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IBM Cloud Pak for Data vs SnapLogic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 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
6.9
IBM Cloud Pak for Data helps large enterprises improve data quality, boosting AI processes and enhancing decision-making productivity.
Sentiment score
8.5
Clients praise SnapLogic for improving efficiency and ROI, simplifying cloud integration, and automating data transfer without coding skills.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Senior Data Analyst at Wipro
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
Technical Specialist App Development at Birlasoft IndiaLtd.
SnapLogic has helped automate manual data transfers significantly and improved our workflow efficiency, reducing integration development timelines considerably, which reflects a good ROI.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
 

Customer Service

Sentiment score
7.4
IBM Cloud Pak for Data's support is responsive and available 24/7, despite some delays due to system complexity.
Sentiment score
7.0
SnapLogic's customer service receives mixed reviews, with commendations for quick responses and critiques for delays and knowledge gaps.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Data asset management engineer at a tech services company with 1-10 employees
Customer support should be more responsive and reach and respond on time.
Senior Data Analyst at Wipro
IBM support is very supportive, and I would rate them an eight out of ten based on our long relationship with them.
EDW Manager at a university with 1,001-5,000 employees
Some SMEs are allotted for the organization, so in case of any issue, we have their email IDs to contact them for support, including SMEs and community.
Technical Specialist App Development at Birlasoft IndiaLtd.
The technical support from SnapLogic is excellent, and I would give it a complete ten.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
Customer support scales well; as pipeline volume grows, we have been able to add more integrations and users without performance degradation.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
 

Scalability Issues

Sentiment score
7.5
IBM Cloud Pak for Data is praised for impressive scalability and compatibility, despite being resource-intensive, with ratings mostly 8-10.
Sentiment score
7.4
SnapLogic offers easy scalability and elasticity in cloud and on-prem environments, supporting diverse business sizes and user needs.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Senior Data Analyst at Wipro
I rate the scalability of SnapLogic as eight out of ten.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
 

Stability Issues

Sentiment score
7.7
IBM Cloud Pak for Data is generally stable and well-rated, with users emphasizing scalability despite minor tool integration concerns.
Sentiment score
7.4
SnapLogic is stable with high uptime, but faces challenges with large datasets and some prefer competitor support.
But recently, in a year, I haven't found many performance issues in SnapLogic.
Technical Specialist App Development at Birlasoft IndiaLtd.
I would rate the stability of SnapLogic as nearly ten out of ten.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
 

Room For Improvement

IBM Cloud Pak for Data needs better integration, support, features, and pricing to attract small businesses and simplify adoption.
SnapLogic needs improved integrations, processing, transparency, support, AI, and performance for better user experience and large data handling.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
Senior Data Analyst at Wipro
I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in.
Data asset management engineer at a tech services company with 1-10 employees
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
EDW Manager at a university with 1,001-5,000 employees
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
They can improve more visuals, with graphical representations, such as how many things can be added, how many users can be added or dropped, and how the back-end nodes can be graphically shown in a better way.
Technical Specialist App Development at Birlasoft IndiaLtd.
Some advanced features lack detailed documentation, and debugging complex pipelines could be more intuitive.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
 

Setup Cost

IBM Cloud Pak for Data's high pricing and complexity make it more suitable for large enterprises than smaller companies.
SnapLogic's pricing, though moderate to high, offers scalability and value for complex integrations with its flexible, usage-based licensing.
The setup cost is very expensive.
Data asset management engineer at a tech services company with 1-10 employees
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
Senior Data Analyst at Wipro
I would say the pricing is on the higher side, but it aligns with the capabilities offered for mid- to large integrations.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
There would be only one point of improvement if the price could be lower.
Head of Data Practice at a tech consulting company with 201-500 employees
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
 

Valuable Features

IBM Cloud Pak for Data excels with data virtualization, low-code navigation, robust security, and efficient data integration and collaboration.
SnapLogic simplifies low-code development with drag-and-drop tools, pre-built snaps, and seamless integration, enhancing efficiency and user experience.
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
Senior Data Analyst at Wipro
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
EDW Manager at a university with 1,001-5,000 employees
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
Data asset management engineer at a tech services company with 1-10 employees
The drag-and-drop builder and pre-built snaps have helped our team through a very low-code approach, making it easier for us to develop fast pipelines and be more agile compared to the heavier integration platforms we used before.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
Head of Data Practice at a tech consulting company with 201-500 employees
It's moving into AI, so we can create AI agents with LLM models. We can use most of the LLM such as Amazon Bedrock, OpenAI, Azure AI.
Technical Specialist App Development at Birlasoft IndiaLtd.
 

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
23rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
15
Ranking in other categories
Data Virtualization (3rd)
SnapLogic
Ranking in Data Integration
21st
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
26
Ranking in other categories
Process Automation (16th), API Management (20th), Cloud Data Integration (14th), Integration Platform as a Service (iPaaS) (11th)
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.3%, down from 1.6% compared to the previous year. The mindshare of SnapLogic is 1.1%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
SnapLogic1.1%
IBM Cloud Pak for Data1.3%
Other97.6%
Data Integration
 

Featured Reviews

ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro
Collaborative data platform has transformed analytics and now drives faster decisions
The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and data management from other sources are performed without problems of requirements. We have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.
SameerShaikh - PeerSpot reviewer
Technical Specialist App Development at Birlasoft IndiaLtd.
Has automated manual tasks and simplified integration with pre-built connectors while supporting AI use cases
The tool is very user-friendly and not complex to understand. The structure of the platform is easy to understand, and we can build multiple systems with low-code, no-code, so it doesn't require much coding language. Now it is moving more into APIs, so we can create APIs to transfer data, which we can manage. It's moving into AI, so we can create AI agents with LLM models. We can use most of the LLM such as Amazon Bedrock, OpenAI, Azure AI. With those Snaps, we can integrate and move more into the AI world. SnapLogic is hosted on Groundplex and AWS cloud. It has pre-built connectors, which we call Snaps. That is very helpful to connect with multiple systems. We have a dashboard monitor that is very graphical. We can measure exact times in seconds and how much time it took to complete the process. With that help, it's really helpful to see how much memory consumption is utilized. The monitor structure has very good features for SnapLogic. SnapLogic is an integration tool which we use to integrate multiple systems such as source system, target system, cloud systems, and Groundplex systems. It is an iPaaS tool and a very strong tool. Now it is moving more into APIs and AI/ML tools; it is improving their knowledge. It is helpful for creating SnapLogic agents. In this way, SnapLogic is expanding their work.
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Manufacturing Company
10%
Computer Software Company
8%
Government
4%
Financial Services Firm
18%
Manufacturing Company
12%
Comms Service Provider
7%
Real Estate/Law Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Large Enterprise12
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise5
Large Enterprise11
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
The pricing and setup cost are handled by a different procurement team. Our IT procurement team is centralized, so licensing and the actual cost of the software are taken care of by a different tea...
What needs improvement with IBM Cloud Pak for Data?
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
What is your primary use case for IBM Cloud Pak for Data?
The main use case for IBM Cognos is for business intelligence and reporting.
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?
Some advanced features lack detailed documentation, and debugging complex pipelines could be more intuitive. We have faced a few issues with pipeline throttling, but SnapLogic support was responsiv...
What is your primary use case for SnapLogic?
Our main use case for SnapLogic is building integration pipelines across SaaS applications, databases, and internal systems to automate the data flows. A specific example of how we have used SnapLo...
 

Also Known As

Cloud Pak for Data
DataFlow
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
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 IBM Cloud Pak for Data vs. SnapLogic and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.