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Denodo vs Elastic Search comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 3, 2024

Review summaries and opinions

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

ROI

Sentiment score
6.5
Denodo boosts ROI by enabling rapid reporting, improving decision-making, and streamlining data integration for enhanced efficiency and customer satisfaction.
Sentiment score
3.8
Organizations using Elastic Search reported improved efficiency, faster performance, cost savings, and enhanced data management, emphasizing positive outcomes.
It provides a positive return on investment for those who can connect multiple data sources and make data-driven decisions easily.
Information Technology Manager at Lockheed Martin
If you don't need to write a whole ETL to make the data virtualization, you need way fewer people to write a query instead of writing an ETL pipeline.
Senior Backend Engineer at a pharma/biotech company with 51-200 employees
I have seen a return on investment, which showed up in improved customer satisfaction scores.
Vice President at a financial services firm with 10,001+ employees
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
Software Engineer at Government of India
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
SOC A2 at Innodata-ISOGEN
The main benefits observed from using Elastic Search include improvements in operational efficiency, along with cost, time, and resource savings.
Senior Devops Engineer at Ubique Digital LTD
 

Customer Service

Sentiment score
6.9
Denodo support is responsive and helpful, but some users face delays in bug resolution and unfriendliness in the portal.
Sentiment score
6.3
Elastic Search customer service is praised for responsiveness and expertise, though some users note occasional slow responses.
They have a good methodology for learning how to use the tool.
Data Architecture and Engineering Specialist at coprocenva
Denodo's customer support team is very competent and responsive.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
If we raise a ticket, it can be resolved or addressed within a reasonable time frame, so support is good.
Principal Architect at a manufacturing company with 10,001+ employees
For P1 tickets, they provide very immediate quick responses and join calls to support and troubleshoot the issue accordingly.
Elastic Engineer at The Unique Identification Authority of India (UIDAI)
The customer support for Elastic Search is one of the best I have ever tried.
Software Developer at a media company with 10,001+ employees
They have always been really responsible and responsive to my requests.
Security Lead at a tech vendor with 501-1,000 employees
 

Scalability Issues

Sentiment score
7.1
Denodo effectively scales across organizations, managing many users and data sources, but performance may vary with automation and configuration.
Sentiment score
7.2
Elastic Search is scalable and reliable for high-volume tasks, though some users face challenges with cost and complex data handling.
For huge data requests, it cannot scale automatically; admin action is required.
Principal Architect at a manufacturing company with 10,001+ employees
Denodo's scalability comes into play specifically when there is data transfer.
Vice President at a financial services firm with 10,001+ employees
My client has almost 100 million records, and the performance was impacted in a way that required optimization.
Data Consultant at IT-Bots
We can search through that document quite easily, sometimes in 7 milliseconds, sometimes one or two milliseconds.
Product Engineer at A3L
Performance tests involving one million requests at once, we encountered issues with shards and nodes not upscaling as needed, leading to crashes and minimal data loss.
Consultant at a tech vendor with 10,001+ employees
I would rate its scalability a ten.
Backend Developer
 

Stability Issues

Sentiment score
7.0
Denodo is stable and reliable in production, with minor issues, praised for robustness but needs technical expertise for optimization.
Sentiment score
7.7
Elastic Search is reliable, especially under one terabyte, with occasional issues and challenges from frequent updates.
I would rate it nine out of ten because it is very reliable, always performing as expected.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
If JVM does not function properly, it may cause Denodo to fail to connect to different sources.
Technology Leader at eTCaaS
Denodo is stable and good.
Data Engineer at a consultancy with 11-50 employees
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
SOC A2 at Innodata-ISOGEN
The stability of Elasticsearch was very high.
Backend Developer
When you put one keyword, everything related to that keyword in your ecosystem will showcase all the results.
Chief Information Security Officer at CDSL Ventures Limited
 

