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At a Glance
Market Segments
Mid-Market (65.0% of reviews)
Mid-Market (45.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
CData Virtuality
Star Rating
(20)4.7 out of 5
Market Segments
Mid-Market (65.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about CData VirtualityTimeXtender
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 Database Management with a perfect score of 10.0, indicating robust capabilities in managing data sources effectively, while Data Virtuality, although strong, does not provide a specific score in this area.
- Reviewers mention that Data Virtuality shines in Quality of Support with a score of 9.8, highlighting their responsive customer service and helpful resources, whereas TimeXtender, while still good, has a lower score of 8.9.
- G2 users note that TimeXtender has a slightly lower score in Ease of Setup (8.3) compared to Data Virtuality (9.2), suggesting that users find Data Virtuality easier to implement and integrate into their existing systems.
- Users on G2 report that Data Virtuality offers superior Data Security features with a score of 9.7, which includes advanced encryption and compliance measures, while TimeXtender also performs well but does not match this level of security assurance.
- Reviewers say that TimeXtender's Workflow Automation capabilities score 8.0, which is decent, but Data Virtuality's higher score of 9.0 indicates a more streamlined and efficient automation process that users find beneficial for their operations.
- Users report that Data Virtuality's Real-Time Analytics capabilities are particularly impressive, allowing for immediate insights and decision-making, while TimeXtender, although functional, does not provide the same level of immediacy in analytics.
Pricing
Entry-Level Pricing
CData Virtuality
No pricing availableTimeXtender
No pricing availableFree Trial
CData Virtuality
No trial information availableTimeXtender
Free Trial is available
Ratings
Meets Requirements
9.6
18
8.5
130
Ease of Use
9.0
18
8.4
131
Ease of Setup
9.2
13
8.2
104
Ease of Admin
9.2
13
8.3
67
Quality of Support
9.8
18
8.9
128
Has the product been a good partner in doing business?
9.5
13
9.0
70
Product Direction (% positive)
10.0
18
8.1
128
Features by Category
Administration
10.0
5
Not enough data
9.0
5
Not enough data
9.7
5
Not enough data
Federation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Transformation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Not enough data
7.4
93
Not enough data
7.5
93
Functionality
Not enough data
8.5
104
Not enough data
8.6
102
Not enough data
8.5
103
Not enough data
8.7
99
Not enough data
8.0
98
Data Sourcing
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Intelligence
Feature Not Available
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
Solution Provision
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Not enough data
Not enough data
Integration
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Security
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
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
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
Reporting
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
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
CData Virtuality and TimeXtender are categorized as ETL Tools
Unique Categories
CData Virtuality is categorized as Data Replication, Data Virtualization, Big Data Integration Platforms, On-Premise Data Integration, Data Warehouse, and Customer Data Platform (CDP)
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
CData Virtuality
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
Retail
10.0%
Marketing and Advertising
10.0%
Management Consulting
10.0%
Computer Software
10.0%
Staffing and Recruiting
5.0%
Other
55.0%
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
CData Virtuality has no 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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