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Compare Azure Data Factory vs. Xplenty

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26,368 views|21,596 comparisons
Xplenty Logo
153 views|131 comparisons
Top Review
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: September 2021.
540,984 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:

Pricing and Cost Advice
"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.""This is a cost-effective solution.""The price you pay is determined by how much you use it.""Understanding the pricing model for Data Factory is quite complex.""I would not say that this product is overly expensive.""The licensing is a pay-as-you-go model, where you pay for what you consume.""Our licensing fees are approximately 15,000 ($150 USD) per month.""The licensing cost is included in the Synapse."

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Questions from the Community
Top Answer: AWS Glue and Azure Data factory for ELT best performance cloud services.
Top Answer: In terms of my personal experience, it works fine.
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Ranking
2nd
Views
26,368
Comparisons
21,596
Reviews
24
Average Words per Review
494
Rating
7.7
70th
Views
153
Comparisons
131
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
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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.

Xplenty is a data integration cloud platform that enables the integration and processing of data from over 100 data stores and SaaS applications. We offer no-code and low-code options, so you can add Xplenty to your data solution stack with ease. For advanced customization and flexibility, use our API component. You can also connect Xplenty with your existing monitoring system using our service hooks.

We use a plethora of cloud-based infrastructure components that allow us to provide you with a scalable, secure and reliable data integration service that caters to any type of workload, whether it’s processing thousands of records a day or billions of records 24/7.

Offer
Learn more about Azure Data Factory
Learn more about Xplenty
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid
GAP, Samsung, REA Group, Grofers, bexio, Brunner, Buckner, Feedvisor, Fiverr,
Top Industries
REVIEWERS
Computer Software Company36%
Insurance Company14%
Healthcare Company7%
Logistics Company7%
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider14%
Energy/Utilities Company6%
Financial Services Firm6%
No Data Available
Company Size
REVIEWERS
Small Business26%
Midsize Enterprise26%
Large Enterprise49%
VISITORS READING REVIEWS
Small Business16%
Midsize Enterprise8%
Large Enterprise76%
No Data Available
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: September 2021.
540,984 professionals have used our research since 2012.

Azure Data Factory is ranked 2nd in Data Integration Tools with 24 reviews while Xplenty is ranked 70th in Data Integration Tools. Azure Data Factory is rated 7.8, while Xplenty is rated 0.0. The top reviewer of Azure Data Factory writes "Easy to bring in outside capabilities, flexible, and works well". On the other hand, Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Talend Open Studio, Palantir Foundry and SAP Data Services, whereas Xplenty is most compared with SSIS.

See our list of best Data Integration Tools vendors.

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.