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    Informatica Intelligent Cloud Services (ETL/ELT)-GovCloud

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    Deployed on AWS
    Informatica Intelligent Cloud Services Data Integration offers native, high volume, high performance ETL or ELT for Amazon Redshift, S3 and RDS from cloud or on-premises sources. Use codeless visual development to easily develop, run and schedule data integration, synchronization and task flows.

    Overview

    Informatica Cloud Data Integration service (ETL/ELT) enables you to connect hundreds of applications and data sources across on-premises and cloud. Easy to use drag and drop interfaces enable users to build integrations quickly with no coding required. It also offers pre-built templates and integration wizards to accelerate your data warehousing and data lake initiatives.

    Informatica Cloud for FedRAMP includes: -Integration Base for FedRAMP -Data Integration for FedRAMP -One Tier B connector* -One Tier C connector* One Tier D Connector* -Premium Success

    *Only the following connectors are supported: Tier B: File Processor, PostgresSQL, Amazon RDS MySQL, Microsoft Excel, File I/O, FTP, Microsoft Access Tier C: Microsoft Azure SQL Database, Oracle Database, Microsoft SQL Server, Amazon RDS Oracle, MySQL Enterprise, Amazon S3, Webservices REST, Azure Data Lake Storage Gen1, Azure BLOB, Google Cloud Storage, Azure Data Lake Storage Gen2 Tier D: SFTP, Salesforce Sales Cloud, Microsoft Azure Synapse SQL, Amazon Redshift, Snowflake, Google BigQuery, Teradata, IBM Netezza

    For private offer pricing, please contact InfaForAWS@informatica.com .

    For more information, see www.informatica.com/content/dam/informatica-com/global/amer/us/docs/informatica-cloud-description-schedule.pdf 

    Highlights

    • Move data into AWS with an easy-to-use, codeless visual UI for speed, agility and high productivity to enable any user. Includes out-of-the-box templates and guided development wizards to automate time-consuming manual tasks
    • Proven, highly scalable parallel data integration architecture, that streamlines and automates parallel loading into Amazon Redshift cluster optimizing with both ETL and ELT (pushdown optimization) patterns for maximum throughput and performance
    • Seamlessly, connect to AWS with high-performance, cloud-native connectors for Amazon Redshift, S3, RDS and Aurora as well as virtually any cloud or on-premises source, e.g. Salesforce, Workday, Marketo, NetSuite, ServiceNow, SAP, Oracle, IBM, etc.

    Details

    Delivery method

    Deployed on AWS

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    1. Search our KB, previous discussions, videos, and how to articles at http://infa.media/2pfwNCC  2. Please go to Informatica moderated community forum http://infa.media/2pR6N0h  and Login to start a discussion 3. Apart from forum based support, there is also the 24x7 Live Chat option available at bottom of those pages 4. An email with the issue can also be sent to the following group alias to INFAAWSSupport@informatica.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    50
    In Data Warehouses, ELT/ETL
    Top
    25
    In Data Warehouses, ELT/ETL
    Top
    50
    In Data Warehouses, ELT/ETL

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    2 reviews
    Insufficient data
    Insufficient data
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    Positive reviews
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    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Data Integration Methodology
    Supports both ETL and ELT data integration patterns with codeless visual development interface
    Cloud and On-Premises Connectivity
    Enables connection to hundreds of cloud and on-premises data sources including AWS services, enterprise applications, and databases
    Parallel Data Processing
    Utilizes highly scalable parallel data integration architecture for optimized data loading and processing
    Connector Ecosystem
    Provides multi-tier connectors supporting file systems, databases, cloud storage, and enterprise applications across Tier B, C, and D categories
    FedRAMP Compliance
    Offers FedRAMP-compliant integration services with specific security and regulatory requirements for government cloud environments
    Data Integration Capabilities
    Supports efficient ELT processes with SQL pushdown, Python scripting, and custom functions for building scalable data pipelines
    Cloud Platform Compatibility
    Native integration with cloud data platforms including AWS Redshift, Snowflake, and Databricks with seamless data movement capabilities
    AI-Powered Transformation
    Incorporates AI functionality through AWS Bedrock integration, enabling data enrichment, classification, and quality checks using Large Language Model components
    Security and Access Management
    Implements enterprise-grade security with encryption, integration with AWS IAM, role-based access controls, and compliance with standards like SOC 2, GDPR, and HIPAA
    Workflow Automation
    Provides no-code interface with real-time alerts, monitoring, and orchestration features for streamlined data pipeline management
    Data Source Connectivity
    Supports over 70 connectors and integration components for AWS services including Amazon S3, Redshift, RDS, Aurora, Kinesis, EMR, and SageMaker
    Data Transformation Engine
    Provides robust ETL and ELT capabilities with 1000+ data source connectors and components
    Code Generation Capability
    Enables output of data integration jobs to native Spark or Java code
    Cloud Integration Architecture
    Supports cloud-to-cloud and hybrid integration workflows with a fully managed cloud platform
    Development Interface
    Offers drag-and-drop user interface for data engineers and data analysts with software development lifecycle (SDLC) capabilities

