Compare Databricks and TimeXtender 
At a Glance
Market Segments
Enterprise (44.6% of reviews)
Mid-Market (45.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(727)4.6 out of 5
Market Segments
Enterprise (44.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksTimeXtender
Star Rating
(155)4.3 out of 5
Market Segments
Mid-Market (45.5% 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.
- G2 reviewers report that Databricks excels in providing a comprehensive data workflow solution, with features like Genie and Lakehouse Connect that streamline data processing, analysis, and machine learning all in one platform. This integration is particularly appreciated by users who value efficiency and ease of use.
- Users say that TimeXtender offers a user-friendly experience with its intuitive drag-and-drop interface, making it easy for teams to maintain high-quality data across systems. This simplicity is a significant advantage for organizations looking for a straightforward ETL solution.
- Reviewers mention that Databricks has a strong focus on data governance, highlighted by the Unity Catalog, which enhances centralized governance and lineage tracking. This feature has been a game-changer for enterprises migrating from traditional architectures, ensuring fine-grained access control across all data.
- According to verified reviews, TimeXtender's automation capabilities are praised for saving significant time compared to manual data engineering processes. Users appreciate the clear lineage and documentation, which simplify governance and enhance overall data management.
- G2 reviewers highlight that while Databricks has a slightly steeper learning curve, its robust features and high scalability make it a preferred choice for larger enterprises. Users value the platform's ability to handle complex data workflows effectively, despite the initial setup challenges.
- Users report that TimeXtender's customer support is consistently friendly and responsive, which is a crucial factor for teams needing quick assistance. This level of support contributes to a positive user experience, especially for organizations that may require more guidance during implementation.
Pricing
Entry-Level Pricing
Databricks
No pricing availableTimeXtender
No pricing availableFree Trial
Databricks
Free Trial is available
TimeXtender
Free Trial is available
Ratings
Meets Requirements
8.9
578
8.5
131
Ease of Use
8.9
589
8.4
132
Ease of Setup
8.7
461
8.2
105
Ease of Admin
8.4
184
8.4
67
Quality of Support
8.7
553
8.9
129
Has the product been a good partner in doing business?
8.9
188
9.0
70
Product Direction (% positive)
9.6
566
8.1
129
Features by Category
Reports
8.3
12
Not enough data
7.7
10
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
9.0
15
Not enough data
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.1
9
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.5
11
Not enough data
8.1
12
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Not enough data
Building Reports
9.0
149
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
98
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
88
Not enough data
8.5
87
Not enough data
8.8
86
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
87
Not enough data
8.9
86
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Not enough data
Maintainence
8.7
85
Not enough data
8.8
84
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Not enough data
Management
8.6
171
7.4
92
8.5
164
7.5
93
Functionality
9.1
174
8.5
103
9.2
175
8.6
101
9.1
172
8.5
102
9.0
167
8.7
98
9.1
167
8.0
97
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
Not enough data
Deployment
8.9
62
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Not enough data
Management
9.0
64
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
9.0
69
Not enough data
Operations
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Not enough data
Management
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
180
Not enough data
Model Development
8.8
182
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
191
Not enough data
Model Development
8.5
172
Not enough data
Machine/Deep Learning Services
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
Not enough data
8.2
172
Not enough data
Machine/Deep Learning Services
8.4
158
Not enough data
8.4
160
Not enough data
Deployment
8.5
178
Not enough data
8.7
180
Not enough data
9.0
187
Not enough data
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Integration
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Not enough data
Deployment
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Not enough data
Performance
9.1
177
|
Verified
Not enough data
Security
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
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
Maintenance
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
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
Data Management
9.0
68
Not enough data
8.8
70
Not enough data
8.8
68
Not enough data
9.1
69
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
Not enough data
Automation
Not enough data
8.1
89
Not enough data
7.8
86
Not enough data
8.3
91
Not enough data
8.5
94
Functionality
Not enough data
7.8
87
Not enough data
8.4
93
Not enough data
7.3
84
Administration
Not enough data
7.1
94
Not enough data
7.6
91
Not enough data
7.7
89
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
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
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
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.7
237
Not enough data
8.9
244
Not enough data
9.3
259
Not enough data
Integrations
8.3
220
Not enough data
9.1
261
Not enough data
Platform
9.0
252
Not enough data
8.8
249
Not enough data
9.1
261
Not enough data
Processing
9.0
244
Not enough data
9.0
246
Not enough data
Data Transformation
8.8
226
Not enough data
9.1
233
Not enough data
Connectivity
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Not enough data
Operations
8.4
228
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
231
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
Building Reports
9.0
149
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
Not enough data
Platform
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
Categories
Categories
Shared Categories
Databricks and TimeXtender are categorized as Data Governance and ETL Tools
Unique Categories
Databricks is categorized as DataOps Platforms, MLOps Platforms, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Analytics Platforms, Data Warehouse, Database Management Systems (DBMS), Generative AI Infrastructure, AI Agent Builders, and AI Gateways
TimeXtender is categorized as Process Orchestration, Data Warehouse Automation, Master Data Management (MDM), Business Process Management, and Data Quality
Reviews
Reviewers' Company Size
Databricks
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
15.9%
Financial Services
10.4%
Computer Software
8.5%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
Information Technology and Services
18.6%
Consulting
7.6%
Computer Software
5.5%
Oil & Energy
4.8%
Automotive
4.1%
Other
59.3%
Alternatives
Discussions
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
4 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
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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