Datadog vs. Splunk Enterprise

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.5 out of 10
N/A
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$0
Up to 5 hosts
Splunk Enterprise
Score 8.4 out of 10
N/A
Splunk is software for searching, monitoring, and analyzing machine-generated big data, via a web-style interface. It captures, indexes and correlates real-time data in a searchable repository from which it can generate graphs, reports, alerts, dashboards and visualizations.N/A
Pricing
DatadogSplunk Enterprise
Editions & Modules
Free
$0
Up to 5 hosts
Log Management
$1.27
Per Million Log Events
Standard
$15/host
Up to 500 hosts
Infrastructure
$15.00
Per Host Per Month
APM
$31.00
Per Host Per Month
Enterprise
Custom
500+ hosts
No answers on this topic
Offerings
Pricing Offerings
DatadogSplunk Enterprise
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
DatadogSplunk Enterprise
Considered Both Products
Datadog
Chose Datadog
Datadog has been harder to setup out-of-the-box compared to its alternatives, although it's graphs and dashboards have been more useful. Other tools handle individual tasks better. For example, Splunk has been the best logging tool I've used, and New Relic is great for CPU and …
Chose Datadog
It has been easier to work with Datadog for all our business needs and get things on their roadmap if we found it lacking. Currently we use a mix of various tools as they were existing prior to Datadog came. We are evaluating new offering like Datadog's latest log management to …
Chose Datadog
I am listing how Datadog is better than below chosen
NotSensu - Datadog has more integrations and easy to use UI.
Prometheus - Datadog Integration are more in number than, simple installation process
Chose Datadog
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
Splunk Enterprise
Chose Splunk Enterprise
We are using this because it has lots of advantage over others. And it seems to be a good fit for us. Splunk provides lot more features than others and its UI is user-friendly, so for a new developer, it would not be too difficult to use it and do something around it.
Top Pros
Top Cons
TrustRadius Insights
DatadogSplunk Enterprise
Highlights

TrustRadius
Research Team Insight
Published

Datadog markets itself as an IT infrastructure management tool, while Splunk Enterprise is security information and event management software. Despite this, both pieces of software are designed to collect large amounts of data produced by business applications. This data can then be used for data visualization and analysis.

Datadog and Splunk Enterprise are both favored by mid-sized companies and large enterprises. Datadog is slightly more popular with mid-sized businesses while Splunk is more popular with larger enterprises. Mid-sized companies likely appreciate Datadog’s high level of customization while larger businesses enjoy Splunk’s robust logging features.

Features

Datadog and Splunk Enterprise both offer strong data capture and analysis features. Because they specialize in slightly different markets, however, they have a few standout features that set them apart.

Datadog offers a high level of customization for its users. It has a flexible API and custom dashboards that are easier to engage with compared to the competition. Datadog is also a lightweight piece of software that doesn’t place heavy demands on servers.

Splunk Enterprise provides robust logging capabilities. Users can create custom rules and search logs using the software’s query language. Splunk Enterprise also offers a variety of online training documents written both by the company and by its online community. Lastly, Splunk Enterprise can set up detailed custom alerts to inform users about any errors or anomalies in data.

Limitations

Though Datadog and Splunk Enterprise both provide good data capture feature functionality, they also have a few limitations that are important to consider.

Analytics reports in Datadog are customizable but limited. Some users use a separate BI tool to handle complex analysis of data collected by Datadog. Datadog also charges for logging based on the number of log events. For businesses that log a lot of data, this can get expensive quickly.

Splunk Enterprise logs data well but searching that data can be slow when there is a lot of it. Additionally, while it is possible to create custom dashboards using Splunk Enterprise, the process is clunky and difficult for new users. Lastly, Splunk Enterprise places a greater demand on servers compared to Datadog.

Pricing

Datadog features are purchased individually, allowing users to buy only the ones they need. Additionally, a free trial is available for most features. Datadog feature packages include infrastructure, log management, APM, networks, synthetics, and real user monitoring. Package prices start as low as $5.00 per month and reach up to $31.00 per month.

Splunk Enterprise also offers a free trial for their software. There is only one business package for Splunk Enterprise that includes all its features. The price for the business package is dependent on the business.

