Compare Azure Data Factory vs. StreamSets

Azure Data Factory is ranked 14th in Data Integration Tools with 2 reviews while StreamSets is ranked 12th in Data Integration Tools with 1 review. Azure Data Factory is rated 9.6, while StreamSets is rated 9.0. 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 StreamSets writes "The ease of configuration for pipes is amazing, and the GUI is very nice". Azure Data Factory is most compared with Informatica Enterprise Data Catalog, Talend Open Studio and Dell Boomi AtomSphere, whereas StreamSets is most compared with Informatica PowerCenter, Talend Open Studio and Pentaho Data Integration.
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Azure Data Factory Logo
2,858 views|2,197 comparisons
StreamSets Logo
7,784 views|5,849 comparisons
Most Helpful Review
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration Tools. Updated: October 2019.
372,906 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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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
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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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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372,906 professionals have used our research since 2012.
Ranking
14th
Views
2,858
Comparisons
2,197
Reviews
2
Average Words per Review
396
Avg. Rating
9.5
12th
Views
7,784
Comparisons
5,849
Reviews
1
Average Words per Review
524
Avg. Rating
9.0
Top Comparisons
Compared 13% 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.

Offer
Learn more about Azure Data Factory
Learn more about StreamSets
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid Cisco, Lithium Technologies, Cloudera, Elastic
Top Industries
VISITORS READING REVIEWS
Software R&D Company46%
Comms Service Provider7%
Retailer6%
Manufacturing Company4%
VISITORS READING REVIEWS
Software R&D Company33%
Insurance Company10%
Financial Services Firm9%
Media Company9%
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration Tools. Updated: October 2019.
372,906 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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