Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management comparison

Informatica and SAS are both solutions in the Data Integration category. Informatica is ranked #3 with an average rating of 7.8, while SAS is ranked #38 with an average rating of 7.5. Additionally, 93% of Informatica users are willing to recommend the solution, compared to 87% of SAS users who would recommend it.

Informatica Intelligent Dat...

Read 181 Informatica Intelligent Data Management Cloud (IDMC) reviews

13,019 Views
9,444 Comparison Views

93% willing to recommend

SAS Data Management

Read 16 SAS Data Management reviews

1,068 Views
881 Comparison Views

87% willing to recommend

Informatica Intelligent Dat...

SAS Data Management

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Executive SummaryUpdated on Nov 3, 2024

Informatica Intelligent Data Management Cloud (IDMC) and SAS Data Management compete in the data management category. IDMC is noted for its flexible architecture and robust data cleansing, giving it a slight advantage in user feedback.

Features: IDMC offers seamless data integration, flexible architecture for various data management styles, and robust data cleansing capabilities. SAS stands out for strong data quality, data integration options, and comprehensive analytics capabilities.

Room for Improvement: IDMC needs better integration with SAP applications, more preconfigured business rules, and improved user-friendliness and data stewardship. SAS faces challenges with its high cost, complex licensing model, and integration capabilities in cloud migration.

Ease of Deployment and Customer Service: IDMC offers flexibility in deployment across on-premises, hybrid, and cloud environments, but customer service varies with response times often criticized. SAS operates mainly on-premises and generally receives positive feedback on its customer service, although some users report slow response rates.

Pricing and ROI: IDMC is in a higher pricing tier, offering extensive features that provide value. SAS is also expensive but noted for its analytics and management capabilities. Both platforms present substantial ROI potential when effectively used at scale.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. SAS Data Management Report (Updated: December 2024).

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. SAS Data Management

December 2024

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Informatica Intelligent Dat...

Ranking in Data Integration

3rd

Ranking in Data Quality

1st

Ranking in Data Governance

2nd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

181

Ranking in other categories

Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (7th), Cloud Data Integration (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)

SAS Data Management

Ranking in Data Integration

38th

Ranking in Data Quality

11th

Ranking in Data Governance

25th

Average Rating

8.4

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Raj Sethupathi

Data Integration Consultant GCP/AWS at Infogrators Inc

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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Vivek Trivedi

Head finance transformation at Ahli United Bank Ksc

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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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable feature is data discovery. This is the most exciting feature for all of the banks."

"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."

"The features that I have found most valuable are, first of all, that it comes as part of this whole bundle of Informatica tools. So if you've been implementing Informatica MDM across a business, you'd often find it comes with it. It's been thrown in as a sweetener. The adoption of it is often the challenge because as part of your MDM project, governance is seen as something beyond the MDM and is often restrictive. So this tool actually, for the first time, when you talk to data governance teams, gives a holistic view of what a data governance team can do with this tool."

"It is one of the best tools available for data integration."

"It's helpful in integration, and it can be moved around in SharePoint. So, from the SharePoint View, data integration and reporting, it help a lot in that way."

"I know that there are two good features, APN and ServiceNow but we haven't explored all of its features yet."

"The MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data."

"The product improves data quality."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"I am impressed with the tool's ability to customize."

"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."

"This is an established product with powerful data analysis and varied options for user entry points."

"The technical support is excellent."

"The product offers very good flexibility."

"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."

"The tool is reliable, quick, and powerful."

"The platform's robust data governance capabilities ensure strong compliance with regulatory standards."

More SAS Data Management pros

Cons

"We'd like to see the microservices, which don't run yet because the solution is not yet fully cloud-based."

"We haven't had many technical issues. We don't use all of the components of the tool that are more complex and error-prone."

"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."

"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."

"The scalability is tough."

"The price modeling could be more flexible."

"This solution is hard to set up and its interface is not user-friendly. It's also not as stable, and the technical support takes a lot of time to solve simple problems."

"The solution should improve its integration."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"The solution is quite expensive and hard to install/configure."

"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."

"Integration and cloud migration are areas where we see potential for improvement."

"The solution could use better documentation."

"The pricing of the solution needs to be improved. They need to work to make it more affordable."

"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."

"I would like the tool to include the ability to automate the modifications of the integrations."

"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."

More SAS Data Management cons

Pricing and Cost Advice

"Informatica Axon is expensive."

"Informatica MDM's pricetag should come down. They have to cut some costs."

"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."

"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."

"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."

"I have heard from customers that the product comes with a huge license cost."

"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."

"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

"The tool is a bit expensive."

"The licensing model for vCenter is a perpetual license with yearly payments."

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

"The solution is expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

13%

Manufacturing Company

10%

Government

Financial Services Firm

29%

Computer Software Company

13%

Insurance Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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...

See all answers

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...

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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 ...

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What do you like most about SAS Data Management?

I am impressed with the tool's ability to customize.

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What is your experience regarding pricing and costs for SAS Data Management?

The licensing model for vCenter is a perpetual license with yearly payments. This model ensures continuous updates and support while managing initial setup costs.

See all answers

What needs improvement with SAS Data Management?

Integration and cloud migration are areas where we see potential for improvement. A more seamless integration process and transitioning to a cloud-based environment would enhance user-friendliness ...

See all answers

Comparisons

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 8% of the time

Azure Data Factory vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 7% of the time

Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 5% of the time

Microsoft Purview Data Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

AWS Glue vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

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Compared 20% of the time

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Compared 15% of the time

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Compared 10% of the time

IBM InfoSphere DataStage vs SAS Data Management

Compared 10% of the time

SSIS vs SAS Data Management

Compared 9% of the time

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Product Reports

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Informatica Intelligent Data Management Cloud (IDMC)

January 2025

Informatica Intelligent Data Management Cloud (IDMC) report

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SAS Data Management

December 2024

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Also Known As

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

SAS Data Management Platform, Data Management Platform, DataFlux

Learn More

Informatica

SAS

Overview

Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.

IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.

What are the most important features?

Data discovery: Facilitates identifying and understanding data sources.
Data profiling: Analyzes old databases for data quality.
Data and platform masking: Ensures data protection.
Salesforce integration: Seamless connectivity with Salesforce.
Mastering data: Centralizing and standardizing data.
UI intuitiveness: User-friendly interface.
Feature map flexibility: Adapts to user needs.
Business glossary creation: Defines business terms.
Data lineage: Tracks data flow and transformations.
Automation: Streamlines data processes.
Enterprise data cataloging: Organizes extensive data assets.
Scalability: Supports expanding data requirements.
Easy setup: Quick deployment process.
Bulk upload: Efficiently handles large data volumes.
Customizable data management: Tailors data solutions.
Real-time data streaming: Manages live data streams.
Integration with Hadoop and NoSQL: Connects with big data platforms.

What benefits and ROI should be considered?

Regulatory compliance: Ensures adherence to regulations.
Data protection: Safeguards sensitive information.
Enhanced data quality: Improves accuracy and reliability.
Centralized data: Consolidates data for better management.
Process automation: Reduces manual tasks and errors.

Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.

Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

Sample Customers

The Travel Company, Carbonite

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

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. SAS Data Management

December 2024

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