Compare Qlik Compose vs. WhereScape RED

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Qlik Compose Logo
1,765 views|1,441 comparisons
WhereScape RED Logo
12,123 views|4,965 comparisons
Most Helpful Review
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: January 2021.
456,495 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"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."

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"I found the initial setup very easy.""The most valuable feature is the metadata generated code."

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Cons
"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."

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"The solution can be a little more user-friendly on enterprise-level where people use it.""Project-based searching of data objects in the data warehouse browser needs to be improved."

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Questions from the Community
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… more »
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Ranking
30th
Views
1,765
Comparisons
1,441
Reviews
1
Average Words per Review
989
Rating
6.0
16th
Views
12,123
Comparisons
4,965
Reviews
2
Average Words per Review
489
Rating
8.0
Popular Comparisons
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Compared 22% of the time.
Compared 13% of the time.
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Also Known As
Compose, Attunity Compose
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Qlik
WhereScape
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Overview

Qlik Compose comes in two offerings: Qlik Compose for Data Warehouses and Qlik Compose for Data Lakes. Qlik Compose for Data Warehouse automates and streamlines the design, creation, loading, management, and update of data warehouses including Amazon Redshift, Azure Synapse, Google BigQuery, Snowflake and Oracle. Qlik Compose for Data Lakes automates the process of providing continuously updated, accurate, and trusted data to big data platforms like Apache Hadoop, Cloudera Customer Data Platform and Databricks Unified Data Analytics Platform.

WhereScape RED is data warehouse software to help build data warehouses faster. But it is more than that. It also helps you to build data warehouses that are easy to support, change and extend. It is an integrated development environment, or IDE, especially designed to build great data warehouses faster in SQL Server, Teradata, DB2 and Oracle.
Offer
Learn more about Qlik Compose
Learn more about WhereScape RED
Sample Customers
Poly-WoodJersey Electricity, Man Group Plc, Learning Care Group, First Data, Hunter Douglas, The City of Shoreline, ASB
Top Industries
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider13%
Energy/Utilities Company11%
Manufacturing Company6%
REVIEWERS
Healthcare Company30%
University30%
Non Profit10%
Energy/Utilities Company10%
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider11%
Insurance Company10%
Real Estate/Law Firm6%
Company Size
No Data Available
REVIEWERS
Small Business24%
Midsize Enterprise24%
Large Enterprise53%
VISITORS READING REVIEWS
Small Business20%
Midsize Enterprise30%
Large Enterprise50%
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: January 2021.
456,495 professionals have used our research since 2012.

Qlik Compose is ranked 30th in Data Integration Tools with 1 review while WhereScape RED is ranked 16th in Data Integration Tools with 2 reviews. Qlik Compose is rated 6.0, while WhereScape RED is rated 8.0. The top reviewer of Qlik Compose writes "Excellent data integration but needs better scheduling and monitoring features". On the other hand, the top reviewer of WhereScape RED writes "Automation tool - spend less time writing code". Qlik Compose is most compared with Qlik Replicate, Azure Data Factory, Palantir Foundry, Informatica PowerCenter and SSIS, whereas WhereScape RED is most compared with SSIS, Informatica PowerCenter, Azure Data Factory, Matillion ETL and Denodo.

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