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At a Glance
Market Segments
Enterprise (46.0% of reviews)
Mid-Market (60.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(634)4.6 out of 5
Market Segments
Enterprise (46.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformZap Data Hub
Star Rating
(45)4.3 out of 5
Market Segments
Mid-Market (60.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Zap Data HubSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Zap Data Hub excels in Data Integration with a score of 9.0, making it a preferred choice for mid-market companies looking for seamless data connectivity. In contrast, Databricks Data Intelligence Platform, while still strong at 8.9, is noted for its Metadata management capabilities, which scored 8.2, indicating a more enterprise-focused approach.
- Reviewers mention that Zap Data Hub's Workflow Management feature shines with a score of 9.3, allowing users to automate processes effectively. Databricks, however, has a slightly lower score of 8.6 in Data Workflow, suggesting that while it offers good functionality, it may not be as robust in automating workflows.
- G2 users highlight that Zap Data Hub's Quality of Support is rated at 8.7, with many reviewers appreciating the responsiveness and helpfulness of the support team. In comparison, Databricks has a score of 8.4, which, while still positive, indicates that users may experience slightly less satisfaction with support services.
- Users on G2 report that Zap Data Hub's Ease of Use is rated at 8.0, making it accessible for teams without extensive technical expertise. Databricks, with a higher score of 8.7, is praised for its user-friendly interface, which is particularly beneficial for data scientists and analysts.
- Reviewers mention that Zap Data Hub's Dashboards and Visualizations score of 8.4 is appreciated for its intuitive design, allowing users to create insightful reports easily. Databricks, however, has a slightly lower score of 8.3, indicating that while it offers good visualization tools, users may find Zap Data Hub's options more straightforward.
- Users say that Zap Data Hub's Data Lineage feature, rated at 8.8, is crucial for tracking data flow and ensuring compliance, which is a significant advantage for organizations focused on data governance. Databricks, with a score of 9.2 in Data Governance, excels in compliance management but may not provide the same level of visibility into data lineage.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableZap Data Hub
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Zap Data Hub
Free Trial is available
Ratings
Meets Requirements
8.9
518
8.4
38
Ease of Use
8.8
527
8.0
38
Ease of Setup
8.7
400
8.1
31
Ease of Admin
8.3
171
8.8
30
Quality of Support
8.7
493
8.8
36
Has the product been a good partner in doing business?
8.8
174
8.9
30
Product Direction (% positive)
9.6
506
8.5
38
Features by Category
Reports
8.1
8
8.5
31
7.9
7
7.6
28
8.3
8
8.0
29
8.1
7
8.4
26
8.6
7
8.5
29
Self Service
7.7
8
8.1
30
7.9
8
8.4
30
8.5
8
8.3
29
8.1
8
7.3
29
8.1
8
6.9
26
7.8
6
7.4
25
Advanced Analytics
8.5
8
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
Building Reports
8.9
136
8.7
25
8.6
137
8.5
24
7.6
122
8.1
23
8.3
136
7.9
15
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
Reports
8.1
8
8.5
31
7.9
7
7.6
28
8.3
8
8.0
29
8.1
7
8.4
26
8.6
7
8.5
29
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
9.7
5
Not enough data
9.0
5
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 - Analytics Platforms
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
Self Service
7.7
8
8.1
30
7.9
8
8.4
30
8.5
8
8.3
29
8.1
8
7.3
29
8.1
8
6.9
26
7.8
6
7.4
25
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
9.7
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
8.5
8
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
9.7
5
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
Building Reports
8.9
136
8.7
25
8.6
137
8.5
24
7.6
122
8.1
23
8.3
136
7.9
15
Reports
8.1
8
8.5
31
7.9
7
7.6
28
8.3
8
8.0
29
8.1
7
8.4
26
8.6
7
8.5
29
Self Service
7.7
8
8.1
30
7.9
8
8.4
30
8.5
8
8.3
29
8.1
8
7.3
29
8.1
8
6.9
26
7.8
6
7.4
25
Building Reports
8.9
136
8.7
25
8.6
137
8.5
24
7.6
122
8.1
23
8.3
136
7.9
15
Administration
8.8
94
Not enough data
8.7
91
Not enough data
9.0
92
Not enough data
8.7
94
Not enough data
Management
8.5
85
Not enough data
8.7
84
Not enough data
8.6
85
Not enough data
8.5
84
Not enough data
8.7
83
Not enough data
Compliance
8.8
93
Not enough data
8.7
91
Not enough data
8.9
90
Not enough data
8.7
91
Not enough data
