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Elastic Search vs Splunk Enterprise Security comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 15, 2026

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
4.1
Elastic Search boosts efficiency, reduces search times, improves security, lowers costs, and enhances product scaling and performance.
Sentiment score
6.2
Splunk Enterprise Security is valued for automation, efficiency, and comprehensive visibility, despite high costs for smaller enterprises.
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
The documentation for Splunk Enterprise Security is outstanding. It is well-organized and easy to access.
DevOps&Cloud Engineer Mentee at CertDirectory.io
We couldn't calculate what would have been the cost if they had actually gotten compromised; however, they were in the process, so every investment was returned immediately.
Business Development Manager at Axians Germany
On average, my SecOps team takes probably at least a quarter of the time, if not more, to remediate security incidents with Splunk Enterprise Security compared to our previous solution.
IT Orchestration Architect at Penn State University
 

Customer Service

Sentiment score
6.3
Elastic Search's support is praised for expertise and responsiveness, despite occasional delays and suggestions for faster response times.
Sentiment score
6.2
Splunk Enterprise Security support gets mixed reviews with praise for responsiveness but critique for delays and tiered issues.
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
It has been sufficient to visit conferences such as SCALE in Southern California Linux Expo, where Elastic Search has a booth to talk to their staff.
Principal Scientific Computing Software Engineer at a educational organization with 1,001-5,000 employees
We have paid for Splunk support, and we’re not on the free tier hoping for assistance; we are a significant customer and invest a lot in this service.
Senior System Administrator at a tech services company with 5,001-10,000 employees
I have had nothing but good experiences with Splunk support, receiving timely and helpful replies.
Cyber Security Associate at SAP
We've had great customer success managers who have helped us navigate scaling from 600 gigs to 30 terabytes.
Principal Engineer at Aviatrix
 

Scalability Issues

Sentiment score
7.3
Elasticsearch is highly scalable and efficient, requiring proper infrastructure planning for expanding and managing large datasets successfully.
Sentiment score
7.3
Splunk Enterprise Security is scalable and effective for large data, excelling in cloud but challenging on-premises.
We can search through that document quite easily, sometimes in 7 milliseconds, sometimes one or two milliseconds.
Product Engineer at A3L
I would rate its scalability a ten.
Backend Developer
Since we're on the cloud, whenever we need to upgrade or add resources, they handle everything.
Security Lead at a tech vendor with 501-1,000 employees
We currently rely on disaster recovery and backup recovery, which takes time to recover, during which you're basically blind, so I'm pushing my leadership team to switch over to a clustering environment for constant availability.
IT Security Engineer at a financial services firm with 201-500 employees
It is one of the things that separates it from other tooling, and if not, it is the most scalable solution out there.
Systems Development Engineer at a tech vendor with 10,001+ employees
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
CTO at a tech vendor with 10,001+ employees
 

Stability Issues

Sentiment score
7.7
Elastic Search offers strong stability, reliable performance, and efficient scalability across various environments, with occasional configuration needs.
Sentiment score
7.5
Splunk Enterprise Security is stable and reliable, with occasional performance issues and bugs quickly resolved with proper setup.
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
They test it very thoroughly before release, and our customers have Splunk running for months without issues.
Splunk System Engineer at a non-tech company with 11-50 employees
Splunk has been very reliable and very consistent.
Principal Engineer at Aviatrix
We need more SMEs, and there is no mechanism to tell us about indexer or search head issues.
Senior Manager at Bank of America
 

Room For Improvement

Elastic Search needs cost clarity, improved performance, user experience, configuration simplicity, scalability, documentation, and advanced machine learning features.
Splunk Enterprise Security requires enhancements in visualizations, ease of use, AI integration, and improved documentation and training.
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
Improving the infrastructure behind Splunk Enterprise Security is vital—enhanced cores, CPUs, and memory should be prioritized to support better processing power.
Resident Consultant (Security Analyst) at helpag
Splunk Enterprise Security is not something that automatically picks things; you have to set up use cases, update data models, and link the right use cases to the right data models for those detections to happen.
Security & Risk Analyst at a computer software company with 1,001-5,000 employees
For any future enhancements or features, such as MLTK and SOAR platform integration, we need more visibility, training, and certification for the skilled professionals who are working.
Security Consultant at Matiq
 

Setup Cost

Elastic Search pricing varies by usage and features, offering flexibility but potential high costs with complex deployments.
Splunk Enterprise Security is costly but valued for its extensive functionality, appealing mainly to larger enterprises with flexible licensing.
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
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
CTO at a tech vendor with 10,001+ employees
The platform requires significant financial investment and resources, making it expensive despite its comprehensive features.
System Engineer - Security Presales at Raya Integration
I find it to be affordable, which is why every industry uses it.
Vice President Research And Development at OSINT Ambition
 

