashboards and providing real-time insights into business operations. Its AI-driven features enhance decision-making and workflow efficiency, offering personalization options and scaling capabilities. However, users note challenges with support, mobile accessibility, and data flow functionality. Deployment and coding complexity can complicate use, and mobile integration seems limited. Despite a high price, enhancements in transparency and data handling robustness, improved user interface customization, and greater regional adaptability would be beneficial.

What are the key features of Salesforce Einstein Analytics?

Intuitive Interface: Simplifies navigation and enhances user experience.
Predictive Analysis: Offers AI-driven insights for strategic decision-making.
CRM Integration: Seamlessly connects with CRM platforms for comprehensive data analysis.
Interactive Dashboards: Enables creation of dynamic, shareable visualizations.
Scalability: Supports growing data needs, accommodating increased loads.

What benefits and ROI can users expect?

Enhanced Decision-Making: AI insights provide data-driven decision support.
Workflow Efficiency: Streamlined processes improve productivity.
Data Management: Effective handling of large datasets ensures reliable analysis.
Customizable Solutions: Flexible options tailor analytics to unique business requirements.

Companies use Salesforce Einstein Analytics across industries for integrating platforms like Genesis and ServiceNow, building predictive models, and automating tasks. It is pivotal in creating dashboards from multiple data sources, syncing email communication, and gaining customer insights. By evaluating metrics and enhancing human capital management, it functions as an integrated platform for marketing and customer service, aiding in opportunity analysis and predicting deal closure likelihood.

Salesforce

Sample Customers

Sejong Hospital

ADS Securities, Alstom Grid, American Express, Barclays Bank, Coca-Cola, CoderDojo, Dubai Multi Commodities Centre, Financial Conduct Authority

Buyer's Guide

Oracle Analytics Cloud vs. Salesforce Einstein Analytics

September 2026

Free Report: Oracle Analytics Cloud vs. Salesforce Einstein Analytics

Find out what your peers are saying about Oracle Analytics Cloud vs. Salesforce Einstein Analytics and other solutions. Updated: September 2026.

DOWNLOAD NOW

913,806 professionals have used our research since 2012.

See our Oracle Analytics Cloud vs. Salesforce Einstein Analytics report.

See our list of best BI (Business Intelligence) Tools 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.