Security
9.0
82
Not enough data
8.9
83
Not enough data
8.8
84
Not enough data
Data Quality
9.0
92
Not enough data
8.8
91
Not enough data
9.0
89
Not enough data
Maintainence
8.8
82
Not enough data
8.8
81
Not enough data
Generative AI
8.4
80
Not enough data
8.5
79
Not enough data
Agentic AI - Data Governance
8.9
9
Not enough data
9.1
9
Not enough data
9.2
11
Not enough data
8.7
10
Not enough data
9.2
10
Not enough data
9.2
10
Not enough data
Management
8.6
169
Not enough data
8.5
163
Not enough data
Functionality
9.1
170
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Not enough data
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
66
Not enough data
Deployment
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
Not enough data
Management
9.0
62
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Not enough data
Operations
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Not enough data
Management
8.8
60
Not enough data
8.7
60
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.8
175
Not enough data
Model Development
8.8
180
Not enough data
8.0
186
Not enough data
8.3
183
Not enough data
8.6
185
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.1
172
Not enough data
8.5
177
Not enough data
8.2
168
Not enough data
8.2
171
Not enough data
Machine/Deep Learning Services
8.4
156
Not enough data
8.4
159
Not enough data
Deployment
8.5
175
Not enough data
8.7
178
Not enough data
9.0
182
Not enough data
Generative AI
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.3
7
Not enough data
8.6
6
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
9.3
7
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
180
|
Verified
8.8
12
|
Verified
8.9
179
|
Verified
7.8
12
|
Verified
8.8
173
|
Verified
7.6
11
|
Verified
8.8
178
|
Verified
7.6
11
|
Verified
8.7
167
|
Verified
6.1
9
|
Verified
9.1
169
|
Verified
6.7
9
|
Verified
Integration
8.8
166
|
Verified
4.5
10
|
Verified
8.8
165
|
Verified
6.8
10
|
Verified
9.1
172
|
Verified
Feature Not Available
Deployment
7.9
154
|
Verified
7.3
11
|
Verified
9.1
175
|
Verified
8.0
10
|
Verified
Performance
9.1
175
|
Verified
8.3
11
|
Verified
Security
8.8
165
|
Verified
7.6
11
|
Verified
8.9
166
|
Verified
7.7
11
|
Verified
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
Data Management
9.0
66
Not enough data
8.7
66
Not enough data
8.8
67
Not enough data
9.1
65
Not enough data
Agentic AI - DataOps Platforms
8.8
7
Not enough data
8.6
6
Not enough data
9.0
7
Not enough data
8.6
6
Not enough data
9.3
7
Not enough data
Analytics
8.8
65
Not enough data
8.5
64
Not enough data
Monitoring and Management
8.6
66
Not enough data
8.6
66
Not enough data
Cloud Deployment
9.1
61
Not enough data
9.0
62
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
Automation
Not enough data
6.7
6
Not enough data
6.7
6
Not enough data
7.5
6
Not enough data
7.8
6
Functionality
Not enough data
6.4
6
Not enough data
7.8
6
Not enough data
7.2
6
Administration
Not enough data
6.7
6
Not enough data
5.6
6
Not enough data
6.7
6
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Database
8.7
222
Not enough data
8.9
228
Not enough data
9.3
231
Not enough data
Integrations
8.3
212
Not enough data
9.2
233
Not enough data
Platform
9.0
225
Not enough data
8.8
229
Not enough data
9.2
233
Not enough data
Processing
9.0
225
Not enough data
9.0
223
Not enough data
Data Transformation
8.8
221
Not enough data
9.0
228
Not enough data
Connectivity
8.7
204
Not enough data
9.2
227
Not enough data
9.0
218
Not enough data
9.2
226
Not enough data
Operations
8.4
224
Not enough data
8.8
219
Not enough data
8.6
209
Not enough data
8.6
207
Not enough data
9.3
222
Not enough data
Building Reports
8.9
136
8.7
25
8.6
137
8.5
24
7.6
122
8.1
23
8.3
136
7.9
15
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 Data Intelligence Platform and Zap Data Hub are categorized as ETL Tools and Data Warehouse
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, and Analytics Platforms
Zap Data Hub is categorized as Embedded Business Intelligence and Data Warehouse Automation
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Zap Data Hub
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
14.7%
Financial Services
11.3%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.3%
Oil & Energy
14.0%
Consumer Goods
11.6%
Computer Software
9.3%
Manufacturing
7.0%
Food Production
7.0%
Other
51.2%
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?
3 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
Zap Data Hub has no discussions with answers
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