Informatica Cloud Data Integration vs SAS Data Management comparison

Cancel
You must select at least 2 products to compare!
Informatica Logo
3,563 views|2,909 comparisons
88% willing to recommend
SAS Logo
1,563 views|1,254 comparisons
86% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Cloud Data Integration and SAS Data Management based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Informatica Cloud Data Integration vs. SAS Data Management Report (Updated: January 2024).
768,415 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It is quite easy to use and flexible.""The data mapping capability is a valuable feature.""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.""Data synchronization tasks.""It has a more UI-based tool, and the scripting is good.""The mass ingestion functionality and the elasticity of the solution are great.""The solution has the best feature for parameterization.""The solution provides increased efficiency while still being user-friendly and easy to operate."

More Informatica Cloud Data Integration Pros →

"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.""This is an established product with powerful data analysis and varied options for user entry points.""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.""The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes.""The tool is reliable, quick, and powerful.""If you compare it to SQL, the memory and development times are very quick.""The product offers very good flexibility.""I am impressed with the tool's ability to customize."

More SAS Data Management Pros →

Cons
"The integration process is not easy.""The vendor should have more training resources: online classes, free tutorial videos, etc.""Error reporting and debugging need improvement.""There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another.""Its pricing model can be improved. The response time from technical support can also be improved.""Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them.""Certain applications are not being synced with the ION.""A general improvement in icons and the virtual interface would be good."

More Informatica Cloud Data Integration Cons →

"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 pricing of the solution needs to be improved. They need to work to make it more affordable.""Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics.""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 solution could use better documentation.""I would like the tool to include the ability to automate the modifications of the integrations.""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."

More SAS Data Management Cons →

Pricing and Cost Advice
  • "It is cost effective and an easily accessible tool."
  • "The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
  • "Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
  • "My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
  • "Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
  • "Its pricing model can be improved."
  • "I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
  • "The price of Informatica Cloud Data Integration could be reduced."
  • More Informatica Cloud Data Integration 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 tool is a bit expensive."
  • "The solution is expensive."
  • More SAS Data Management Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
    768,415 professionals have used our research since 2012.
    Questions from the Community
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer: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 of… more »
    Top Answer:I am impressed with the tool's ability to customize.
    Top Answer:I would like the tool to include the ability to automate the modifications of the integrations.
    Ranking
    5th
    Views
    3,563
    Comparisons
    2,909
    Reviews
    17
    Average Words per Review
    467
    Rating
    7.8
    43rd
    out of 100 in Data Integration
    Views
    1,563
    Comparisons
    1,254
    Reviews
    1
    Average Words per Review
    180
    Rating
    7.0
    Comparisons
    Also Known As
    SAS Data Management Platform, Data Management Platform, DataFlux
    Learn More
    Overview

    Informatica Cloud Data Integration is a cloud-native cloud data integration solution that enables users to connect a large number of applications and data sources across on-premises and integrate the data sources at scale on the cloud. The product is built on microservices-driven management and integration platform as a service (iPaaS) and assists organizations to govern costs, increase productivity and collaboration, and simplify their experience. Informatica Cloud Data Integration allows companies to deliver data and analytics to lines of business in a timely manner, build data warehouses on Amazon Redshift, Google Cloud BigQuery, Snowflake, and Microsoft Azure Synapse Analytics, and utilize the required data integration patterns, including elastic processing, extract, load, and transform (ELT), and extract, transform, and load (ETL).

    The solution allows users to to build enterprise-scale integration workloads within hours while it improves the productivity of development teams by providing them a codeless, drag-and-drop user interface. Companies can benefit from integration features built for data warehousing and optimized connectors for bulk loads of billions of records. Informatica Cloud Data Integration offers organizations the option of going serverless at scale by allowing them to process data integration jobs from cloud-hosted as well as managed environments. The Spark-based engine allows the solution to handle high-volume data demands and complex data integration tasks.

