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Compare Azure Data Factory and TimeXtender 
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At a Glance
Market Segments
Enterprise (63.0% of reviews)
Mid-Market (45.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Factory
Star Rating
(87)4.6 out of 5
Market Segments
Enterprise (63.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data FactoryTimeXtender
Star Rating
(154)4.3 out of 5
Market Segments
Mid-Market (45.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about TimeXtenderSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that TimeXtender excels in its ease of use, with a score of 8.5, making it accessible for mid-market users, while Azure Data Factory, with a score of 9.0, is noted for its intuitive interface that appeals to enterprise-level users.
- Reviewers mention that TimeXtender's extraction capabilities score 8.4, which is solid, but Azure Data Factory shines with a score of 9.1, particularly praised for its robust integration with various data sources, enhancing data ingestion processes.
- G2 users highlight that TimeXtender's transformation features score 8.6, but Azure Data Factory outperforms with a score of 9.3, with users specifically noting its advanced data transformation capabilities through mapping data flows.
- Users on G2 report that TimeXtender's automation features score 8.6, which is commendable, yet Azure Data Factory's automation capabilities score 9.2, with reviewers emphasizing its seamless orchestration of data workflows.
- Reviewers mention that TimeXtender's scalability is rated at 8.1, which may limit growth for some users, while Azure Data Factory scores 9.3, with users praising its ability to handle large volumes of data efficiently as their needs expand.
- Users say that TimeXtender's quality of support is rated at 8.9, which is favorable, but Azure Data Factory's support, rated at 8.8, is noted for its extensive documentation and community resources that help users troubleshoot effectively.
Pricing
Entry-Level Pricing
Azure Data Factory
No pricing availableTimeXtender
No pricing availableFree Trial
Azure Data Factory
No trial information availableTimeXtender
Free Trial is available
Ratings
Meets Requirements
9.2
65
8.5
130
Ease of Use
8.9
66
8.4
131
Ease of Setup
9.2
31
8.2
104
Ease of Admin
8.6
23
8.3
67
Quality of Support
8.8
60
8.9
128
Has the product been a good partner in doing business?
9.3
22
9.0
70
Product Direction (% positive)
9.8
61
8.1
128
Features by Category
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compliance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintainence
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
8.4
45
7.4
93
8.4
44
7.5
93
Functionality
9.1
47
8.5
104
9.1
47
8.6
102
9.3
44
8.5
103
9.1
47
8.7
99
9.1
45
8.0
98
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Automation
Not enough data
8.0
89
Not enough data
7.8
87
Not enough data
8.3
92
Not enough data
8.5
95
Functionality
Not enough data
7.8
88
Not enough data
8.4
93
Not enough data
7.3
85
Administration
Not enough data
7.1
94
Not enough data
7.6
92
Not enough data
7.7
90
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Process Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Business Process Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Process Development
Not enough data
Not enough data
Functionality - Process Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration & Adaptability - Process Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Azure Data Factory and TimeXtender are categorized as ETL Tools
Unique Categories
Azure Data Factory is categorized as Big Data Integration Platforms
TimeXtender is categorized as Process Orchestration, Data Warehouse Automation, Data Governance, Master Data Management (MDM), Business Process Management, and Data Quality
Reviews
Reviewers' Company Size
Azure Data Factory
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
TimeXtender
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
32.9%
Computer Software
12.2%
Financial Services
6.1%
Retail
4.9%
Airlines/Aviation
4.9%
Other
39.0%
Information Technology and Services
18.1%
Consulting
7.6%
Computer Software
5.6%
Oil & Energy
4.9%
Food Production
4.2%
Other
59.7%
Alternatives
Discussions
Is Azure data Factory an ETL tool?
2 Comments
AG
yesRead more
Azure Data Factory has no more discussions with answers
What is Odx server?
2 Comments
KK
ODX (Operational Data Exchange) is a instance where you can build your data base connection, and Transfer Data From source to ODX and also it Reads the...Read more
Why use TimeXtender?
1 Comment
G2
Accelerate Azure Synapse Analytics
TimeXtender accelerates the creation, deployment and management of a complete modern data estate on Azure Synapse...Read more
TimeXtender has no more discussions with answers
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