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Cribl vs Datadog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 5, 2025

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
6.3
Cribl enhanced data management efficiency, delivering cost savings, improved processing speed, system performance, and operational flexibility for users.
Sentiment score
7.2
Datadog optimizes costs, boosts efficiency, enhances debugging, saves time, and outperforms alternatives despite challenges in quantifying returns.
 

Customer Service

Sentiment score
6.8
Cribl customer service is praised for prompt responses, effective support, and community assistance, with a high satisfaction rating.
Sentiment score
7.3
Datadog's customer service is generally praised for responsiveness and expertise, though some users note delays and lack of phone support.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
 

Scalability Issues

Sentiment score
7.9
Cribl is scalable and easily integrates with CI/CD pipelines, receiving praise for efficient deployment and seamless cloud management.
Sentiment score
7.6
Datadog offers scalable performance and customization but users should monitor rising costs and potential challenges with complex architectures.
 

Stability Issues

Sentiment score
7.3
Cribl is generally rated 7-8 for stability, with minor bugs quickly addressed and continuous development enhancing reliability.
Sentiment score
8.0
Datadog is praised for its stability and reliable performance, effectively managing disruptions and supporting diverse operational needs.
 

Room For Improvement

Cribl needs better legacy compatibility, intuitive logging, enhanced documentation, improved onboarding, and desktop server functionality for developers.
Datadog users face challenges with billing, integration, interface complexity, and desire more flexibility, support, and improved features.
Perhaps more flexibility in terms of metrics would be helpful.
 

Setup Cost

Cribl offers a cost-effective, scalable pricing model with up to 30% cost reductions, appealing to mid-level and large enterprises.
Datadog's pricing varies by organization size, requiring careful monitoring and planning due to complex usage-based billing and potential hidden costs.
 

Valuable Features

Cribl streamlines real-time data transformation, log collection, and routing with user-friendly features, security, and extensive integration support.
Datadog excels in real-time monitoring, intuitive interface, robust integrations, efficient alerts, and comprehensive performance tracking and system reliability.
The community on Slack is excellent for solving questions and getting ideas.
 

Categories and Ranking

Cribl
Ranking in Application Performance Monitoring (APM) and Observability
14th
Ranking in Log Management
11th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
10
Ranking in other categories
Data Integration (16th), Cloud Data Integration (12th), Data Preparation Tools (4th)
Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in Log Management
3rd
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
186
Ranking in other categories
Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (2nd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (9th)
 

Mindshare comparison

As of January 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Cribl is 0.3%, up from 0.0% compared to the previous year. The mindshare of Datadog is 9.9%, down from 11.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Phanindra Ponnada - PeerSpot reviewer
Provides good documentation and worth the investment
As of now, there are some environments where some organizations are still on legacy infrastructure, so they are still in virtual environments and are using old versions of devices. Some companies bought Splunk, while others bought Cribl for a very low-priced license. There are some protocols to connect from Cribl to Splunk. I understand Cribl has come into the market very recently, but the tool might have had a picture in its mind where organizations might also have some legacy infrastructure. In the future, with our protocols or our level of architecture, Cribl should not come and say that it is not compatible with them. If Cribl is the reason because I have to change my environment, then I will have to end up investing more. There are some organizations where the end machines have forwarders that forward the data to Cribl, and from it, the data is forwarded to Splunk. This is how general architecture works. There are two methods of connection between Cribl and Splunk. One is the S2S protocol, which collects logs from Cribl or sends data between Cribl and Splunk. There is another method called HTTP Event Collector (HEC) and HTTPS protocol. With Cribl, connecting to Splunk mostly uses the S2S protocol. The tool supports all the latest devices and platform devices, like all the latest operating systems. There are some organizations where there is legacy infrastructure or if they are still on the old platforms. Companies using old platforms have to consider HTTP Event Collector (HEC), and then they have to change their infrastructure setup in order to fulfill that setup. In order to have Google and Splunk set up in my organization, if I have to change my existing infrastructure connectivity or setup, that might incur more cost or more investment for me to have Cribl and Splunk. Cribl should provide compatibility, or else the tool's developers should speak to the people of such organizations and understand the challenges. Cribl could have developed some version that can give backward compatibility.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
11%
Healthcare Company
8%
Government
7%
Educational Organization
39%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for Cribl?
I am not aware of the pricing details, however, I know they use a credit format for billing.
What needs improvement with Cribl?
At the moment, I don't have specific feedback on what can be improved as I do not work with Cribl daily. Perhaps more flexibility in terms of metrics would be helpful.
What is your primary use case for Cribl?
I am using Cribl to have everything centralized in one tool in terms of data collection. We were working with different Splunk customers, and Cribl helps collect data and then send it to an S3 buck...
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 ...
 

Comparisons

 

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Overview

 

Sample Customers

Information Not Available
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
Find out what your peers are saying about Cribl vs. Datadog and other solutions. Updated: January 2025.
831,265 professionals have used our research since 2012.