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Cribl vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 3, 2024

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
7.1
Organizations benefit from improved data quality, time savings, and ROI with Informatica Cloud, enhancing processes and security.
 

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
6.9
Informatica's customer service is effective, praised for responsiveness but criticized for occasional delays and inconsistency.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
If they are unsure how to resolve an issue, they keep customers informed, providing updates about progress and ensuring communication with the product team to deliver accurate responses.
The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually.
 

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
Informatica IDMC is highly scalable and adaptable, though optimal design and documentation are crucial for large-scale operations.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
 

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
7.7
Informatica Intelligent Data Management Cloud is generally stable, with newer versions being more reliable and support enhancing consistency.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
 

Room For Improvement

Cribl needs better legacy compatibility, intuitive logging, enhanced documentation, improved onboarding, and desktop server functionality for developers.
IDMC requires UI improvements, better system connectivity, performance enhancements, cost reduction, AI features, and improved support and observability.
Perhaps more flexibility in terms of metrics would be helpful.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
The observability concept in Informatica Intelligent Data Management Cloud (IDMC) needs improvement as the capabilities are not up to the mark compared to the industry.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
 

Setup Cost

Cribl offers a cost-effective, scalable pricing model with up to 30% cost reductions, appealing to mid-level and large enterprises.
Informatica IDMC's pricing is seen as high, with nuanced licensing, leading to user concerns compared to competitors.
It ranges from a quarter million to a couple of million a year.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
 

Valuable Features

Cribl streamlines real-time data transformation, log collection, and routing with user-friendly features, security, and extensive integration support.
Informatica IDMC is a robust cloud platform offering seamless data integration, real-time streaming, and comprehensive data management features.
The community on Slack is excellent for solving questions and getting ideas.
In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
 

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)
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (5th), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

Cribl and Informatica Intelligent Data Management Cloud (IDMC) 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.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 15.5% mindshare, up 13.7% since last year.
Observability Pipeline Software
Data Management Platforms (DMP)
 

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.
Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.
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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
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
 

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...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
 

Also Known As

No data available
ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

Overview

 

Sample Customers

Information Not Available
The Travel Company, Carbonite
Find out what your peers are saying about Cribl vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: January 2025.
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