    Security credentials

     Info
    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    No security profile
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    -
    -
    No security profile

    Contract

     Info
    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    4.3
    2 ratings
    5 star
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    2 AWS reviews
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    5 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    reviewer2709987

    Cloud integration supports dynamic project developments

    Reviewed on May 22, 2025
    Review from a verified AWS customer

    What is our primary use case?

    I work in the insurance industry.

    For this build, the cloud offering provides scalability and agility for my current project, which is in the insurance domain for CNA insurance. We do end-to-end data management as well as follow a microservices architecture. Additionally, we are using AI and machine learning for tasks such as data discovery, data quality, and generative AI applications for development purposes.

    What is most valuable?

    Some of the most valuable features with Informatica Intelligent Cloud Services  include master data management, API management, data governance, data quality, and cloud application integration. We can utilize both ETL and ELT capabilities and have the ability to integrate data with different data lakes, even integrating with Snowflake .

    The cloud-native platform provides scalability and agility for my current project. Informatica Intelligent Cloud Services  allows us to manage the entire data lifecycle in the insurance domain, supporting microservices architecture and leveraging AI and machine learning for data discovery, quality, and integration.

    What needs improvement?

    I still have to look into potential improvements, but what I have currently provided input on is what I'm using. I still need to work on it and check for any potential improvements.

    One thing to consider is that while Informatica Intelligent Cloud Services already integrates with AI platforms, we need to use these tools rigorously and check all these aspects, including machine learning and analytics. I feel that more work needs to be done on this aspect.

    For how long have I used the solution?

    I have almost three years of experience.

    What was my experience with deployment of the solution?

    Product deployment generally takes place as we have an integrated version with various applications, and while we don't deploy daily, we follow a CI/CD pipeline closely for performance.

    Different organizations may have different practices; some might have a release plan, but for my project, we manage deployments every one to two days without experiencing significant delays or issues, so I consider it user-friendly.

    What do I think about the stability of the solution?

    The solution is stable as of now.

    What do I think about the scalability of the solution?

    It is scalable. The solution has good scalability and powerful capabilities.

    How was the initial setup?

    The initial setup for Informatica Intelligent Cloud Services is straightforward for me because I'm not facing any issues with this.

    I am part of the initial setup and deployment.

    What about the implementation team?

    For the deployment team, we have a production development team that isn't just one person; it's a combination of almost eight or nine teams working together. Depending on the team's requirements, they handle deployments at different times, so around ten people are involved.

    Which other solutions did I evaluate?

    The reviewer needed more time to provide information about differences with other integration platforms.

    What other advice do I have?

    I have experience with Informatica solutions, specifically with Informatica Intelligent Cloud Services. This is for my project basis, as IICS is the cloud-native solution they supply us for this purpose. I focus on ETL, ELT, reusable integration artifacts, and cloud data integration, including Snowflake . Everything is there, including scalability and performance, which are also good.

    On a scale of 1-10, I rate Informatica Intelligent Cloud Services a 9 out of 10.

    Divya-Raj

    Handles large data volumes effectively and offers competitive pricing

    Reviewed on Mar 27, 2025
    Review provided by PeerSpot

    What is our primary use case?

    One of the projects I am currently working on, MVDW, involves a very huge volume, but without any major blockers, we are able to implement the code effectively. For the current MVDW project, we have around 100 plus integrations, and it is not a complex project; we can categorize it as medium complexity. However, the volume is significant since we are dealing with client data and PHI data, which is very large, but we have not faced any challenges concerning volume.

    What is most valuable?

    Informatica Intelligent Cloud Services can handle a really huge volume of data. Informatica is really a good tool to handle large volumes when it comes to CDI, the Cloud Data Integration tool.

    Informatica Intelligent Cloud Services is very scalable. The scalability provided by Informatica is commendable, and I don't feel any challenges regarding this aspect. We are able to automate our features effectively.

    Informatica Intelligent Cloud Services has good governance and security features. We are dealing with metadata and not playing directly with the data, which means the security measures are very good. From a developer's point of view, only the metadata is visible, which cannot be compromised. Developers do not need to control the actual data; they can build without even interacting with the data itself, so I don't foresee any security issues for developers in this context.

    What needs improvement?

    There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead.

    We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB.

    The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

    For how long have I used the solution?

    I have been working with Informatica Intelligent Cloud Services for the last 8 years.

    What do I think about the stability of the solution?

