Azure Data Factory vs. Informatica Cloud Data Integration

As of May 2019, Azure Data Factory is ranked 17th in Data Integration Tools with 1 review vs Informatica Cloud Data Integration which is ranked 1st in Cloud Data Integration with 4 reviews. The top reviewer of Azure Data Factory writes "Data Flow and Databricks are going to be extremely valuable services". The top reviewer of Informatica Cloud Data Integration writes "It has become an easy way to exchange information through any cloud application". Azure Data Factory is most compared with Informatica Enterprise Data Catalog, Dell Boomi AtomSphere and StreamSets. Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Matillion ETL and Dell Boomi AtomSphere.
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Most Helpful Review
Find out what your peers are saying about Oracle, Informatica, Microsoft and others in Data Integration Tools. Updated: May 2019.
341,056 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
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 has become an easy way to exchange information through any cloud application.I like the fact that you can find almost any product connection that you need and the list is always expanding.Data synchronization tasks.

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Cons
The thing we missed most was data update, but this is now available as of two weeks ago.

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The biggest challenge I see is the IDE's for the cloud and automization are different.It needs to be a little more intuitive but it’s really not bad.Error reporting and debugging need improvement.

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Ranking
17th
Views
431
Comparisons
373
Reviews
1
Average Words per Review
259
Avg. Rating
9.0
1st
Views
12,520
Comparisons
7,723
Reviews
8
Average Words per Review
314
Avg. Rating
8.1
Top Comparisons
Compared 13% of the time.
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Microsoft
Informatica
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.

Informatica Cloud Data Integration is a unified and modern user experience across all iPaaS patterns, supported by a meta-data driven, modular, artificial intelligence-based microservices architecture tailored for IT, developers, and business users. It help delivers accessible, trusted, and secure data to facilitate more valuable business decisions and identify competitive advantages. Informatica Cloud Data Integration can help to distribute data warehouse and analytics projects. Features include the following: Deliver integrated and relevant data, Scale with data synchronization and replication, Integrate asset management, Support high-volume workloads, Design cloud mappings and Execute visual data integration flows.
Offer
Learn more about Azure Data Factory
Learn more about Informatica Cloud Data Integration
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid Chicago Cubs, Telegraph Media Group
Top Industries
No Data Available
REVIEWERS
Software R&D Company29%
Pharma/Biotech Company29%
Individual & Family Service14%
Manufacturing Company14%
VISITORS READING REVIEWS
Financial Services Firm46%
Comms Service Provider8%
Manufacturing Company8%
Marketing Services Firm8%
Find out what your peers are saying about Oracle, Informatica, Microsoft and others in Data Integration Tools. Updated: May 2019.
341,056 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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