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 #39 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

15,021 Views
10,884 Comparison Views

93% willing to recommend

SAS Data Management

Read 16 SAS Data Management reviews

1,332 Views
1,106 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: November 2024).

Buyer's Guide

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

November 2024

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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

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) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (4th), Product Information Management (PIM) (1st), Data Observability (2nd)

SAS Data Management

Ranking in Data Integration

39th

Ranking in Data Quality

11th

Ranking in Data Governance

25th

Average Rating

8.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Raj Sethupathi

Data Integration Consultant GCP/AWS at Infogrators Inc

Jun 13, 2024

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

Jun 5, 2024

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 metadata management of Informatica is great."

"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."

"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."

"The product is scalable and excellent for enterprise-level organizations."

"The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."

"The dictionary, the search, and the ratings are without a doubt the most beneficial components of this solution."

"I like that Informatica MDM has robust matching technology. Informatica MDM is also porting the external Java applications for validations. I can consider that a must-have. It is also exposed to Rest API calls, and we can engage in real-time integrations with any third-party systems."

"The advanced features like task flow and conditional integration are particularly useful."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"The technical support is excellent."

"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."

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

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

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

"The product offers very good flexibility."

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

"If you compare it to SQL, the memory and development times are very quick."

More SAS Data Management pros

Cons

"I think everything related to the APIs and the manageability of the APIs in Informatica MDM are areas where improvements are required."

"I would also like to have profiling functionalities and quality transformations in the cloud."

"I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter."

"The user interface of the product needs to be improved"

"Data integration should be improved."

"The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness."

"Their support should be improved. We have had some trouble with their support from time to time. Its scalability should also be improved. I would also like to have a bit more modern and friendly UI for the end-users. There should definitely be a simplified way to configure and set it up."

"It is complicated to establish the lineage in EDC using PowerCenter mappings."

More Informatica Intelligent Data Management Cloud (IDMC) cons

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

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

"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."

"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."

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

"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."

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

"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."

More SAS Data Management cons

Pricing and Cost Advice

"It's an expensive solution."

"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."

"Comparatively, their prices are a little bit too high."

"The price of Informatica Cloud Data Integration could be reduced."

"It is expensive. That's probably the biggest drawback. The business has heartache paying the license, but that's mainly because they don't realize what value it brings. The key thing about the MDM solution is that it is in the backend, and no one sees what it is actually doing. You don't know it is a problem until it is not there."

"The solution's pricing model is easy, but it is very expensive."

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

"It's pretty high for us. It's more on the higher side, like low to middle high."

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

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

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

"The tool is a bit expensive."

"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%

Insurance Company

Financial Services Firm

29%

Computer Software Company

12%

Insurance Company

10%

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...

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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 9% 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

AWS Glue vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

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

Compared 4% of the time

More Informatica Intelligent Data Management Cloud (IDMC) Competitors

Informatica PowerCenter vs SAS Data Management

Compared 17% of the time

Palantir Foundry vs SAS Data Management

Compared 10% of the time

Ab Initio Co>Operating System vs SAS Data Management

Compared 9% of the time

SSIS vs SAS Data Management

Compared 8% of the time

IBM InfoSphere DataStage vs SAS Data Management

Compared 8% of the time

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

November 2024

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Buyer's Guide

SAS Data Management

October 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

November 2024

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