Room For Improvement

Denodo should expand markets, improve UI and integration, address performance issues, and enhance support and documentation.
Users criticize Elastic Search for mapping conflicts, complex setup, high costs, and desire improved AI integration and better documentation.
Ensuring data caching is up to date is critical.
Director Software Engineer at a computer software company with 10,001+ employees
Denodo needs better communication on how the product can be deployed for specific solutions.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
The system has dependencies on other environments, like JVM, which can affect its performance.
Technology Leader at eTCaaS
From a technical point of view, there are no significant issues recalled as Elastic Search has been absolutely awesome for this use case and covers 100% of the needs.
Principal Scientific Computing Software Engineer at a educational organization with 1,001-5,000 employees
If I need to parse one million records saved into Elastic Search, it becomes a nightmare because I need to do the pagination, and it is very problematic in that regard.
Lead Engineer at Spidersilk
Observability features like search latency, indexing rate, and maybe rejected requests should be added to make the platform more reliable and accessible for everyone.
Senior System Engineer at EPAM Systems
 

Setup Cost

Denodo pricing is high, suitable for larger enterprises, with variable costs and value-enhancing features, seen as fair by many.
Elastic Search offers enterprise pricing based on nodes, with costs varying by features, support, and deployment options.
For small companies, it's not a solution that most small companies can afford.
Senior Backend Engineer at a pharma/biotech company with 51-200 employees
Denodo is considered pricey, limiting its use to large enterprises or government organizations that can afford its comprehensive setup.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
Denodo's pricing is not affordable for small companies and is more suitable for medium to large enterprises.
Technology Leader at eTCaaS
On the AWS side, it is very expensive because they charge based on query basis or how much data is transferred in and out, making it very expensive.
Lead Engineer at Spidersilk
Having the hosted solution and not having to pay for essentially a DevOps person on staff to manage makes it affordable.
CTO at a tech services company with 1-10 employees
You can host it on-premises, which would incur zero cost, or take it as a SaaS-based service, where the expenses remain minimal.
Senior Software Engineer at Agoda
 

Valuable Features

Denodo excels in data integration, virtualization, governance, and scalability, enhancing user experience with API and query optimizations.
Elastic Search enhances data handling with advanced search features, scalability, AI integrations, and powerful visualization via Kibana.
Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy.
Director Software Engineer at a computer software company with 10,001+ employees
The most valuable feature of Denodo is its uniformity of self-site data access types, which allows it to connect to almost any storage technology and feed it transparently.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
Denodo supports SQL base, so if you want to join two tables or two views, you can use SQL, which is an advantage as most developers or business people know SQL.
Principal Architect at a manufacturing company with 10,001+ employees
Elastic Search makes handling large data volumes efficient and supports complex search operations.
Software Engineer at Government of India
The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed.
Backend Developer
The speed with which Elastic Search is able to search through all of the documents we place into it is quite remarkable, as we search through 65 billion documents in less than a second in most cases, on a constant consistent basis.
Director, Software Engineering at a tech vendor with 10,001+ employees
 

Categories and Ranking

Denodo
Ranking in Cloud Data Integration
7th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
42
Ranking in other categories
Data Integration (6th), Data Virtualization (1st), Data Management Platforms (DMP) (4th), AI Data Analysis (2nd)
Elastic Search
Ranking in Cloud Data Integration
5th
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
96
Ranking in other categories
Indexing and Search (1st), Search as a Service (1st), Vector Databases (2nd)
 

Mindshare comparison

As of May 2026, in the Cloud Data Integration category, the mindshare of Denodo is 3.2%, down from 3.3% compared to the previous year. The mindshare of Elastic Search is 1.7%, down from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
Elastic Search1.7%
Denodo3.2%
Other95.1%
Cloud Data Integration
 