Valuable Features

Elastic Search excels in full-text search, scalability, data indexing, visualization, AI features, and integrates well for enterprise solutions.
Splunk Enterprise Security enhances threat detection and response with risk-based alerting, integration, and advanced visualization for cybersecurity teams.
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
This capability is useful for performance monitoring and issue identification.
Staff Performance Engineer at ServiceNow
I assess Splunk Enterprise Security's insider threat detection capabilities for helping to find unknown threats and anomalous user behavior as great.
Splunk System Engineer at a non-tech company with 11-50 employees
Splunk Enterprise Security provides the foundation for unified threat detection, investigation, and response, enabling fast identification of critical issues.
Specialist-Infrastructure Opertions at Allianz Technology
 

Categories and Ranking

Elastic Search
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
91
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (5th), Search as a Service (1st), Vector Databases (2nd)
Splunk Enterprise Security
Average Rating
8.4
Reviews Sentiment
7.3
Number of Reviews
381
Ranking in other categories
Log Management (2nd), Security Information and Event Management (SIEM) (1st), IT Operations Analytics (1st)
 

Mindshare comparison

Elastic Search and Splunk Enterprise Security aren’t in the same category and serve different purposes. Elastic Search is designed for Indexing and Search and holds a mindshare of 12.0%, down 26.3% compared to last year.
Splunk Enterprise Security, on the other hand, focuses on Security Information and Event Management (SIEM), holds 7.2% mindshare, down 9.8% since last year.
Indexing and Search Mindshare Distribution
ProductMindshare (%)
Elastic Search12.0%
Lucidworks6.3%
OpenText Knowledge Discovery (IDOL)6.1%
Other75.6%
Indexing and Search
Security Information and Event Management (SIEM) Mindshare Distribution
ProductMindshare (%)
Splunk Enterprise Security7.2%
Wazuh5.8%
IBM Security QRadar5.3%
Other81.7%
Security Information and Event Management (SIEM)
 

Q&A Highlights

VV
DevOps Engineer at a tech company with 10,001+ employees
Nov 13, 2019
 

Featured Reviews

Anurag Pal - PeerSpot reviewer
Technical Lead at a consultancy with 10,001+ employees
Search and aggregations have transformed how I manage and visualize complex real estate data
Elastic Search consumes lots of memory. You have to provide the heap size a lot if you want the best out of it. The major problem is when a company wants to use Elastic Search but it is at a startup stage. At a startup stage, there is a lot of funds to consider. However, their use case is that they have to use a pretty significant amount of data. For that, it is very expensive. For example, if you take OLTP-based databases in the current scenario, such as ClickHouse or Iceberg, you can do it on 4GB RAM also. Elastic Search is for analytical records. You have to do the analytics on it. According to me, as far as I have seen, people will start moving from Elastic Search sooner or later. Why? Because it is expensive. Another thing is that there is an open source available for that, such as ClickHouse. Around 2014 and 2012, there was only one competitor at that time, which was Solr. But now, not only is Solr there, but you can take ClickHouse and you have Iceberg also. How are we going to compete with them? There is also a fork of Elastic Search that is OpenSearch. As far as I have seen in lots of articles I am reading, users are using it as the ELK stack for logs and analyzing logs. That is not the exact use case. It can do more than that if used correctly. But as it involves lots of cost, people are shifting from Elastic Search to other sources. When I am talking about pricing, it is not only the server pricing. It is the amount of memory it is using. The pricing is basically the heap Java, which is taking memory. That is the major problem happening here. If we have to run an MVP, a client comes to me and says, "Anurag, we need to do a proof of concept. Can we do it if I can pay a 4GB or 16GB expense?" How can I suggest to them that a minimum of 16GB is needed for Elastic Search so that your proof of concept will be proved? In that case, what I have to suggest from the beginning is to go with Cassandra or at the initial stage, go with PostgreSQL. The problem is the memory it is taking. That is the only thing.
Sathis-Kumar - PeerSpot reviewer
Senior Manager at Bank of America
Helps us detect cyber threats quickly and integrate multiple feeds effectively
Overall, the product is good, but when it comes to some infrastructure issues, we have to dig into more logs. There is no straightforward indication of an issue. Health check kind of dashboards are not available. More AI would help us, and more optimization, since security products run more queries. The AI module could suggest solutions, optimizing queries or workload balancing. If the product itself advises on running queries during peak times, it would be similar to what ChatGPT currently offers. We see quite a few issues on stability. Even last week, we faced something, and identifying bottlenecks is not easy. We need more SMEs, and there is no mechanism to tell us about indexer or search head issues. Self-monitoring dashboards could be beneficial. The technical support still requires more improvement. Often, primary support takes a lot of time and forwards most solutions to the engineering side. The primary support team has very limited knowledge to provide.
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Comparison Review