    I do not face any major issues regarding the stability or reliability of Informatica. We are good without any significant challenges; in my opinion, it is a very wonderful tool.

    What do I think about the scalability of the solution?

    I find Informatica Intelligent Cloud Services to be very scalable. The scalability provided by Informatica is commendable, and I don't feel any challenges regarding this aspect.

    How are customer service and support?

    Regarding tech support, I find it time-consuming. Whenever we create a support ticket, it typically takes 1 to 2 days to get resolved. It depends on how the Informatica support team responds. Most of the time, whatever we explore, they provide the same statements as feedback. We expect more responsive assistance because they have the expertise since Informatica is their tool, but I don't see enough expertise on the Informatica support side. Most of the time, they share the same information that we have already dug into and found ourselves.

    How would you rate customer service and support?

    Positive

    How was the initial setup?

    I find the initial setup to be simple, actually. It is not even medium complex; it is straightforward. When comparing it to other tools, especially Informatica PowerCenter, which is an on-premise tool, the cloud version provides a significant advantage, allowing even those without core technical knowledge to follow guidance and complete the installation and setup.

    The time frame for setup depends on the individual. If someone has expertise, they can set it up in about 2 to 3 hours maximum.

    What was our ROI?

    Regarding return on investment, I find that sometimes leadership prefers to utilize third-party tools, such as Snowflake, which has both storage and ELT features. Thus, there are projects where cost-cutting leads to a preference for Snowflake over Informatica because of its existing ELT facility.

    What's my experience with pricing, setup cost, and licensing?

    Regarding pricing, compared to other tools I have worked with, Informatica offers competitive pricing, which I find not high in terms of starting strategy.

    What other advice do I have?

    This is a very beautiful tool compared to other tools on the market. I recommend Informatica because anyone with a bit of knowledge, even a beginner or intern, can explore, learn, and accomplish development tasks without much difficulty. For those considering any integration tool, Informatica is one of the best available options in the market.

    I still see that they are working aggressively to introduce new features. They are continuously adding improvements to our services. They keep on enhancing the tool based on the information they receive.

    Informatica Intelligent Cloud Services can handle huge volumes of data effectively; it is highly scalable and manages security well by playing with metadata instead of directly dealing with data. This aspect allows us to build our code without exposing client information, which are significant pros. However, there are still areas requiring improvement, especially on the API side, as it can't handle large volumes. There is much more need to be built regarding images, merging, and other features related to application integration tools within Informatica.

    Once everything is set up, the team can easily manage the system because there are not major challenges once the setup is done correctly. I don't believe we face any challenges, except for instances when the server is down, which is a different use case altogether.

    On a scale of 1-10, I rate Informatica Intelligent Cloud Services a 9.5.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Other
    Joseph Bojilov

    Connectors streamline data processes and optimize cloud-based operations

    Reviewed on Mar 20, 2025
    Review provided by PeerSpot

    What is our primary use case?

    I use Informatica Intelligent Cloud Services  predominantly for data integration. I utilize it for building data pipelines, which is a critical aspect of my job.

    What is most valuable?

    The most valuable feature of Informatica Intelligent Cloud Services  for me is the availability of connectors. A connector is a piece of software that allows access to specific solutions such as D365, Snowflake , and various databases. The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort that would otherwise be spent accessing data via other methods like APIs.

    What needs improvement?

    The tool is quite good overall, but sometimes the number of modules can be overwhelming. If the development interface could be optimized to have fewer modules, it would be greatly beneficial.

    For how long have I used the solution?

    I have been using Informatica Intelligent Cloud Services for a year. Before that, I operated in a different environment, and I am now fully in the cloud.

    What do I think about the stability of the solution?

    I would rate the stability of Informatica Intelligent Cloud Services as seven or eight. At the moment, everything seems fine and I don't have any issues with its stability.

    What do I think about the scalability of the solution?

    I rate the scalability of Informatica Intelligent Cloud Services as eight. There are many options available, and the licensing model is quite good, supporting our needs effectively. It's quite important to maintain its current licensing model.

    How are customer service and support?

    The customer service and support for Informatica Intelligent Cloud Services is rated as eight. My impression of their support is positive, and everything is functioning well.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    Previously, my solution was not cloud-based and was hosted in our data center. However, I've now transitioned to a cloud-based approach with Informatica Intelligent Cloud Services due to its suitable licensing model.

    How was the initial setup?

    For me, the initial setup was very easy because Informatica primarily manages that. I am not responsible for setting up anything since it is provided as Software-as-a-Service.

    What about the implementation team?

    The developers maintain their own pipelines, job schedules, and so on. I don't require dedicated people solely for maintenance.

    What was our ROI?

