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At a Glance
Market Segments
Enterprise (46.3% of reviews)
Small-Business (50.0% of reviews)
Entry-Level Pricing
No pricing available
Contact Us Per Month
Databricks Data Intelligence Platform
Star Rating
(631)4.6 out of 5
Market Segments
Enterprise (46.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformRapidCanvas
Star Rating
(34)4.8 out of 5
Market Segments
Small-Business (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us Per Month
Learn more about RapidCanvasSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in data lineage with a score of 8.8, allowing for comprehensive tracking of data flow, while RapidCanvas offers a slightly lower score of 9.2, indicating a strong but less detailed approach to data lineage management.
- Reviewers mention that RapidCanvas shines in ease of setup with a score of 9.6, making it particularly appealing for small businesses looking for quick deployment, whereas Databricks has a score of 8.4, suggesting a more complex setup process that may require additional resources.
- G2 users highlight that RapidCanvas provides superior quality of support with a score of 9.6, which users attribute to responsive customer service and extensive documentation, compared to Databricks which has a score of 8.4, indicating room for improvement in support services.
- Users on G2 report that Databricks offers robust data integration capabilities with a score of 9.0, making it a preferred choice for enterprises needing to connect various data sources, while RapidCanvas scores slightly lower at 8.9, suggesting it may not be as versatile in integration scenarios.
- Reviewers mention that RapidCanvas excels in drag and drop functionality with a score of 9.1, which enhances user experience and accessibility, while Databricks scores 7.5, indicating that its interface may not be as intuitive for users who prefer visual data manipulation.
- Users say that RapidCanvas has a strong focus on automated workflows with a score of 8.9, which streamlines processes for small businesses, whereas Databricks has a score of 8.8, suggesting it offers automation but may not be as user-friendly for those new to data workflows.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableRapidCanvas
Pricing
Contact Us
Per Month
The Best Agentic AI Platform.
Driven to deliver mission critical business outcomes.
- Solution delivery within four weeks
- Built by world's top data scientists
- Guided by experienced network of SMEs
Free Trial
Databricks Data Intelligence Platform
Free Trial is available
RapidCanvas
Free Trial is available
Ratings
Meets Requirements
8.9
514
9.1
30
Ease of Use
8.8
523
8.7
31
Ease of Setup
8.7
396
9.1
22
Ease of Admin
8.3
169
9.3
15
Quality of Support
8.7
489
9.6
31
Has the product been a good partner in doing business?
8.8
172
9.8
15
Product Direction (% positive)
9.6
502
9.6
29
Features by Category
Reports
7.9
7
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.1
6
Not enough data
8.3
6
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
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
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
7.9
7
Not enough data
7.6
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.8
6
Not enough data
Deployment & Integration - 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
Advanced Analytics
8.3
7
Not enough data
8.3
6
Not enough data
8.6
6
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
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - 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
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Not enough data
Administration
8.8
93
Not enough data
8.6
90
Not enough data
9.0
91
Not enough data
8.7
92
Not enough data
Management
8.5
85
Not enough data
8.7
84
Not enough data
8.6
84
Not enough data
8.5
83
Not enough data
8.7
83
Not enough data
Compliance
8.8
91
Not enough data
8.7
90
Not enough data
8.9
89
Not enough data
8.7
89
Not enough data
Security
9.0
81
Not enough data
8.9
83
Not enough data
8.9
83
Not enough data
Data Quality
9.0
91
Not enough data
8.7
90
Not enough data
9.0
88
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
9.3
9
Not enough data
8.5
9
Not enough data
9.1
9
Not enough data
9.1
9
Not enough data
Management
8.6
168
Not enough data
8.5
162
Not enough data
Functionality
9.1
169
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
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
64
Not enough data
9.0
64
Not enough data
Management
8.9
61
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Not enough data
Operations
8.7
61
Not enough data
8.8
60
Not enough data
9.0
61
Not enough data
Management
8.8
60
Not enough data
8.7
59
Not enough data
9.1
58
Not enough data
Generative AI
8.3
27
Not enough data
8.3
27
Not enough data
System
8.8
175
8.9
22
Model Development
8.8
179
8.4
23
7.9
185
8.9
24
8.3
182
8.8
24
8.6
184
9.1
24
Model Development
8.5
171
9.0
21
Machine/Deep Learning Services
8.1
171
7.8
23
8.5
176
8.6
22
8.2
168
8.6
22
8.1
170
9.4
21
Machine/Deep Learning Services
8.4
156
8.5
20
8.4
158
8.8
20
Deployment
8.5
174
9.3
20
8.7
177
9.4
18
9.0
181
9.6
19
Generative AI
8.2
86
8.3
20
8.4
86
8.4
19
7.6
85
7.5
19
Agentic AI - Data Science and Machine Learning Platforms
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
Data Management
9.0
178
|
Verified
Not enough data
8.9
178
|
Verified
Not enough data
8.8
173
|
Verified
Not enough data
8.8
176
|
Verified
Not enough data
8.7
166
|
Verified
Not enough data
9.0
168
|
Verified
Not enough data
Integration
8.8
164
|
Verified
Not enough data
8.8
164
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
Deployment
7.9
153
|
Verified
Not enough data
9.1
174
|
Verified
Not enough data
Performance
9.1
174
|
Verified
Not enough data
Security
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
Data Management
9.0
66
Not enough data
8.7
65
Not enough data
8.8
66
Not enough data
9.1
63
Not enough data
Agentic AI - DataOps Platforms
8.6
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Analytics
8.8
64
Not enough data
8.4
63
Not enough data
Monitoring and Management
8.5
64
Not enough data
8.5
64
Not enough data
Cloud Deployment
9.1
60
Not enough data
9.0
61
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
Database
8.7
220
Not enough data
8.9
226
Not enough data
9.3
227
Not enough data
Integrations
8.3
209
Not enough data
9.2
229
Not enough data
Platform
9.0
222
Not enough data
8.8
225
Not enough data
9.2
229
Not enough data
Processing
9.0
221
Not enough data
9.0
220
Not enough data
Data Transformation
8.8
220
Not enough data
9.0
227
Not enough data
Connectivity
8.7
203
Not enough data
9.2
226
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
208
Not enough data
8.6
206
Not enough data
9.3
221
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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 Data Intelligence Platform and RapidCanvas are categorized as Data Science and Machine Learning Platforms
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Warehouse, and Analytics Platforms
RapidCanvas has no unique categories
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
RapidCanvas
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
14.6%
Financial Services
11.4%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.2%
Computer Software
15.6%
Information Technology and Services
12.5%
Financial Services
9.4%
Transportation/Trucking/Railroad
6.3%
Research
6.3%
Other
50.0%
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
RapidCanvas has no discussions with answers
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