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Cribl vs SAS Data Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 15, 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
6.5
SAS Data Management improves data accuracy and reliability, aiding cost efficiency and reporting, crucial in the pharmaceutical industry.
 

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
7.1
SAS Data Management customer service is generally reliable but mixed, with efficient technical support and room for improvement.
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
7.3
SAS Data Management is scalable, supporting enterprises globally with adaptable performance, seamless integration, and efficient complex data handling.
 

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
7.6
SAS Data Management is reliable and efficient, with server stability on Linux, but Windows client may require restarts.
 

Room For Improvement

Cribl needs better legacy compatibility, intuitive logging, enhanced documentation, improved onboarding, and desktop server functionality for developers.
SAS Data Management requires improved cost efficiency, flexibility, user interface, cloud capabilities, integration, accessibility, and training resources.
Perhaps more flexibility in terms of metrics would be helpful.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
 

Setup Cost

Cribl offers a cost-effective, scalable pricing model with up to 30% cost reductions, appealing to mid-level and large enterprises.
SAS Data Management is expensive but provides high value, with more affordable solutions integrating multiple functions for data management.
From my experience, SAS Data Management is an expensive tool.
 

Valuable Features

Cribl streamlines real-time data transformation, log collection, and routing with user-friendly features, security, and extensive integration support.
SAS Data Management provides seamless integration, quality, and governance with a user-friendly interface and robust transformation capabilities.
The community on Slack is excellent for solving questions and getting ideas.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
 

Categories and Ranking

Cribl
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
10
Ranking in other categories
Application Performance Monitoring (APM) and Observability (14th), Log Management (9th), Security Information and Event Management (SIEM) (12th), Observability Pipeline Software (1st)
SAS Data Management
Average Rating
8.4
Reviews Sentiment
6.8
Number of Reviews
17
Ranking in other categories
Data Integration (36th), Data Quality (12th), Data Governance (28th)
 

Mindshare comparison

Cribl and SAS Data Management aren’t in the same category and serve different purposes. Cribl is designed for Observability Pipeline Software and holds a mindshare of 46.0%, down 48.3% compared to last year.
SAS Data Management, on the other hand, focuses on Data Integration, holds 0.8% mindshare, up 0.6% since last year.
Observability Pipeline Software
Data Integration
 

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.
Vivek Trivedi - PeerSpot reviewer
Has robust data governance capabilities and efficient financial alerting features
The platform's robust data governance capabilities ensure strong compliance with regulatory standards. Our dedicated data governance team is responsible for setting policies and monitoring data access and usage. Additionally, we have a Data Protection Officer (DPO) and an independent InfoSec team that work together to enforce these policies. This multi-layered approach ensures that data governance is effectively managed and compliant with all necessary regulations. It is integrated with SQL and Power BI servers for executive management dashboard reporting. This integration supports comprehensive data analysis and reporting needs, which was a key factor in our decision. The value of using vCenter lies in its comprehensive data infrastructure management. It significantly enhances our reporting, day-to-day decision-making, and analytics capabilities. Integrating SaaS with vCenter adds value by streamlining key functions and improving overall organizational efficiency. The solution can be considered expensive, particularly due to infrastructure, maintenance, and ownership costs. The long-term savings and efficiencies gained from using vCenter can justify the investment for large organizations. However, the high costs might not be justifiable for smaller organizations with less data and fewer resources. Conducting a thorough cost-benefit analysis based on the organization's specific needs and scale is recommended. I rate it an eight.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
10%
Healthcare Company
8%
Government
7%
Financial Services Firm
32%
Computer Software Company
12%
Insurance Company
8%
Government
8%
 

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...
What do you like most about SAS Data Management?
I am impressed with the tool's ability to customize.
What is your experience regarding pricing and costs for SAS Data Management?
From my experience, SAS Data Management is an expensive tool.
What needs improvement with SAS Data Management?
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
 

Also Known As

No data available
SAS Data Management Platform, Data Management Platform, DataFlux
 

Overview

 

Sample Customers

Information Not Available
Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
Find out what your peers are saying about Cribl vs. SAS Data Management and other solutions. Updated: January 2025.
856,873 professionals have used our research since 2012.