    I haven't observed a return on investment in hard figures yet, but Informatica Intelligent Cloud Services does save me a significant amount of time.

    What's my experience with pricing, setup cost, and licensing?

    Informatica Intelligent Cloud Services is affordable for my specific use cases, with the pricing being rated three or four on a scale where one is very cheap. The affordability may vary based on how much data is manipulated.

    Which other solutions did I evaluate?

    I evaluated a couple of options before selecting Informatica Intelligent Cloud Services. The most suitable licensing model was the deciding factor in my choice.

    What other advice do I have?

    The overall solution is rated as eight. I plan to continue using Informatica Intelligent Cloud Services for data integration whenever required.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Other
    PrashantTripathi

    Advanced cloud services optimize robust data integration

    Reviewed on Oct 25, 2024
    Review provided by PeerSpot

    What is our primary use case?

    On one of my projects, we used Informatica Intelligent Cloud Services  for ingestion purposes. Secondly, we used it as a regular ETL for performing heavy transformations.

    How has it helped my organization?

    In our current scenario, we are moving our on-premise artifacts, which are on PowerCenter , to the cloud. It was surprisingly quick to get everything working, which has been beneficial for our operations.

    What is most valuable?

    Informatica Intelligent Cloud Services  offers a wide variety of services, including Cloud Data Integration , which is akin to a replica of PowerCenter  on the cloud. I particularly like the mass ingestion service.

    What needs improvement?

    The cloud version of Informatica, although easier and more advanced than PowerCenter, still requires a deep dive to fix bugs. It could be improved by making the process as intuitive and easy to follow as PowerCenter.

    For how long have I used the solution?

    I have delivered two projects using it, so from my experience, the tool is very good.

    What do I think about the stability of the solution?

    There are some bugs and glitches, which for a beginner, can take time to resolve. This may be because I have spent less time on the tool compared to others.

    What do I think about the scalability of the solution?

    Scalability doesn't impact Informatica technically, but it does take a lot of money when we keep adding users.

    How are customer service and support?

    Informatica technical support is excellent. I would rate it a nine. They are top-notch.

    How would you rate customer service and support?

    Positive

    How was the initial setup?

    The initial setup is easy and not complex.

    What's my experience with pricing, setup cost, and licensing?

    Pricing is a bit high, similar to a premium version or a high-end product, and requires a budget ready to manage it.

    Which other solutions did I evaluate?

    During POCs, we explored other ETLs like Firetran for ingestion purposes, but Informatica's capabilities are robust.

    What other advice do I have?

    For a robust use case, especially for large enterprises, Informatica Intelligent Cloud Services is a good tool with good support. However, make sure to have a budget ready.

    I would rate it an eight out of ten.

    Which deployment model are you using for this solution?

    Public Cloud
    PrabhakarKumar

    An easy setup with efficient data synchronization that keeps information updated

    Reviewed on Oct 08, 2024
    Review provided by PeerSpot

    What is our primary use case?

    We utilize Intelligent Cloud Services for various transformations during mapping, applied logic, and data manipulation. We use it to complete tasks such as using joiner, filter, and expression transformation to load data into the target table. It can integrate with any cloud system.

    What is most valuable?

    There are two things regarding synchronization: one synchronizes the source to the target, which can be incremental, and the other is non-incremental. This functionality keeps the data updated with the latest information.

    What needs improvement?

    In terms of data volume processing, Intelligent Cloud Services does not match the efficiency of Power Center. The processing speed is slower for large volumes of data. I'm not sure if there have been improvements in the latest versions as my experience is from six or seven months ago. Additionally, not all transformations available in Power Center are present in Intelligent Cloud Services, like the XML parser and normalizer.

    For how long have I used the solution?

    I have been working with Intelligent Cloud Services for around three years.

    What do I think about the stability of the solution?

    Stability is quite good. I've faced no significant difficulties or downtime issues. The services were always available for my projects.

    What do I think about the scalability of the solution?

    I rate the scalability of Intelligent Cloud Services as quite high. On a scale from one to ten, I would rate it as nine.

    How are customer service and support?

    Customer service and technical support are excellent. Whenever I raised tickets, I received solutions promptly. I would rate them ten out of ten.

    How would you rate customer service and support?

    Positive

    How was the initial setup?

    The setup is very simple. The administration is not involved with Intelligent Cloud Services. Informatica handles the setup since it's hosted by them.

    What's my experience with pricing, setup cost, and licensing?

    Pricing is moderate. I do not recall the exact numbers for the license cost at the moment.

    What other advice do I have?

    I recommend Intelligent Cloud Services for companies of all sizes, including small and medium enterprises, as administration costs can be saved, and the service offers cloud connectivity and plugins.

    I'd rate the solution ten out of ten.

    Which deployment model are you using for this solution?

    Public Cloud
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