Informatica Cloud Data Integration vs Qlik Replicate comparison

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Informatica Logo
3,563 views|2,909 comparisons
88% willing to recommend
Qlik Logo
6,122 views|5,053 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Cloud Data Integration and Qlik Replicate 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. Qlik Replicate Report (Updated: March 2024).
768,578 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
"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job.""The mass ingestion functionality and the elasticity of the solution are great.""The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic.""It has become an easy way to exchange information through any cloud application.""The solution has the best feature for parameterization.""Informatica Cloud Data Integration is stable.""Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier.""The program is stable and scalable."

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"It's very user-friendly when it comes to settings and configuration. It also offers very detailed logging about warnings and errors.""Qlik Replicate stands out with its cutting-edge technology and its ability to handle diverse data management tasks. This powerful tool allows us to efficiently and swiftly load data into various data stores or destinations, while also enabling easy distribution across different endpoints. A notable feature is its capability to reload data from multiple sources by creating multiple tasks within a brief timeframe of fifteen to twenty minutes. This eliminates the need for manual intervention and ensures quick data loading from different tables.""Low-priced reporting and analytics solution, with good scalability and stability. It has on-premises and cloud versions that are cohesive and can integrate well.""Great with replicating and updating records.""The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate.""It enables us to transform data at the latest stage rather than in ETL loads, so it's more ELT which is one of the advantages. It is also in near real-time, which brings significant advantage for our embedded analytics approach.""From a technical perspective, this is an excellent product.""Support has been great."

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Cons
"I have received feedback from certain teams and there is a steep learning curve to use this solution.""Informatica Cloud Data Integration could improve the price by making it less expensive.""I would also like to have profiling functionalities and quality transformations in the cloud.""I would like to see support for more data sources.""The cloud version could be better in terms of pricing.""It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality.""The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price.""The biggest challenge I see is the IDE's for the cloud and automization are different."

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"We would like to see more details in messages about errors with the system.""The UI and data version control can be improved.""When you remote into it the Qlik Replicate UI a lot of times it just freezes. We set up the EC2, to allow them to go to the server and click on the Replicate icon, it just opens up and just sits there. At that point, we have to go into the EC2 and then reboot the server. This should be fixed, it is frustrating.""It would be better if the solution’s pricing were more obvious.""In the next release, I would like to see closer integration with data catalyst.""We'd like better connectivity.""Support for this product is not great. It needs to be improved.""In various scenarios, an important consideration is when we encounter issues and Qlik Replicate suggests reloading a specific table. If we face any problems or encounter errors with that table, it becomes necessary to make a change in Qlik Replicate. Performing a full reload every time is not feasible or practical. Instead, we should identify the specific issues and address them without repeating the entire reloading process. Based on this approach, we can investigate and resolve the problem by performing targeted loads from the source itself. This change aligns with my perspective and is something I would like to implement."

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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 →

  • "Qlik Replicate is not expensive, compared to GoldenGate."
  • "Pricing for this solution is very reasonable."
  • "Overall, Qlik is an expensive solution. You need to pay for all additional features that you would like to use."
  • "On a scale from one to ten, where one is cheap, and ten is expensive, I rate Qlik Replicate's pricing a nine out of ten."
  • More Qlik Replicate Pricing and Cost Advice →

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    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:We use Qlik Replicate to change data capture of databases in production environments.
    Top Answer:Qlik Replicate is a little fuzzy sometimes as to how it's priced. It would be better if the solution’s pricing were more obvious.
    Top Answer:Qlik Replicate is used when a company wants to make some sort of universal bus, a data chain where you have a continuous feed of data flowing in from source to target. The solution helps you hook in… more »
    Ranking
    5th
    Views
    3,563
    Comparisons
    2,909
    Reviews
    17
    Average Words per Review
    467
    Rating
    7.8
    17th
    out of 100 in Data Integration
    Views
    6,122
    Comparisons
    5,053
    Reviews
    6
    Average Words per Review
    362
    Rating
    8.2
    Comparisons
    Also Known As
    Replicate, Qlik Replicate
    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.

    Qlik Replicate is a data replication solution for replicating data from one source database to another for business intelligence software. It offers data manipulation and transformations, replication without impacting source databases, and ease of use without needing ETL. The solution is stable and user-friendly, with detailed logging and support. 

    Qlik Replicate has improved the organization by allowing each team to replicate their data into a single-source data location. The most important feature of Qlik Replicate is its ability to replicate and update records without needing a programmer.

    Sample Customers
    Chicago Cubs, Telegraph Media Group
    American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
    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%
    REVIEWERS
    Government29%
    Computer Software Company29%
    Manufacturing Company29%
    Financial Services Firm14%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company12%
    Manufacturing Company12%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business21%
    Midsize Enterprise21%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business36%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise75%
    Buyer's Guide
    Informatica Cloud Data Integration vs. Qlik Replicate
    March 2024
    Find out what your peers are saying about Informatica Cloud Data Integration vs. Qlik Replicate and other solutions. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews while Qlik Replicate is ranked 17th in Data Integration with 12 reviews. Informatica Cloud Data Integration is rated 7.8, while Qlik Replicate is rated 8.2. The top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". On the other hand, the top reviewer of Qlik Replicate writes "A highly stable solution that can be used to change data capture in legacy systems". Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Confluent, whereas Qlik Replicate is most compared with Oracle GoldenGate, AWS Database Migration Service, Qlik Compose, Azure Data Factory and IBM InfoSphere Information Server. See our Informatica Cloud Data Integration vs. Qlik Replicate 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.