ELK Kibana vs Oracle Analytics Cloud comparison

Elastic and Oracle are both solutions in the Data Visualization category. Additionally, 60% of Elastic users are willing to recommend the solution, compared to 77% of Oracle users who would recommend it.

ELK Kibana

Read 4 ELK Kibana reviews

60% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

5,265 Views
2,106 Comparison Views

77% willing to recommend

ELK Kibana

Oracle Analytics Cloud

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between ELK Kibana and Oracle Analytics Cloud based on real PeerSpot user reviews.

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Buyer's Guide

Data Visualization

May 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

ELK Kibana

Average Rating

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Analytics Cloud

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (18th), Data Visualization (14th)

Featured Reviews

KentJones

Engineer at Raytheon Technologies

Visualization tools are optimized providing us with increased flexibility

One area that could be improved is security. Being an open source product, if you want to add security, if you want to add authentication, you've got to use a third party plugin that may or may not cost you, or alternatively upgrade to their subscription service, which is a downside as well. I think the types of visualizations are nice, but I think there's room to add more without having to go to third party plugins to do that. Just comparing the total number of visualizations that it provides compared to Grafana, you can see that it's lacking. The UI experience isn't as rich as it is with Grafana or certain other tools. I would like to see better authentication options, typical authentication options, like active directory and LDAP as well, just a richer UI with more graph type options.

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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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Quotes from Members

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

Pros

"Some visualization tools are optimized for time series like Kibana, which allows you to do both, and we like the flexibility of being able to analyze different types of data."

"Having a tool where you can find logs that were generated months ago, and being able to search over a long period of time, is great."

"The stability of this solution is fantastic, as it has not failed us for months and we use it extensively."

"The optimization and flexibility of visualization tools."

"The automatic update of the graphs from a dashboard is very convenient."

"The user interface is very good, and the data visualization is simple and user-friendly."

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

"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 scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."

"It's rather user-friendly."

"A valuable feature is the speed of the solution."

"Technical support is very fast and accurate."

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

"We use Analytics because we have a model for it which can be easily customized, and implementation time can be reduced because of this."

More Oracle Analytics Cloud pros

Cons

"This solution should allow the user to combine two indices into one graph and it should provide a unique count."

"One area that could be improved is security. Being an open source product, if you want to add security, if you want to add authentication, you've got to use a third party plugin that may or may not cost you, or alternatively upgrade to their subscription service, which is a downside as well."

"Populating data sometimes is also difficult for the user."

"Security could be improved thereby avoiding the necessity of a third party plugin."

"Having a kind of wizard that would help you when you are typing your search would make it easier and quicker to refine your search, and ultimately find what you are looking for."

"The solution could be more flexible."

"It is expensive."

"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."

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

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

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

"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."

"The product could benefit from increased flexibility compared to other vendors."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

Information not available

"It is an expensive platform."

"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."

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

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

"A highly cost-effective solution"

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

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

More Oracle Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

10%

Government

10%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

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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...

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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...

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What needs improvement with Oracle Analytics Cloud?

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Comparisons

Splunk Enterprise Security vs ELK Kibana

Compared 33% of the time

Tableau Enterprise vs ELK Kibana

Compared 25% of the time

Qlik Sense vs ELK Kibana

Compared 17% of the time

GoodData vs ELK Kibana

Compared 13% of the time

More ELK Kibana Competitors

Oracle OBIEE vs Oracle Analytics Cloud

Compared 7% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 7% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% of the time

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 6% of the time

Microsoft Power BI vs Oracle Analytics Cloud

Compared 6% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Data Visualization

May 2026

Download ELK Kibana product report

Buyer's Guide

Oracle Analytics Cloud

May 2026

Download Oracle Analytics Cloud product report

Also Known As

No data available

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

Overview

Kibana lets you visualize your Elasticsearch data and navigate the Elastic Stack, so you can do anything from learning why you're getting paged at 2:00 a.m. to understanding the impact rain might have on your quarterly numbers.

Elastic

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

Sample Customers

Sprint, Grab, Volkswagen, Autopilot, Voyages-SNCF.com, Just Eat, Accenture, Dell, Verizon Wireless, Kaidee, Green Man Gaming, Compare Group, Tango, Quizlet

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