Compare Azure Data Factory vs. StreamSets

Azure Data Factory is ranked 6th in Data Integration Tools with 10 reviews while StreamSets is ranked 13th in Data Integration Tools with 1 review. Azure Data Factory is rated 8.2, while StreamSets is rated 9.0. The top reviewer of Azure Data Factory writes "Straightforward and scalable but could be more intuitive". On the other hand, the top reviewer of StreamSets writes "The ease of configuration for pipes is amazing, and the GUI is very nice". Azure Data Factory is most compared with Talend Open Studio, Informatica PowerCenter and Informatica Enterprise Data Catalog, whereas StreamSets is most compared with Informatica PowerCenter, Talend Open Studio and Azure Data Factory.
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Azure Data Factory Logo
8,394 views|6,600 comparisons
StreamSets Logo
8,853 views|6,608 comparisons
Most Helpful Review
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: March 2020.
408,459 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 is easy to deploy workflows and schedule jobs.From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature.It is a complete ETL Solution.Powerful but easy-to-use and intuitive.The most valuable features are data transformations.Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good.From what we have seen so far, the solution seems very stable.The user interface is very good. It makes me feel very comfortable when I am using the tool.

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The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too

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Cons
The setup and configuration process could be simplified.The user interface could use improvement. It's not a major issue but it's something that can be improved.The Microsoft documentation is too complicated.The product could provide more ways to import and export data.The speed and performance need to be improved.On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels.The solution needs to integrate more with other providers and should have a closer integration with Oracle BI.The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way.

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I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks.StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds.

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Pricing and Cost Advice
This is a cost-effective solution.Our licensing fees are approximately 15,000 ($150 USD) per month.In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal.

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408,459 professionals have used our research since 2012.
Ranking
6th
Views
8,394
Comparisons
6,600
Reviews
10
Average Words per Review
456
Avg. Rating
8.1
13th
Views
8,853
Comparisons
6,608
Reviews
1
Average Words per Review
524
Avg. Rating
9.0
Top Comparisons
Compared 13% of the time.
Compared 9% of the time.
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StreamSets
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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.

StreamSets Dataflow Performance Manager was created to enable enterprises to harness their data in motion. It unifies visibility and control of dataflows, which reduces management costs, improves data quality and enables IT agility.

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Learn more about Azure Data Factory
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Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid Cisco, Lithium Technologies, Cloudera, Elastic
Top Industries
VISITORS READING REVIEWS
Software R&D Company54%
Comms Service Provider9%
Construction Company4%
Retailer4%
VISITORS READING REVIEWS
Software R&D Company36%
Insurance Company12%
Comms Service Provider11%
Media Company7%
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: March 2020.
408,459 professionals have used our research since 2012.
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