Compare Azure Data Factory vs. Matillion ETL

Azure Data Factory is ranked 14th in Data Integration Tools with 2 reviews while Matillion ETL is ranked 2nd in Cloud Data Integration with 7 reviews. Azure Data Factory is rated 9.6, while Matillion ETL is rated 8.4. The top reviewer of Azure Data Factory writes "A straightforward solution with a nice interface and ability to integrate with GitHub". On the other hand, the top reviewer of Matillion ETL writes "An inexpensive solution that's very fast and extremely easy to use". Azure Data Factory is most compared with Informatica Enterprise Data Catalog, Talend Open Studio and Dell Boomi AtomSphere, whereas Matillion ETL is most compared with Talend Open Studio, Informatica Cloud Data Integration and SSIS.
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Azure Data Factory Logo
2,858 views|2,197 comparisons
Matillion ETL Logo
8,759 views|5,503 comparisons
Most Helpful Review
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration Tools. Updated: October 2019.
372,185 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
The solution has a good interface and the integration with GitHub is very useful.This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily.Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added.

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It's highly scalable. It takes upon itself the Redshift scalability, so it's very good.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.It is pretty user-friendly, even for people who aren't super technical.It has good integrations with Amazon Redshift and other AWS services.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 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.

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Cons
In the next release, it's important that some sort of scheduler for running tasks is added.The thing we missed most was data update, but this is now available as of two weeks ago.

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Ideally, I would like it to integrate with Secrets Manager as well as the AWS.It needs integration with more data sources.Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion.In the next release, we would like to have connections to more databases.To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful.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.

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Pricing and Cost Advice
Information Not Available
The solution is very cheap. You're paying $2.50 an hour and if you set your service up, which you can do, you're not getting charged. Currently, our ETL process is just an overnight process that runs for about an hour. I can start and stop my server just for an hour if I want to and spent $2.50 a day for an ETL solution. There are no additional costs.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.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 prices needs to be lower.It was very easy to purchase through the AWS Marketplace, but it was also expensive.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.

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Ranking
14th
Views
2,858
Comparisons
2,197
Reviews
2
Average Words per Review
396
Avg. Rating
9.5
2nd
Views
8,759
Comparisons
5,503
Reviews
7
Average Words per Review
578
Avg. Rating
8.4
Top Comparisons
Compared 28% of the time.
Compared 10% of the time.
Also Known As
Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
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Microsoft
Matillion
Overview

Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.

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.

Offer
Learn more about Azure Data Factory
Learn more about Matillion ETL
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Top Industries
VISITORS READING REVIEWS
Software R&D Company45%
Comms Service Provider7%
Retailer7%
Government5%
VISITORS READING REVIEWS
Software R&D Company34%
K 12 Educational Company Or School7%
Manufacturing Company6%
Financial Services Firm6%
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration Tools. Updated: October 2019.
372,185 professionals have used our research since 2012.
We monitor all Data Integration Tools 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.
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