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

5,572 Views
2,229 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.

Find out what your peers are saying about Salesforce, Splunk, Apache and others in Data Visualization.

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Buyer's Guide

Data Visualization

June 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 (16th)

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

"The optimization and flexibility of visualization tools."

"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."

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

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

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

"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 is user-friendly."

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

"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."

"The technical support services are good."

"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."

"Oracle Analytics Cloud's most valuable feature is its visualization."

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

More Oracle Analytics Cloud pros

Cons

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

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

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

"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."

"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."

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

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

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

"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 implementation of generative AI and machine learning should improve"

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

"This product does not support custom charts in the visualization."

"This solution could be more adaptable in its application."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

Information not available

"It is an expensive platform."

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

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

"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."

More Oracle Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Government

10%

Financial Services Firm

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 32% of the time

Tableau Enterprise vs ELK Kibana

Compared 26% of the time

Qlik Sense vs ELK Kibana

Compared 19% 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

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% 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

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 6% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Data Visualization

June 2026

Download ELK Kibana product report

Buyer's Guide

Oracle Analytics Cloud

July 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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