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

Informatica and SAS are both solutions in the Data Integration category. Informatica is ranked #3 with an average rating of 7.7, while SAS is ranked #35 with an average rating of 7.5. Informatica holds a 4.8% mindshare in DI, compared to SAS’s 0.5% mindshare. Additionally, 93% of Informatica users are willing to recommend the solution, compared to 83% of SAS users who would recommend it.

Informatica Intelligent Dat...

Read 182 Informatica Intelligent Data Management Cloud (IDMC) reviews

11,209 Views
8,005 Comparison Views

93% willing to recommend

SAS Data Integration Server

Read 4 SAS Data Integration Server reviews

656 Views
575 Comparison Views

83% willing to recommend

Informatica Intelligent Dat...

SAS Data Integration Server

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Informatica Intelligent Data Management Cloud (IDMC) and SAS Data Integration Server both compete in the data management category. IDMC seems to have the upper hand with its modern cloud-based approach.

Features: IDMC offers advanced AI-driven data integration, seamless data management, and a wide array of supported data sources. SAS Data Integration Server provides comprehensive data handling, complex data processing, and integration with existing SAS tools.

Ease of Deployment and Customer Service: IDMC features a streamlined cloud-native deployment model with quick setup and strong customer support. SAS Data Integration Server has a more complex on-premise deployment with structured support channels.

Pricing and ROI: IDMC offers competitive subscription-based pricing with lower upfront costs and scalable investment for quick ROI. SAS Data Integration Server entails higher initial costs but offers significant long-term value for organizations with complex data needs.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. SAS Data Integration Server Report (Updated: February 2025).

Buyer's Guide

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

February 2025

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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

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

182

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (4th), 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) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)

SAS Data Integration Server

Ranking in Data Integration

35th

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.8%, down from 7.7% compared to the previous year. The mindshare of SAS Data Integration Server is 0.5%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

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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reviewer2937544

Works at a financial services firm with 5,001-10,000 employees

Offloads processes on the server side but needs better installation syntax

One area for improvement is the installation process. Another point could be the syntax, as it sometimes involves using syntax names that are not intuitive. For example, to calculate the difference between two dates, the general syntax in SAS is called the data difference or data net function. However, another name is used, such as NF and INK. Without knowledge of SAS programming, it becomes unclear what these functions mean. It is not good to define function names this way.

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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

"Informatica MDM's most valuable feature is the interconnection between multiple Master Data domains."

"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."

"The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC."

"The metadata management of Informatica is great."

"The mass ingestion functionality and the elasticity of the solution are great."

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

"Performance and flexibility-wise, they're very user-friendly."

"The feature of auto-onboarding of the assets, enterprise assets via EDC is good."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"The solution offers very good data manipulation and loading."

"The most valuable feature of the solution is its amazing capabilities in regard to data handling."

"The solution is very stable."

"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."

Cons

"In terms of what could be improved, they need to create a rules repository. Business rules for the attributes that you have, keeping them in that central repository, and governance of them is something which Axon is lacking a bit. The Informatica Data Quality tool actually caters to that, so that's probably why they have not built that up in the Axon, but it is definitely something that can be built in to this product, as well."

"Informatica MDM could improve the interdependency with integration. The solution sometimes becomes a bit difficult to change considering a lot of interdependency with the integration. There can be some improvement in the workflows and they can introduce more artificial intelligence."

"The UI is extremely complex"

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

"I would like to see more API integration to have the capability to build a report using other third party reporting tools to streamline the operation."

"The biggest pain point for us is the documentation. Typically, you have to go through knowledge forums and knowledge groups to find out about the syntax issues for interfacing with new products. Typically, you've got to deal with someone who has been through the pain before. Their documents are not really up to date with current innovations happening in the industry. As big as they are, you can't really expect it, but that's our pain point."

"From multiple masters that are there in Informatica MDM, we can improve the financials."

"The error information provided is not informative, as compared to Power Center."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"The initial setup of SAS Data Integration Server was complex."

"The transform tool has limited access. They should make it more flexible."

"The initial setup had issues, and even after using it for about one year, it was still not fixed."

"One area for improvement is the installation process."

"So I would like to see improved integration with other software."

Pricing and Cost Advice

"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."

"The price is high, but the competitors are even higher, like Collibra."

"The product has a high price point."

"I rate the licensing cost of Informatica MDM a five out of ten."

"The product is highly-priced."

"The price is comparable."

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

"Pricing is determined by the number of licensed users as well as the number of Core CPUs."

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

"It is an expensive program."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

10%

Insurance Company

Financial Services Firm

25%

Computer Software Company

13%

Government

12%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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 Integration Server?

The most valuable feature of the solution is its amazing capabilities in regard to data handling.

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

I don't handle the cost and budget part. From the tool's perspective, I can say that it is an amazing product.

See all answers

What needs improvement with SAS Data Integration Server?

See all answers

Comparisons

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 6% of the time

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

Compared 6% 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

TIBCO EBX vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

More Informatica Intelligent Data Management Cloud (IDMC) Competitors

SSIS vs SAS Data Integration Server

Compared 27% of the time

Oracle Data Integrator (ODI) vs SAS Data Integration Server

Compared 25% of the time

Azure Data Factory vs SAS Data Integration Server

Compared 24% of the time

Palantir Foundry vs SAS Data Integration Server

Compared 14% of the time

AWS Glue vs SAS Data Integration Server

Compared 10% of the time

More SAS Data Integration Server Competitors

Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

March 2025

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Buyer's Guide

Data Integration

February 2025

Download SAS Data Integration Server product report

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 Enterprise Data Integration Server, Enterprise Data Integration Server

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.

Informatica

SAS Data Integration Server is a powerful, configurable and comprehensive solution that can meet a wide variety of data integration requirements, from small tactical projects to strategic business initiatives. It can access virtually all data sources, support data warehousing, migration, synchronization, federation and provisioning initiatives. It can support both batch-oriented and real-time master data management solutions. It can create reusable data integration services in support of service-oriented architectures and data governance and extract, cleanse, transform, conform, aggregate, load and manage data.

SAS

Sample Customers

The Travel Company, Carbonite

Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, West Midlands Police, XS Inc., Zenith Insurance

Buyer's Guide

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

February 2025

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