We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Its simplicity and the way it handles graphs are the most valuable features."
"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."
"I have found it to be a very good, stable, and strong product."
"If I could give any advice to the guys who are developing it, I would suggest them to really look at the enterprise features, such as being able to log what's going on, being able to capture the current state of processing, and being able to recover from error situations. So, there should be a focus on logging, recoverability, and monitoring. We should be able to monitor what's going on, and in case of any issues, we should be able to recover and restart processing and other things. For scalability and performance, I would probably suggest the Pushdown feature so that you can do the transformation directly on the data source. You do not need to do that calculation within the ETL server. For this, you should be aware of the type of data because each database or kind of storage, such as Hadoop, has its own ANSI standard or language, such as SQL. Microsoft, Oracle, and IBM have their own language. Based on the feedback that I have got, its initial setup takes some time. It could perhaps be simpler."
"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 believe that visual data flow management and the transformation function should be improved."
"Its price and value for money would be okay for our purpose if there were some additional features."
We help clients build and manage better data pipelines, with the CloverDX Data Management Platform and our in-house team of data experts.
Founded in 2007, we now have offices in the US, UK and Czech Republic, and work with some of the world’s leading companies in industries such as finance, healthcare and consulting.
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.
CloverDX Designer is ranked 37th in Data Integration Tools with 1 review while Qlik Compose is ranked 36th in Data Integration Tools with 2 reviews. CloverDX Designer is rated 7.0, while Qlik Compose is rated 6.0. The top reviewer of CloverDX Designer writes "Simple, stable, and allows us to handle data from various sources, but needs enterprise features for logging, recoverability, and monitoring". On the other hand, the top reviewer of Qlik Compose writes "Excellent data integration but needs better scheduling and monitoring features". CloverDX Designer is most compared with , whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, Palantir Foundry and WhereScape RED.
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