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Control-M vs SnapLogic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 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
7.4
Control-M support is praised for responsiveness and expertise, despite occasional response delays and challenges with ticketing and documentation.
Sentiment score
6.7
SnapLogic's customer service is seen as responsive by some, but others report delays and insufficient support knowledge.
They do not always provide timely support.
Solutions are available on the web.
 

Room For Improvement

Sentiment score
4.5
Control-M needs enhanced reporting, flexibility, automation, integration, reduced costs, and a user-friendly web-based interface for improved usability.
Sentiment score
4.6
SnapLogic needs improvements in complex processing, data flow transparency, API monitoring, user dashboards, support, debugging, and high-volume data handling.
There should be an automation system for developers to set it up more easily and quickly.
The UI can be challenging for new users due to its learning curve.
 

Scalability Issues

Sentiment score
7.7
Control-M offers excellent scalability and adaptability, efficiently handling significant workloads across diverse IT environments for enterprise growth.
Sentiment score
7.3
SnapLogic is praised for cloud scalability, user-friendly setup, and flexible resource allocation, though some face initial setup challenges.
As the workload on Control-M increases, its scalability is much higher.
It can absorb more workload wherever needed.
 

Setup Cost

Sentiment score
5.3
Control-M pricing is costly for small enterprises but seen as valuable by larger ones due to its features.
Sentiment score
5.5
SnapLogic offers reasonable, consumption-based pricing that remains affordable despite recent increases, especially compared to competitors.
Pricing is generally affordable, though some features cost a bit more.
 

Stability Issues

Sentiment score
7.7
Control-M is praised for its stability, reliability, and improved performance, crucial for handling complex, high-volume operations efficiently.
Sentiment score
7.4
SnapLogic is generally stable with minimal bugs and downtime, though some users experience availability issues and job failures with large data.
 

Valuable Features

Sentiment score
8.3
Control-M excels in user-friendly automation, integration, and scheduling, enhancing workflow efficiency and reliability across diverse applications.
Sentiment score
8.3
SnapLogic provides an intuitive, hybrid deployment platform with low-code development, seamless app integration, high data transfer, and extensive API management.
Automation is more advanced, deployment is fast, and version control has been simplified.
It is integrated into our CI/CD pipeline.
 

Categories and Ranking

Control-M
Ranking in Process Automation
3rd
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
119
Ranking in other categories
Managed File Transfer (MFT) (4th), Workload Automation (1st)
SnapLogic
Ranking in Process Automation
16th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
22
Ranking in other categories
Data Integration (25th), Cloud Data Integration (14th), Integration Platform as a Service (iPaaS) (10th)
 

Mindshare comparison

As of December 2024, in the Process Automation category, the mindshare of Control-M is 4.2%, up from 3.8% compared to the previous year. The mindshare of SnapLogic is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Process Automation
 

Featured Reviews

Pedro Fuentes - PeerSpot reviewer
Cost-effective, excellent support, and centralized access and control
They have a department that handles requests for enhancements. I talked to Control-M guys back in October or November when they had a gathering here in Atlanta. We talked about not being able to go back in history in Helix Control-M for more than two weeks. We submitted a request for enhancement. They told us that they are working on it, and they are thinking of expanding that to 30 days. We would like to see it expand to 90 days, but they are working on it. In Control-M, we were able to go back 180 days, but that was on-prem. The storage of that data was on our own servers. We know that storage is money, and we do not expect them to store that much of the data, but at least 30 to 60 days seem proper.
Selva Dhoom - PeerSpot reviewer
Automates manual activities and has helpful documentation that allows users to self-study
What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools.
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Top Industries

By visitors reading reviews
Financial Services Firm
28%
Computer Software Company
13%
Manufacturing Company
8%
Insurance Company
6%
Financial Services Firm
25%
Manufacturing Company
11%
Computer Software Company
9%
Real Estate/Law Firm
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How does Control-M compare with AutoSys Workload Automation?
Control-M acts as a single, centralized interface for monitoring and managing all batch processes, which is helpful because nothing gets left unattended since it is all visible in one place, and th...
What do you like most about Control-M?
First of all, the shift from manual to automation has been valuable. We have a tool that can automate.
What is your experience regarding pricing and costs for Control-M?
Pricing is generally affordable, though some features cost a bit more.
What do you like most about SnapLogic?
Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.
What needs improvement with SnapLogic?
The biggest issue we have faced in our company with SnapLogic is regarding the EDI format. For instance, suppose if 20 EDIs are shortlisted then SnapLogic will convert and provide only those specif...
What is your primary use case for SnapLogic?
In our company, we used the solution to build a SnapLogic pipeline in a non-production environment. Presently, our company is releasing it to the production environment. We have used SnapLogic in o...
 

Also Known As

Control M
DataFlow
 

Learn More

 

Overview

 

Sample Customers

CARFAX, Tampa General Hospital, Navistar, Amadeus, Raymond James, Railinc
Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!
Find out what your peers are saying about Control-M vs. SnapLogic and other solutions. Updated: December 2024.
823,795 professionals have used our research since 2012.