Compare Matillion ETL vs. Qlik Compose

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Matillion ETL Logo
10,745 views|7,175 comparisons
Qlik Compose Logo
1,670 views|1,386 comparisons
Most Helpful Review
Find out what your peers are saying about Seeburger, MuleSoft, Matillion and others in Cloud Data Integration. Updated: November 2020.
447,228 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
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs.""It has helped us to get onto the cloud quickly.""The technical support treats us well. They already have a support portal, and they are responsive, which helps.""We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL).""It is pretty user-friendly, even for people who aren't super technical.""It has good integrations with Amazon Redshift and other AWS services.""It has improved the costs of managing my customer’s data.""It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."

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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."

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Cons
"Performance can be improved for efficiency, and it can be made faster.""While the UI is good, it could be improved in its efficiency and made easier to use.""To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful.""In the next release, we would like to have connections to more databases.""Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion.""It needs integration with more data sources.""Ideally, I would like it to integrate with Secrets Manager as well as the AWS."

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"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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Pricing and Cost Advice
"I have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research.""It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less.""The prices needs to be lower.""It was very easy to purchase through the AWS Marketplace, but it was also expensive.""Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing.""It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on.""The AWS pricing and licensing are a cost-effective solution for data integration needs.""It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."

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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 »
Ranking
3rd
Views
10,745
Comparisons
7,175
Reviews
7
Average Words per Review
579
Avg. Rating
8.4
29th
Views
1,670
Comparisons
1,386
Reviews
1
Average Words per Review
989
Avg. Rating
6.0
Popular Comparisons
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Also Known As
Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQueryCompose, Attunity Compose
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Matillion
Qlik
Overview

Matillion ETL for Redshift is a fast, modern, easy-to-use and powerful ETL/ELT tool that makes it simple and productive to load and transform data on Amazon Redshift.  100 x faster than traditional ETL technology, up and running in under 5 minutes and prices from $1.37 per hour, with no commitments or up-front costs.

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.

Offer
Learn more about Matillion ETL
Learn more about Qlik Compose
Sample Customers
Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming IncPoly-Wood
Top Industries
VISITORS READING REVIEWS
Computer Software Company37%
Comms Service Provider8%
Media Company8%
Insurance Company7%
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider13%
Energy/Utilities Company10%
Government7%
Company Size
REVIEWERS
Small Business33%
Midsize Enterprise33%
Large Enterprise33%
No Data Available
Find out what your peers are saying about Seeburger, MuleSoft, Matillion and others in Cloud Data Integration. Updated: November 2020.
447,228 professionals have used our research since 2012.
Matillion ETL is ranked 3rd in Cloud Data Integration with 7 reviews while Qlik Compose is ranked 29th in Data Integration Tools with 1 review. Matillion ETL is rated 8.4, while Qlik Compose is rated 6.0. The top reviewer of Matillion ETL writes "An inexpensive solution that's very fast and extremely easy to use". On the other hand, the top reviewer of Qlik Compose writes "Excellent data integration but needs better scheduling and monitoring features". Matillion ETL is most compared with Talend Open Studio, Azure Data Factory, Informatica Cloud Data Integration, Informatica PowerCenter and SSIS, whereas Qlik Compose is most compared with Qlik Replicate, Azure Data Factory, WhereScape RED, Palantir Foundry and AWS Database Migration Service.

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