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Elastic Observability vs Splunk ITSI (IT Service Intelligence) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024

Review summaries and opinions

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

Customer Service

Sentiment score
6.7
Elastic Observability's customer service is praised for responsiveness, support resources, and comprehensive documentation, with stable system reducing support needs.
No sentiment score available
 

Room For Improvement

Sentiment score
4.0
Elastic Observability requires automation, improved metrics, advanced features, and better interfaces to address scalability, customization, and cost management challenges.
No sentiment score available
One example is the inability to monitor very old databases with the newest version.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
 

Scalability Issues

Sentiment score
5.7
Elastic Observability offers strong scalability, receiving positive ratings, with improved performance in higher subscription tiers and cloud installations.
No sentiment score available
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
 

Setup Cost

Sentiment score
2.0
Elastic Observability is cost-efficient for large enterprises but can be pricey for startups, with varied deployment pricing options.
No sentiment score available
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
 

Stability Issues

Sentiment score
8.3
Elastic Observability is highly stable and dependable, with fast performance and positive user feedback across diverse environments.
No sentiment score available
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
 

Valuable Features

Sentiment score
8.1
Elastic Observability offers cost-effective, scalable logging with machine learning, customization, and seamless Kibana integration for robust monitoring and security.
No sentiment score available
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
 

Categories and Ranking

Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
8th
Average Rating
8.0
Reviews Sentiment
5.9
Number of Reviews
26
Ranking in other categories
IT Infrastructure Monitoring (9th), Log Management (13th), Container Monitoring (4th), Cloud Monitoring Software (7th)
Splunk ITSI (IT Service Int...
Ranking in Application Performance Monitoring (APM) and Observability
11th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
49
Ranking in other categories
IT Alerting and Incident Management (4th)
 

Mindshare comparison

As of November 2024, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 6.5%, up from 5.2% compared to the previous year. The mindshare of Splunk ITSI (IT Service Intelligence) is 0.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Adelina Craciun - PeerSpot reviewer
Customization enables tailored monitoring and alerting across departments
The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.
Sunil K R - PeerSpot reviewer
Helps improve our incident response time, and our mean time to resolve, but visibility is limited
In my previous project, I successfully led the end-to-end deployment of a Splunk migration. The process went smoothly thanks in part to Splunk's professional services team. They conducted a thorough assessment, identified all our potential pain points, and developed a tailored solution and migration plan. This comprehensive approach ensured a seamless transition. Our core deployment team consisted of 5 internal members and two specialists from Splunk. Additionally, the project included a project manager and a product owner. We also benefited from the expertise of two professional service consultants and two representatives from the customer's side. An on-site admin architect further provided valuable technical support. Throughout the deployment process, we leveraged support from various resources whenever necessary. This included assistance with configuration changes, deployments, and other related tasks. We also collaborated effectively with our teammates to ensure a smooth and successful implementation.
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Computer Software Company
15%
Manufacturing Company
9%
Government
6%
Financial Services Firm
19%
Computer Software Company
13%
Government
13%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Elastic Observability?
Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...
What needs improvement with Elastic Observability?
I don't know how Elastic can improve. The integration feature I am using is very easy to implement.
What needs improvement with Splunk ITSI (IT Service Intelligence)?
Currently, Glass tables in ITSI only display metrics related to KPIs. I proposed adding an option to show metrics related to entities. This would eliminate the need for custom SPL to achieve this f...
 

Learn More

 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
TransUnion, Cox Automotive, Carnival Cruises, Leidos, Econocom, National Ignition Factory, Entrust Datacard, Molina Healthcare, United States Census Bureau
Find out what your peers are saying about Elastic Observability vs. Splunk ITSI (IT Service Intelligence) and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.