    Informatica Cloud Data Integration Features

    Informatica Cloud Data Integration provides its users with various features and tools. Among the key capacities of the product are:

    • Advanced Pushdown Optimization: Informatica Cloud Data Integration offers a feature that provides users with the benefits of ELT while maintaining their data flow definitions at a logical or abstract level. This feature allows users to choose a runtime option that complies with the workload as well as send their data processing work to cloud ecosystem pushdown, cloud data warehouse pushdown, Spark serverless processing, or traditional ETL.

    • Connectors for all major data sources: This feature provides out-of-the-box connectivity to a large number of cloud and on-premise systems, data stores, analytics and BI tools, and enterprise and middleware applications.

    • Data transformation capabilities: This feature allows users to process data transformation in real time or batch by using a variety of transformation types, such as cleansing, masking, aggregation, fileting, parsing, and ranking.

    • Spark-based complex data integration: Informatica Cloud Data Integration Elastic allows specialists to use elastic clusters to process their data transformation.

    • Codeless integration: This feature facilitates the creation of simple-to-sophisticated data integration projects with a visual mapping designer that speeds up pre-build transformations for development through a variety of endpoints across cloud and on-premises.

    • Serverless data integration: Users can achieve cloud data integration in a mode called Advanced Serverless, where they can benefit from a fully managed environment with no software, no cloud administration, and no servers or clusters to manage.

    • Taskflow orchestration: This feature allows users to combine batch and real-time integration through a taskflow designer in order to create simple-to-sophisticated orchestrations.

    • Intelligent structure discovery: This feature uses the CLAIRE engine to automatically understand the parsing model for complicated files based on their structure.

    • Change data capture: Utilizing the prebuilt task wizards and Change Data Capture tool, users can automatically pull only the updated or incremental data from source systems to the targets on a frequent basis.

    • Security: The product offers various features which ensure the highest level of data and workload security and comply with various policies.

    Informatica Cloud Data Integration Benefits

    Informatica Cloud Data Integration brings multiple benefits to its users. These include:

    • The product offers optimized connectivity to various systems through custom build-connectors.

    • Users can benefit from improved elasticity and performance by utilizing Spark clusters and auto-tuning.

    • The tool allows developers to focus on business logic by facilitating infrastructure management through serverless deployment features.

    • Informatica Data Cloud Integration provides user flexibility by connecting to any database, cloud data lake, on-premise apps, and data warehouses.

    • Through a zero-coding environment and role-appropriate user experience, the solution is suitable for all types of users.

    • The solution offers consistent experience and unified metadata across all cloud services.

    • Users can leverage enterprise-level performance for integration design with no coding required.

    • Informatica Data Cloud Integration scales as a business grows, providing a high level of adaptability.

    Reviews from Real Users

    Divya R., a senior consultant at Deloitte, rates Informatica Cloud Data Integration highly because it is a UI-based tool with great scripting.

    A data architect at a retailer likes Informatica Cloud Data Integration because of its flexible licensing, good connectors, and timely upgrades and patches.

    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
    Chicago Cubs, Telegraph Media Group
    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
    Top Industries
    REVIEWERS
    Computer Software Company37%
    Pharma/Biotech Company21%
    Manufacturing Company11%
    Individual & Family Service5%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Manufacturing Company9%
    Insurance Company8%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company11%
    Insurance Company10%
    Government8%
    Company Size
    REVIEWERS
    Small Business21%
    Midsize Enterprise21%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business50%
    Midsize Enterprise7%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise10%
    Large Enterprise73%
    Buyer's Guide
    Informatica Cloud Data Integration vs. SAS Data Management
    January 2024
    Find out what your peers are saying about Informatica Cloud Data Integration vs. SAS Data Management and other solutions. Updated: January 2024.
    768,415 professionals have used our research since 2012.

    Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. Informatica Cloud Data Integration is rated 7.8, while SAS Data Management is rated 8.4. The top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". On the other hand, the top reviewer of SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Mule Anypoint Platform, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, IBM InfoSphere DataStage and Palantir Foundry. See our Informatica Cloud Data Integration vs. SAS Data Management report.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud Data Integration 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.