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Datadog vs Splunk Enterprise Security comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 1, 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
7.6
Datadog's customer service is generally praised for responsiveness and expertise, though some users note delays and lack of phone support.
Sentiment score
7.2
Splunk Enterprise Security's support is generally praised for responsiveness and knowledge but criticized for delays and inconsistent quality.
 

Room For Improvement

Sentiment score
5.6
Datadog users face challenges with billing, integration, interface complexity, and desire more flexibility, support, and improved features.
Sentiment score
6.2
Splunk Enterprise Security is costly and complex, with users seeking better integration, usability, support, and enhanced features like AI.
 

Scalability Issues

Sentiment score
7.9
Datadog offers scalable performance and customization but users should monitor rising costs and potential challenges with complex architectures.
Sentiment score
6.0
Splunk Enterprise Security is scalable and adaptable, handling large data volumes and multiple users easily but can be costly.
 

Setup Cost

Sentiment score
6.3
Datadog's pricing varies by organization size, requiring careful monitoring and planning due to complex usage-based billing and potential hidden costs.
Sentiment score
7.7
Splunk Enterprise Security's pricing is perceived as high due to its licensing model and extensive features, often deterring SMEs.
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its stability and reliable performance, effectively managing disruptions and supporting diverse operational needs.
Sentiment score
4.8
Splunk Enterprise Security is praised for stability, reliability, low maintenance, and high performance, with minor issues quickly resolved.
 

Valuable Features

Sentiment score
8.4
Datadog excels in real-time monitoring, intuitive interface, robust integrations, efficient alerts, and comprehensive performance tracking and system reliability.
Sentiment score
8.7
Splunk Enterprise Security excels in dashboards, reporting, flexibility, scalability, support, log aggregation, alerting, integration, and efficient large data handling.
 

Categories and Ranking

Datadog
Ranking in Log Management
3rd
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
187
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
Splunk Enterprise Security
Ranking in Log Management
1st
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
301
Ranking in other categories
Security Information and Event Management (SIEM) (1st), IT Operations Analytics (1st)
 

Mindshare comparison

As of December 2024, in the Log Management category, the mindshare of Datadog is 6.0%, down from 8.3% compared to the previous year. The mindshare of Splunk Enterprise Security is 9.0%, down from 13.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management
 

Featured Reviews

Kevin Palmer - PeerSpot reviewer
Useful log aggregation and management with helpful metrics aggregation
Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.
Avinash Gopu. - PeerSpot reviewer
Offers good visibility into multiple environments, significantly reduces our alert volume, and speeds up our security investigations
There are limitations with Splunk not detecting all user activity, especially on mainframes and network devices. This is because Splunk relies on agents, which cannot access certain workstations. In these cases, we have to rely on application data. For example, with mainframes, manual reports are generated and sent to Splunk, limiting visibility to what's manually reported. This lack of automation for specific platforms needs improvement from Splunk. Additionally, API access is limited for other applications that rely on API calls and requests. This requires heavy customization on Splunk's end. These are the main challenges we've encountered. Monitoring multiple cloud platforms, like Azure, GCP, and AWS, with Splunk Enterprise Security presents some challenges. While Splunk provides different connectors for each provider, consolidating data from two domains across distinct cloud environments can be complex. However, leveraging pre-built templates and Splunk's data collation capabilities can help overcome these hurdles. Despite initial difficulties, I believe Splunk can effectively address this task, earning it an eight out of ten rating for its multi-cloud monitoring capabilities. While Splunk Enterprise Security offers insider threat detection capabilities, its effectiveness could be enhanced by integrating with additional tools, such as endpoint security solutions. This integrated approach is particularly crucial for financial institutions, which often require dedicated endpoint security teams. While using multiple tools is valuable, further improvements within Splunk itself are also necessary. Considering both external integration and internal development, I would rate its current insider threat detection capabilities as three out of ten. Threat detection is where Splunk falls behind. While it offers tools, other use cases require additional work. PAM is an enterprise tool that centralizes information about users, servers, and everything else. It needs real-time monitoring, which I haven't seen in any of the companies I've worked for. They only rely on Splunk for alerting, but real-time monitoring should be handled by the endpoint security team's tools. This means there's no detection or analysis at the machine or endpoint level. Additionally, threat analysis reporting is also absent.
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Comparison Review

VS
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…
 

Top Industries

By visitors reading reviews
Educational Organization
38%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
7%
Financial Services Firm
16%
Computer Software Company
14%
Government
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
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...
 

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Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
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 Datadog vs. Splunk Enterprise Security and other solutions. Updated: December 2024.
823,795 professionals have used our research since 2012.