Compare 5X and Databricks 
At a Glance
Market Segments
Mid-Market (55.6% of reviews)
Enterprise (45.1% of reviews)
Entry-Level Pricing
Free
No pricing available
5X
Star Rating
(81)4.9 out of 5
Market Segments
Mid-Market (55.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 3 pricing plansDatabricks
Star Rating
(718)4.6 out of 5
Market Segments
Enterprise (45.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that the Databricks Data Intelligence Platform excels in overall user satisfaction, boasting a significantly higher G2 Score compared to 5X. Users appreciate its capabilities for scaling large language models and managing data across multiple cloud environments, which enhances their operational efficiency.
- Users say that while 5X has a user-friendly interface and has effectively improved data consolidation and dashboard building, it falls short in overall performance ratings. Reviewers highlight that Databricks offers a more robust solution for complex data tasks, particularly with its interactive notebooks that support SQL and Python for visualization.
- According to verified reviews, the implementation process for Databricks is praised for its intuitive onboarding, which helps users get started quickly. In contrast, some users of 5X have noted challenges in setup, despite its overall ease of use.
- Reviewers mention that Databricks provides strong support, particularly for users new to autoscaling, which has helped reduce cloud resource costs. Meanwhile, 5X users commend the responsiveness of their support team, but some feel that the depth of assistance could be improved for more complex issues.
- Users highlight that Databricks offers advanced features like automated workflows and data integration capabilities, which are essential for modern data operations. On the other hand, while 5X also provides solid automation features, it lacks the same level of sophistication and scalability that Databricks users have come to expect.
- G2 reviewers note that Databricks has a larger volume of reviews, indicating a more established presence in the market. This extensive feedback allows potential users to gauge its effectiveness more reliably, whereas 5X, despite its positive reviews, has a smaller user base, which may limit the insights available for prospective buyers.
Pricing
Entry-Level Pricing
5X
Free Forever
Free
Get started with essential features for free, No credit card required
- 0.5 million rows / month
- 1 developer seat
- 15 warehouse hours/month
Databricks
No pricing availableFree Trial
5X
Free Trial is available
Databricks
Free Trial is available
Ratings
Meets Requirements
9.5
78
8.9
567
Ease of Use
9.5
80
8.9
578
Ease of Setup
9.6
79
8.7
450
Ease of Admin
9.6
38
8.3
181
Quality of Support
9.8
79
8.7
542
Has the product been a good partner in doing business?
9.8
40
8.9
185
Product Direction (% positive)
10.0
79
9.6
555
Features by Category
Reports
Not enough data
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.9
14
Data Preparation
Not enough data
8.9
6
Not enough data
8.8
7
Data Modeling and Blending
Not enough data
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Generative AI
Not enough data
9.1
9
Not enough data
9.2
6
Agentic AI - Analytics Platforms
Not enough data
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
Self Service
Not enough data
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
Deployment & Integration - Analytics Platforms
Not enough data
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Advanced Analytics
Not enough data
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Performance & Scalability - Analytics Platforms
Not enough data
8.8
7
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Personalized Intelligence - Analytics Platforms
Not enough data
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Building Reports
Not enough data
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
Administration
Not enough data
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
Management
Not enough data
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.8
86
Compliance
Not enough data
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Security
Not enough data
9.0
86
Not enough data
8.9
85
Not enough data
8.8
86
Data Quality
Not enough data
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Maintainence
Not enough data
8.7
85
Not enough data
8.8
83
Generative AI
Not enough data
8.4
82
Not enough data
8.5
81
Agentic AI - Data Governance
Not enough data
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
Management
9.4
66
8.6
171
9.4
66
8.5
164
Functionality
9.5
66
9.1
172
9.5
66
9.2
174
9.6
66
9.1
172
9.5
66
9.0
167
9.5
66
9.1
167
Deployment
Not enough data
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
Deployment
Not enough data
8.9
61
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Management
Not enough data
9.0
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
Operations
Not enough data
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Management
Not enough data
8.8
60
Not enough data
8.7
61
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.9
180
Model Development
Not enough data
8.8
182
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
190
Model Development
Not enough data
8.5
172
Machine/Deep Learning Services
Not enough data
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
Not enough data
8.2
172
Machine/Deep Learning Services
Not enough data
8.4
158
Not enough data
8.4
160
Deployment
Not enough data
8.5
178
Not enough data
8.7
180
Not enough data
9.0
187
Generative AI
Not enough data
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
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
Data Management
Not enough data
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
Integration
Not enough data
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Deployment
Not enough data
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Performance
Not enough data
9.1
177
|
Verified
Security
Not enough data
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
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
Data Management
9.8
63
9.0
68
9.0
63
8.7
69
9.4
63
8.8
68
9.4
63
9.1
68
Agentic AI - DataOps Platforms
9.2
8
9.1
9
9.2
8
8.8
7
9.5
7
8.9
9
9.8
8
9.0
8
9.6
8
9.4
8
Analytics
9.4
62
8.8
67
9.2
60
8.5
67
Monitoring and Management
9.1
62
8.6
67
9.0
60
8.6
68
Cloud Deployment
9.1
61
9.0
63
9.4
59
9.0
64
Generative AI
Feature Not Available
8.9
36
Feature Not Available
8.9
36
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
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
Not enough data
8.7
236
Not enough data
8.9
243
Not enough data
9.3
256
Integrations
Not enough data
8.3
220
Not enough data
9.1
256
Platform
Not enough data
9.0
246
Not enough data
8.8
246
Not enough data
9.1
256
Processing
Not enough data
9.0
242
Not enough data
9.0
242
Data Transformation
Not enough data
8.8
226
Not enough data
9.1
232
Connectivity
Not enough data
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Operations
Not enough data
8.4
227
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
229
Building Reports
Not enough data
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
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
5X and Databricks are categorized as ETL Tools and DataOps Platforms
Unique Categories
5X is categorized as Big Data Integration Platforms
Databricks is categorized as MLOps Platforms, Data Governance, 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
Reviews
Reviewers' Company Size
5X
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks
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
Computer Software
22.2%
Financial Services
13.6%
Information Technology and Services
9.9%
Real Estate
7.4%
Retail
6.2%
Other
40.7%
Information Technology and Services
15.4%
Financial Services
10.6%
Computer Software
8.5%
Consulting
3.7%
Hospital & Health Care
3.7%
Other
57.9%
Alternatives
Discussions
5X has no discussions with answers
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
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