Featured Reviews

Patel-Dhulva - PeerSpot reviewer
Information Technology Manager at Lockheed Martin
Data virtualization has unified siloed sources and now supports real-time decisions
The best features Denodo offers stand out to me as the ability to develop REST web services fast and easily, create and combine new views, integrate different sources of data, and connect with other tools seamlessly. When I mention fast and easy creation of views and integration, I love the agile data provisioning and integration, where Denodo provides a comprehensive set of capabilities for implementing logical data integration, management, and delivery, which in turn enables agile data analytics and an informed decision-making process to be smooth. I also appreciate the performance optimization with AI, which improves performance optimization through the integration of artificial intelligence capabilities. Furthermore, I appreciate the unified security and governance, where it addresses the need for an organization to effectively manage security, data privacy, and data protection easily, offering a centralized platform that allows the application of governance policies and fine-grained security controls. Another feature I would add about Denodo is that it also provides a single point of control where we can establish security controls over the entire infrastructure and gain visibility into all our data assets. Denodo has positively impacted my organization as since we started using this tool, it has been very helpful because it is a huge advantage that we can connect to many different databases to provide data rapidly and accurately and also gain insights, which helps us to make data-driven decisions easily. It has proven to be a valuable environment for deploying data virtualization solutions, and its user community is active in finding and fixing issues more accurately. Through data insights from Denodo, we have been able to improve our decision making, which helps to better communication between the stakeholders thanks to the real-time experience. It also saves a lot of time.
reviewer2817942 - PeerSpot reviewer
Senior Software Engineer at a consultancy with 11-50 employees
Logging and vector search have transformed observability and empowered reliable ai agents
Elastic Search is not specifically being used for certain purposes. I deploy Elastic Search database on the cloud and use cloud services so that nobody can attack. However, I do not use Elastic Search to resolve attack issues. The basic main purpose of Elastic Search, as of now, I feel it can do more in the AI area. Sometime I saw that when I am developing RAG and have to generate the embeddings, which I call metadata, sometimes it tries to fail. That durability or issue handling should be improved, but apart from that, I did not find anything as of now. As per my use case, whatever I am using seems pretty good. Apart from that, some definitely improvement will be there. One improvement is that it should be faster. Whenever I am searching any logs, it takes much time. For example, if I open my log in Notepad or a similar tool, I can search the text within a second. With Elastic Search, it takes a little bit of time, ten to fifteen seconds. That can be improved. Sometimes, engineers take time to assign when I create a ticket.
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Manufacturing Company
11%
Government
7%
Energy/Utilities Company
6%
Financial Services Firm
12%
Computer Software Company
9%
Manufacturing Company
9%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise6
Large Enterprise21
By reviewers
Company SizeCount
Small Business39
Midsize Enterprise12
Large Enterprise47
 

Questions from the Community

Does Denodo provide useful data virtualization education? Is it useful to attend their training?
If you are a Denodo user, it makes sense to undergo their training. Different types of professionals can benefit from it, including administrators, developers, and architects. If you are keen on i...
In experience, what might Denodo be lacking or need improvement on?
I like Denodo a lot. It offers quick and easy web service deployment within minutes. There are not any flaws that I think make the product less good or effective. The only thing I can point out is...
Which industries can benefit from Denodo the most?
Denodo is suitable for pretty much all sectors that deal with: Big data Cloud solutions Data governance Logical data fabric Master data management In my opinion, organizations in different fields...
What is your experience regarding pricing and costs for ELK Elasticsearch?
When it comes to pricing, I think we had to pay AWS approximately 1,000 to 1,200 per month for the overall stack. I am not quite certain about how much Elastic Search costs specifically because I w...
What needs improvement with ELK Elasticsearch?
Elastic Search has many features, including Kibana and Logstash, which we regularly use. However, one downside in our product is cost, as it can be expensive when maintaining multiple shards and in...
What is your primary use case for ELK Elasticsearch?
As a developer, I use Elastic Search in developing one of my applications, basically integrating the back-end with Elastic Search. Our main use case for Elastic Search is for Logstash, which is a s...
 

Comparisons

 

Also Known As

Denodo for AWS
Elastic Enterprise Search, Swiftype, Elastic Cloud
 

Overview

 

Sample Customers

Autodesk, VHA, AAA, Sumitomo Mitsui Trust Bank, Caterpillar, European Chemical Agency, Seagate, Nationwide, Time Warner Cable, Pantex, Inditex, BNSF Railways, Vodafone, CIT Group, Jazztel, Wolters Kluwer, Telefonica, TransAlta
T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
Find out what your peers are saying about Denodo vs. Elastic Search and other solutions. Updated: April 2026.
893,244 professionals have used our research since 2012.