Informatica Data Engineering Streaming vs SAS Data Integration Server comparison

The compared Informatica and SAS solutions aren't in the same category. Informatica is ranked #17 in SA , with an average rating of 8.0, and holds a 1.5% mindshare in the category. SAS is ranked #37 in DI , with an average rating of 7.5, and holds a 0.6% mindshare. Additionally, 100% of Informatica users are willing to recommend the solution, compared to 83% of SAS users who would recommend it.

Informatica Data Engineerin...

Read 1 Informatica Data Engineering Streaming review

403 Views
230 Comparison Views

100% willing to recommend

SAS Data Integration Server

Read 4 SAS Data Integration Server reviews

584 Views
442 Comparison Views

83% willing to recommend

Informatica Data Engineerin...

SAS Data Integration Server

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Informatica Data Engineering Streaming and SAS Data Integration Server based on real PeerSpot user reviews.

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Buyer's Guide

Streaming Analytics

June 2025

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Helped 860,632 peers since 2012

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 Data Engineerin...

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Streaming Analytics (17th)

SAS Data Integration Server

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (37th)

Mindshare comparison

Informatica Data Engineering Streaming and SAS Data Integration Server aren’t in the same category and serve different purposes. Informatica Data Engineering Streaming is designed for Streaming Analytics and holds a mindshare of 1.5%, up 1.1% compared to last year.
SAS Data Integration Server, on the other hand, focuses on Data Integration, holds 0.6% mindshare, up 0.4% since last year.

Streaming Analytics

Data Integration

Featured Reviews

Reviewer43443

BI Practice Lead at a tech services company with 51-200 employees

Helps with real-time data processing and improves decision-making overall

It improves decision-making overall for the company. Informatica is usually the tool for setting up the data, streaming the data into your data warehouse from your source, transforming the data, and preparing and modeling it into some desired format. It improves the performance. You need to know how to use it and how to implement it, but it improves performance.

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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

"It improves the performance."

"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."

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

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

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

Cons

"Skill requirement is required. There is a learning curve."

"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."

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

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

"One area for improvement is the installation process."

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

Pricing and Cost Advice

Information not available

"It is an expensive program."

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Computer Software Company

15%

Manufacturing Company

Educational Organization

Financial Services Firm

28%

Computer Software Company

11%

Insurance Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What needs improvement with Informatica Data Engineering Streaming?

Skill requirement is required. There is a learning curve.

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What is your primary use case for Informatica Data Engineering Streaming?

We implement business intelligence solutions, including data warehousing tools, data integration to load data into warehouses, and then creating reports.

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What advice do you have for others considering Informatica Data Engineering Streaming?

Overall, I would rate the solution an eight out of ten. Usually, Informatica is for big clients because of its pricing, and it also requires some skill sets. It requires investment into a proper da...

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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.

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What needs improvement with SAS Data Integration Server?

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Comparisons

Databricks vs Informatica Data Engineering Streaming

Compared 36% of the time

Apache Flink vs Informatica Data Engineering Streaming

Compared 16% of the time

Google Cloud Dataflow vs Informatica Data Engineering Streaming

Compared 14% of the time

Apache Kafka vs Informatica Data Engineering Streaming

Compared 14% of the time

Workato vs Informatica Data Engineering Streaming

Compared 10% of the time

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SSIS vs SAS Data Integration Server

Compared 31% of the time

Azure Data Factory vs SAS Data Integration Server

Compared 24% of the time

Palantir Foundry vs SAS Data Integration Server

Compared 17% of the time

Oracle Data Integrator (ODI) vs SAS Data Integration Server

Compared 14% of the time

AWS Glue vs SAS Data Integration Server

Compared 13% of the time

More SAS Data Integration Server Competitors

Product Reports

Buyer's Guide

Streaming Analytics

June 2025

Informatica Data Engineering Streaming report

Download Informatica Data Engineering Streaming product report

Buyer's Guide

Data Integration

June 2025

Download SAS Data Integration Server product report

Also Known As

Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming

SAS Enterprise Data Integration Server, Enterprise Data Integration Server

Overview

Informatica Intelligent Streaming allows organizations to prepare and process streams of data and uncover insights while acting in time to suit business needs. It can scale out horizontally and vertically to handle petabytes of data while honoring business service level agreements (SLAs). Intelligent Streaming provides pre-built high-performance connectors such as Kafka, HDFS, NoSQL databases, and enterprise messaging systems and data transformations to enable a code-free method of defining your data integration logic.

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

Jewelry TV

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

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Microsoft and others in Streaming Analytics. Updated: June 2025.

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We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.