Features
DatadogSplunk Enterprise
Security Information and Event Management (SIEM)
Comparison of Security Information and Event Management (SIEM) features of Product A and Product B
Datadog
-
Ratings
Splunk Enterprise
7.4
54 Ratings
6% below category average
Centralized event and log data collection00 Ratings6.553 Ratings
Correlation00 Ratings6.052 Ratings
Event and log normalization/management00 Ratings6.053 Ratings
Deployment flexibility00 Ratings7.549 Ratings
Integration with Identity and Access Management Tools00 Ratings7.549 Ratings
Custom dashboards and workspaces00 Ratings8.554 Ratings
Host and network-based intrusion detection00 Ratings7.037 Ratings
Data integration/API management00 Ratings8.35 Ratings
Behavioral analytics and baselining00 Ratings7.84 Ratings
Rules-based and algorithmic detection thresholds00 Ratings7.84 Ratings
Response orchestration and automation00 Ratings6.94 Ratings
Reporting and compliance management00 Ratings7.94 Ratings
Incident indexing/searching00 Ratings8.95 Ratings
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User Ratings
DatadogSplunk Enterprise
Likelihood to Recommend
9.1
(22 ratings)
7.0
(70 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(17 ratings)
Usability
10.0
(1 ratings)
9.0
(3 ratings)
Availability
-
(0 ratings)
10.0
(1 ratings)
Support Rating
8.9
(6 ratings)
8.4
(17 ratings)
Online Training
-
(0 ratings)
8.0
(1 ratings)
Implementation Rating
-
(0 ratings)
9.0
(2 ratings)
Product Scalability
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
DatadogSplunk Enterprise
Likelihood to Recommend
Datadog
DataDog Is well suited to all of the Infrastructure Monitoring Solutions, DB monitoring, and other Network monitoring also. It's not well suited because it cannot give perfect Infrastructure recommendations for our use case but also For example: If we are using AWS DB to monitor performance insights then Datadog is less effective there because AWS gives very niche recommendations.
Read full review
Splunk
Pros: Splunk is very well suited if you have multiple log sources of related data. All of them can be correlated and tasks can be automated based on the requirement. Other than alerts, Splunk can also run a specific script of your choice, based on some defined conditions. Cons: If you have a few logs but a large number of log sources, Splunk can be very expensive.
Read full review
Pros
Datadog
  • APIs, the ability to interact with the data we pull into data dog is key. We port the information over to Servicenow, so the ability to pull everything into DataDog, then Servicenow, is a key component of our success here at Wayfair.
  • Simple Interface - clean, useful, effective. Allows users to use DataDog for one reason, get work done.
  • Lightweight agent on hosts
Read full review
Splunk
  • Real-time + Scheduled alerts - i-e you can set up alerts which are actively monitoring your logs
  • Pretty good response time for search results. With our key/value logging, Splunk makes it blazing fast to query the data.
  • Dashboards provide insights into historical data
  • Love how Splunk indexes all of the data and provides keys to search on
Read full review
Cons
Datadog
  • We had a couple "integrations" that had some issues during setup, but Support addressed them very quickly
  • Unnecessary alerts about DataDog components...by the time I see them, they're almost always also fixed
  • I wish there was a DataDog mobile app that would have dedicated alerts (configurable per alert to override Do Not Disturb setting) instead of relying on emails notifications that could be overlooked in the midst of many incoming emails around the same time.
Read full review
Splunk
  • At times some queries can run slowly if indices are not on a portion of the query you use.
  • Setup time initially can be difficult if your logs aren't stored in common locations or in a common way to write the log.
  • Ability to ingest logs from different locations without having to change code to put logs in a certain place (pro and con).
  • Searches can be a bit more difficult to look through if your log isn't pulled in a manner that is easy to read through splunk.
Read full review
Likelihood to Renew
Datadog
No answers on this topic
Splunk
We are using Splunk extensively in our projects and we have recently upgraded to Splunk version 6.0 which is quite efficient and giving expected results. We keep track of updates and new features Splunk introduces periodically and try to introduce those features in our day to day activities for improvement in our reporting system and other tasks.
Read full review
Usability
Datadog
The user interface is quite intuitive with the exception of the network map. As a deployer of software, it is trivial to setup.
Read full review
Splunk
You can literally throw in a single word into Splunk and it will pull back all instances of that word across all of your logs for the time span you select (provided you have permission to see that data). We have several users who have taken a few of the free courses from Splunk that are able to pull data out of it everyday with little help at all.
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Reliability and Availability
Datadog
No answers on this topic
Splunk
When properly setup and configured, Splunk is extremely reliable.
Read full review
Support Rating
Datadog
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
Read full review
Splunk
Splunk maintains a well resourced support system that has been consistent since we purchased the product. They help out in a timely manner and provide expert level information as needed. We typically open cases online and communicate when possible via e-mail and are able to resolve most issues with that method.
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Online Training
Datadog
No answers on this topic
Splunk
The online course was simple clear and described the main capabilities of the solution. There is also an initial module that can be done for free so anyone can familiarize themselves with the functionality of this solution. On the other hand, however, there could be more free online courses. Maybe even with a certificate, this would broaden the group of people who are familiar with the platform while increasing familiarity with the solution itself.
Read full review
Implementation Rating
Datadog
No answers on this topic
Splunk
Smooth without too many major issues.
Read full review
Alternatives Considered
Datadog
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
Read full review
Splunk
I wanted to learn a new language that I can quickly master and implement. Splunk is easy, fun to use and best of all, it can be developed in hours not days or weeks. Splunk is fundamentally a programming language that is minimal but yet powerful enough to collect, analyze and visualize data.
Read full review
Scalability
Datadog
No answers on this topic
Splunk
Splunk can scale in to the petabyte per day range which of course is awesome
Read full review
Return on Investment
Datadog
  • Visibility into website issues and performance problems has improved our company communication.
  • Handling and detecting site issues faster has improved customer satisfaction and retention.
  • Configuration of the Datadog site can take a bit of time and we lost a bit of developer time during that process.
Read full review
Splunk
  • Overall very positive. It has provided visibility to what is going on within our network.
  • One drawback is the time it takes to get up to speed with the application, but this is up to the user, and Splunk education is excellent.
  • In my field, IT Security, there are few other friends to have in your back pocket better than Splunk. They are just that good.
Read full review
ScreenShots

Datadog Screenshots

Screenshot of Out-of-the-box and easily customizable monitoring dashboards.Screenshot of Datadog is built to give visibility across teams. You can discuss issues in-context with production data, annotate changes and notify your team, see who responded to that alert before, and remember what was done to fix it.Screenshot of Datadog seamlessly unifies traces, metrics, and logs—the three pillars of observability.Screenshot of Collect monitoring data from across your entire stack with Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map decomposes your application into all its component services and draws the observed dependencies between these services in real timeScreenshot of Centralize log data from any source.