VS
Manager, Enterprise Risk Consulting at a tech company with 1,001-5,000 employees
Feb 26, 2015
HP ArcSight vs. IBM QRadar vs. ​McAfee Nitro vs. Splunk vs. RSA Security vs. LogRhythm
We at Infosecnirvana.com have done several posts on SIEM. After the Dummies Guide on SIEM, we are following it up with a SIEM Product Comparison – 101 deck. So, here it is for your viewing pleasure. Let me know what you think by posting your comments below. The key products compared here are…
 

Answers from the Community

VV
DevOps Engineer at a tech company with 10,001+ employees
Nov 13, 2019
Nov 13, 2019
First of all, we need to understand what those two softwares are; Splunk is a finished SIEM that is mainly used to analyze data, such as logs, net flows, etc. Splunk comes in different flavors, below I will include a link of all the products they have. https://www.splunk.com/en_us/software.html Some of them can be even downloaded or you can try them in the cloud, below I will give you a link ...
2 out of 4 answers
NF
Account-Manager at Consist ITU Environmental Software GmbH
Nov 11, 2019
We use ELK or other freeware stacks in isolated small scenarios. Think of a small or medium company with a „midsized“ webshop. You can easily do your Log management with an ELK-Stack, let's say size 5 up to 10 GB, no Problem. Please keep in mind to order Hardware. The best thing on ELK is that you can start immediately you don't have to wait for licensing and it's easy to build the first small things. Another Example: Your Marketing Dep. wants to do some singular evaluations and very specialized marketing stuff. It is temporary and they don't have the budget for licensing. The results are not for permanent use. Just use ELK. In my opinion, ELK is only cost-effective if you don't need to buy their professional service. You must leave the cases small. If you are looking for bigger scenarios or you want to build-up a SIEM, SOC or even doing elevated things like SOAR it is a very different kind of thing. There can be account issues that a developer usually won't mind at the first glance but a Controller will. You have to look at the Total Cost of Ownership, Scalability, Time to Market, Secureness of future development, maintenance e.g. If you want to build up a complex scenario with the secureness of scalability you should go with SPLUNK. If tomorrow there is a better tool with lower costs and less need for input of manpower I will refer to this.
AB
Associate Product Marketing Manager with 501-1,000 employees
Nov 11, 2019
Splunk: hard to use, expensive with predatory pricing, few OOTB rules, SOAR is a premium, good luck training analyst on their platform in under six months. SPLUNK SEARCH. ELK Stack: easy to use, open-source, no predatory pricing, more robust use cases OOTB, loved and used by millions all over the globe, open ecosystem that can integrate with almost any major IT stack out of the box. LUCENE.
 

Top Industries

By visitors reading reviews
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
9%
Retailer
7%
Financial Services Firm
12%
Computer Software Company
9%
Manufacturing Company
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business38
Midsize Enterprise10
Large Enterprise46
By reviewers
Company SizeCount
Small Business112
Midsize Enterprise50
Large Enterprise267
 

Questions from the Community

What do you like most about ELK Elasticsearch?
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time anal...
What is your experience regarding pricing and costs for ELK Elasticsearch?
On the subject of pricing, Elastic Search is very cost-efficient. You can host it on-premises, which would incur zero cost, or take it as a SaaS-based service, where the expenses remain minimal.
What needs improvement with ELK Elasticsearch?
From the UI point of view, we are using most probably Kibana, and I think they can do much better than that. That is something they can fine-tune a little bit, and then it will definitely be a good...
What SOC product do you recommend?
For tools I’d recommend: -SIEM- LogRhythm -SOAR- Palo Alto XSOAR Doing commercial w/o both (or at least an XDR) is asking to miss details that are critical, and ending up a statistic. Also, rememb...
What is a better choice, Splunk or Azure Sentinel?
It would really depend on (1) which logs you need to ingest and (2) what are your use cases Splunk is easy for ingestion of anything, but the charge per GB/Day Indexed and it gets expensive as log ...
How does Splunk compare with Azure Monitor?
Splunk handles a high amount of data very well. We use Splunk to capture information and as an aggregator for monitoring information from different sources. Splunk is very good at alerting us if we...
 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
No data available
 

Overview

 

Sample Customers

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.
Splunk has more than 7,000 customers spread across over 90 countries. These customers include Telenor, UniCredit, ideeli, McKenney's, Tesco, and SurveyMonkey.
Find out what your peers are saying about Elastic, Luigi's Box, OpenText and others in Indexing and Search. Updated: March 2026.
885,311 professionals have used our research since 2012.