Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose comparison

Informatica and Qlik are both solutions in the Data Integration category. Informatica is ranked #3 with an average rating of 7.8, while Qlik is ranked #22 with an average rating of 7.9. Additionally, 93% of Informatica users are willing to recommend the solution, compared to 81% of Qlik users who would recommend it.

Informatica Intelligent Dat...

Read 181 Informatica Intelligent Data Management Cloud (IDMC) reviews

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10,140 Comparison Views

93% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

1,710 Views
1,330 Comparison Views

81% willing to recommend

Informatica Intelligent Dat...

Qlik Compose

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Executive SummaryUpdated on Dec 19, 2024

Informatica Intelligent Data Management Cloud (IDMC) and Qlik Compose are significant players in the data management sector. Based on feature richness and flexibility, IDMC tends to hold an advantage due to its comprehensive capabilities and integration support.

Features:IDMC offers seamless integration of MDM, data quality, and data integration modules. It supports various styles with a flexible architecture and excels in data profiling and ETL capabilities. Qlik Compose provides basic ETL functions and suitable automation features, including real-time replication and automation capabilities for designing warehouses.

Room for Improvement:IDMC needs to enhance integration with SAP systems, improve data stewardship, and address GUI performance issues. Users seek more pre-configured business rules. Qlik Compose requires enhancements in scalability and better transformation functions for large-scale data processing.

Ease of Deployment and Customer Service:IDMC is available for on-premises, hybrid, and cloud environments, providing flexible customer service, praised for support but affected by time zone delays. Qlik Compose is primarily for on-premises and private cloud, with mixed service reviews varying from prompt to slow.

Pricing and ROI:IDMC is considered costly but offers comprehensive features with good ROI from improved data quality and reduced management time. Qlik Compose is less cost-effective, lacking advanced features for complex transformations, resulting in higher licensing costs but remains competitive in the market.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. Qlik Compose Report (Updated: November 2024).

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. Qlik Compose

November 2024

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Categories and Ranking

Informatica Intelligent Dat...

Ranking in Data Integration

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

181

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (3rd), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (4th), Product Information Management (PIM) (1st), Data Observability (2nd)

Qlik Compose

Ranking in Data Integration

22nd

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Raj Sethupathi

Data Integration Consultant GCP/AWS at Infogrators Inc

Offers profiling and address standardization but can be complicated

Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

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Sahil Taneja

Principal Consultant/Manager at Tenzing

Easy matching and reconciliation of data

The initial setup was easy for the data warehousing concept. But for a person who is new to ETL and warehousing concepts, it may take some time. If someone is familiar with these concepts, they could understand and learn the tool quickly. However, compared to other tools, the UI is complex. It would be helpful to have a better UI and documentation for new users. As of now, there is a challenge in learning the Compose tool for new users altogether. Qlik Compose was deployed on-premises. But the servers, like the SQL servers were maintained on the cloud—the managed instances.

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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

"The way that the solution scans is very useful."

"The most valuable feature of Informatica Axon has been the data marketplace."

"The product is scalable and excellent for enterprise-level organizations."

"What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details."

"The solution's scalability is high."

"We are able to set rules, establish a data quality management platform, and monitor the quality."

"We can scan anything."

"The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"The technical support is very good. I rate the technical support a ten out of ten."

"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."

"Qlik Compose is good enough. It is user-friendly and intuitive."

"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."

"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."

"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."

"It's a stable solution."

"It can scale."

More Qlik Compose pros

Cons

"The stability and the integration of the solution have room for improvement."

"New machine learning could be added to Informatica MDM because the solution is outdated and is not moving with the current trends. The solution is good, but it definitely needs a lot of improvement and needs to speed up as per the market."

"I have received feedback from certain teams and there is a steep learning curve to use this solution."

"I would rate my experience with the initial setup a two out of ten, with one being difficult and ten being easy."

"There may be some types of limitations with the performance."

"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."

"I have encountered some issues using the substitution, which is one of the techniques of data masking."

"The cloud version could be better in terms of pricing."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"I'd like to have access to more developer training materials."

"There could be more customization options."

"For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails."

"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."

"Qlik's ETL and data transformation could be better."

"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."

"There is some scope for improvement around the documentation, and a better UI would definitely help."

"I believe that visual data flow management and the transformation function should be improved."

More Qlik Compose cons

Pricing and Cost Advice

"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."

"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."

"The price of Informatica Cloud Data Integration could be reduced."

"The price is high, but the competitors are even higher, like Collibra."

"It's a very expensive solution"

"The price is neither too high nor too low."

"Informatica Axon is expensive."

"Informatica MDM's pricetag should come down. They have to cut some costs."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

"The price of the solution is expensive."

"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."

"While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

10%

Government

Financial Services Firm

15%

Manufacturing Company

11%

Computer Software Company

10%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?

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 Q...

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Which Informatica product would you choose - PowerCenter or Cloud Data Integration?

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...

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What are the biggest benefits of using Informatica Cloud Data Integration?

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 ...

See all answers

Which ETL tool would you recommend to populate data from OLTP to OLAP?

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 cu...

See all answers

What do you like most about Qlik Compose?

The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities.

See all answers

What is your experience regarding pricing and costs for Qlik Compose?

While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us.

See all answers

Comparisons

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 8% of the time

Azure Data Factory vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 7% of the time

Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 5% of the time

Microsoft Purview Data Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

AWS Glue vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

More Informatica Intelligent Data Management Cloud (IDMC) Competitors

Qlik Replicate vs Qlik Compose

Compared 57% of the time

Talend Open Studio vs Qlik Compose

Compared 15% of the time

Azure Data Factory vs Qlik Compose

Compared 7% of the time

Oracle Data Integrator (ODI) vs Qlik Compose

Compared 5% of the time

AWS Database Migration Service vs Qlik Compose

Compared 4% of the time

More Qlik Compose Competitors

Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

December 2024

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Buyer's Guide

Qlik Compose

December 2024

Download Qlik Compose product report

Also Known As

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration

Compose, Attunity Compose

Learn More

Informatica

Qlik

Overview

Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.

IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.

What are the most important features?

Data discovery: Facilitates identifying and understanding data sources.
Data profiling: Analyzes old databases for data quality.
Data and platform masking: Ensures data protection.
Salesforce integration: Seamless connectivity with Salesforce.
Mastering data: Centralizing and standardizing data.
UI intuitiveness: User-friendly interface.
Feature map flexibility: Adapts to user needs.
Business glossary creation: Defines business terms.
Data lineage: Tracks data flow and transformations.
Automation: Streamlines data processes.
Enterprise data cataloging: Organizes extensive data assets.
Scalability: Supports expanding data requirements.
Easy setup: Quick deployment process.
Bulk upload: Efficiently handles large data volumes.
Customizable data management: Tailors data solutions.
Real-time data streaming: Manages live data streams.
Integration with Hadoop and NoSQL: Connects with big data platforms.

What benefits and ROI should be considered?

Regulatory compliance: Ensures adherence to regulations.
Data protection: Safeguards sensitive information.
Enhanced data quality: Improves accuracy and reliability.
Centralized data: Consolidates data for better management.
Process automation: Reduces manual tasks and errors.

Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.

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

The Travel Company, Carbonite

Poly-Wood

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. Qlik Compose

November 2024

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