Informatica Cloud Data Integration vs Qlik Compose comparison

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Executive Summary

We performed a comparison between Informatica Cloud Data Integration and Qlik Compose 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 Compose Report (Updated: March 2024).
765,386 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
"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier.""Data synchronization tasks.""We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors.""Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables.""Whether we need data cleansing or data mastering, we get it all in one platform.""It is quite easy to use and flexible.""Informatica Cloud Data Integration is stable.""The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."

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"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good.""The technical support is very good. I rate the technical support a ten out of ten.""There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms.""It's a stable solution.""It can scale.""One of the most valuable features of this tool is its automation capabilities, allowing us to design the warehouse in an automated manner. Additionally, we can generate Data Lifecycle Policies (DLP) reports and efficiently implement updates and best practices based on proven design patterns.""The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities.""I have found it to be a very good, stable, and strong product."

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Cons
"One area that needs to improve is the user experience because it is very complex. The trial version is very complex so it's not easy to start using the program immediately. You must study the rules first.""One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities.""There are a small number of UI bugs that occur on occasion.""It could be improved by including a buffer that saves data when there is a connectivity issue.""The biggest challenge I see is the IDE's for the cloud and automization are different.""The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price.""Its features for partitioning and optimization could be better.""Informatica Cloud Data Integration could improve the price by making it less expensive."

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"It would be better if the first level of technical support were a bit more technically knowledgeable to solve the problem. I think they could also improve the injection of custom scripts. It is pretty difficult to add additional scripts. If the modeling doesn't give you what you want, and you want to change the script generated by the modeling, it is a bit more challenging than in most other products. It is very good with standard form type systems, but if you get a more complicated data paradigm, it tends to struggle with transforming that into a model.""When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates.""Qlik's ETL and data transformation could be better.""My issues with the solution's stability are owing to the fact that it has certain bugs causing issues in some functionalities that should be working.""There could be more customization options.""The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring.""I'd like to have access to more developer training materials.""There should be proper documentation available for the implementation process."

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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."
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  • "On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."
  • "The price of the solution is expensive."
  • "While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."
  • More Qlik Compose 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:There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cubes… more »
    Top Answer:The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities.
    Top Answer:While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us.
    Ranking
    5th
    Views
    3,648
    Comparisons
    2,996
    Reviews
    17
    Average Words per Review
    467
    Rating
    7.8
    18th
    out of 94 in Data Integration
    Views
    2,162
    Comparisons
    1,624
    Reviews
    10
    Average Words per Review
    460
    Rating
    7.7
    Comparisons
    Also Known As
    Compose, Attunity Compose
    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 Sense is a powerful business intelligence tool that offers a range of features to help organizations make faster and more informed decisions. Its primary use cases include operational and financial dashboards, self-service reporting, and centralized access to cross-functional reports. The solution is praised for its mobile platform, ease of use, data-sharing capabilities, and extensibility. 

    Qlik Sense has helped organizations improve data literacy, reduce time consumed in complex reports, and provide widely available MI to senior stakeholders. It also enables self-service analytics, improves data quality and governance, enhances collaboration, and reduces costs.

    Sample Customers
    Chicago Cubs, Telegraph Media Group
    Poly-Wood
    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 Firm13%
    Manufacturing Company11%
    Computer Software Company11%
    Retailer6%
    Company Size
    REVIEWERS
    Small Business21%
    Midsize Enterprise21%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business36%
    Midsize Enterprise9%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise70%
    Buyer's Guide
    Informatica Cloud Data Integration vs. Qlik Compose
    March 2024
    Find out what your peers are saying about Informatica Cloud Data Integration vs. Qlik Compose and other solutions. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 38 reviews while Qlik Compose is ranked 18th in Data Integration with 12 reviews. Informatica Cloud Data Integration is rated 7.8, while Qlik Compose is rated 7.6. 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 Compose writes "Easy matching and reconciliation of data". Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Mule Anypoint Platform, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Palantir Foundry. See our Informatica Cloud Data Integration vs. Qlik Compose 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.