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At a Glance
Market Segments
Enterprise (46.1% of reviews)
Mid-Market (44.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(633)4.6 out of 5
Market Segments
Enterprise (46.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformWorkato
Star Rating
(704)4.7 out of 5
Market Segments
Mid-Market (44.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about WorkatoSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Databricks Data Intelligence Platform excels in data extraction capabilities, scoring 9.1, which reviewers mention is particularly beneficial for handling large datasets efficiently. In contrast, Workato, with a score of 8.8, is noted for its integration capabilities but lacks the same level of performance in data extraction.
- Reviewers mention that Databricks shines in transformation processes, achieving a score of 9.2, which users say allows for complex data manipulations seamlessly. Workato, while scoring 8.6, is seen as more user-friendly for simpler transformations but may not handle complex scenarios as effectively.
- Users on G2 highlight the reporting features of Databricks, which scored 8.6, as robust and customizable, making it easier to generate insightful reports. In comparison, Workato's reporting capabilities, scoring 7.8, are viewed as less comprehensive, with users wishing for more advanced analytics options.
- Reviewers mention that Workato's quality of support is exceptional, scoring 9.3, with many users praising the responsiveness and helpfulness of the support team. Databricks, while scoring 8.7, has received feedback indicating that support can be slower at times, especially during peak hours.
- Users say that both platforms are scalable, but Databricks edges out with a score of 9.1, allowing enterprises to grow without significant performance drops. Workato, scoring 9.0, is also scalable but some users report limitations when scaling up integrations for larger operations.
- G2 users report that Databricks has a strong product direction, with a score of 9.6, indicating a commitment to continuous improvement and feature updates. Workato, with a score of 9.4, is also seen as forward-thinking, but some users feel that its updates are more focused on user interface enhancements rather than core functionality improvements.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableWorkato
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Workato
Free Trial is available
Ratings
Meets Requirements
8.9
517
9.1
571
Ease of Use
8.8
526
9.0
580
Ease of Setup
8.7
399
8.9
455
Ease of Admin
8.3
170
9.0
364
Quality of Support
8.7
492
9.2
562
Has the product been a good partner in doing business?
8.8
173
9.4
361
Product Direction (% positive)
9.6
505
9.5
555
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
Messenger
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Channels
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
Customers
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
Agentic AI - Conversational Marketing
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
Administration
8.8
94
Not enough data
8.7
91
Not enough data
9.0
92
Not enough data
8.7
93
Not enough data
Management
8.5
85
Not enough data
8.7
84
Not enough data
8.6
85
Not enough data
8.5
83
Not enough data
8.7
83
Not enough data
Compliance
8.8
92
Not enough data
8.7
91
Not enough data
8.9
90
Not enough data
8.7
90
Not enough data
Security
9.0
82
Not enough data
8.9
83
Not enough data
8.9
83
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
9.3
10
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
7.9
116
8.5
163
8.3
123
Functionality
9.1
170
8.9
130
9.2
170
8.7
133
9.1
171
9.0
131
9.0
163
9.1
140
9.1
165
9.0
131
Deployment
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
65
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
65
Not enough data
9.0
65
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
60
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
27
Not enough data
8.3
27
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
Management
Not enough data
8.1
25
Not enough data
8.9
24
Not enough data
9.0
25
Not enough data
8.8
25
Solution Provision
Not enough data
8.3
25
Not enough data
7.6
25
Not enough data
8.4
24
Development
Not enough data
9.4
34
Not enough data
9.5
32
Not enough data
9.7
33
Not enough data
9.4
33
Collaboration
Not enough data
9.1
32
Not enough data
9.2
32
Not enough data
9.4
32
Data Management
9.0
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
173
|
Verified
Not enough data
8.8
178
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
169
|
Verified
Not enough data
Integration
8.8
166
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
Deployment
7.9
154
|
Verified
Not enough data
9.1
175
|
Verified
Not enough data
Performance
9.1
175
|
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
Functionality
Not enough data
9.1
19
Not enough data
9.3
19
Management
Not enough data
9.4
18
Not enough data
9.2
19
Not enough data
9.4
18
Integrations
Not enough data
9.2
19
Not enough data
8.6
18
Security
Not enough data
9.2
18
Not enough data
9.0
18
Support
Not enough data
9.0
19
Development
Not enough data
9.1
267
Not enough data
8.4
175
|
Verified
Not enough data
9.0
194
|
Verified
Not enough data
8.8
206
|
Verified
Not enough data
8.5
193
|
Verified
Not enough data
9.0
187
Not enough data
8.6
163
Management
Not enough data
8.7
191
|
Verified
Not enough data
8.7
179
|
Verified
Not enough data
8.9
191
|
Verified
Not enough data
8.8
189
|
Verified
Not enough data
8.8
163
Security
Not enough data
8.8
169
|
Verified
Not enough data
9.0
175
|
Verified
Not enough data
9.0
172
|
Verified
Integration Options
Not enough data
8.7
163
|
Verified
Not enough data
8.6
164
|
Verified
Not enough data
8.1
158
|
Verified
Not enough data
7.9
143
|
Verified
Deployment
Not enough data
8.7
158
Not enough data
9.0
169
Management
Not enough data
9.2
13
Not enough data
9.4
14
Not enough data
9.2
13
Not enough data
9.2
13
Functionality
Not enough data
9.2
13
Not enough data
9.0
13
Not enough data
9.2
13
Not enough data
9.5
14
Security
Not enough data
9.3
14
Not enough data
9.4
13
Conversational 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
Support Automation
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
Data Management
9.0
66
Not enough data
8.7
66
Not enough data
8.8
67
Not enough data
9.1
64
Not enough data
Agentic AI - DataOps Platforms
8.8
7
Not enough data
8.6
6
Not enough data
9.2
6
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
65
Not enough data
8.5
65
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
Data
Not enough data
9.2
108
Development
Not enough data
9.1
113
Not enough data
8.9
110
Security
Not enough data
9.1
109
Not enough data
8.9
106
Management
Not enough data
9.0
105
Not enough data
8.6
96
Not enough data
9.3
104
Not enough data
9.1
91
Not enough data
8.8
94
Not enough data
8.9
94
Application Integration
Not enough data
9.1
90
Not enough data
9.2
93
Not enough data
9.5
93
Not enough data
9.3
92
Data Management
Not enough data
9.3
12
Not enough data
8.8
12
Not enough data
9.2
12
Not enough data
9.3
12
Not enough data
8.2
11
Functionality
Not enough data
9.1
11
Not enough data
9.9
13
Not enough data
9.7
13
Not enough data
9.6
12
Not enough data
9.3
12
Not enough data
9.2
11
Not enough data
8.8
11
Security
Not enough data
9.1
11
Not enough data
9.2
11
Generative AI
Not enough data
8.2
11
Functionality
Not enough data
8.8
14
Not enough data
9.3
14
Not enough data
9.2
14
Governance
Not enough data
9.0
14
Not enough data
9.2
14
Not enough data
9.2
14
Scalability and Performance - Generative AI Infrastructure
Not enough data
10.0
6
Not enough data
9.7
6
Not enough data
10.0
6
Cost and Efficiency - Generative AI Infrastructure
Not enough data
9.4
6
Not enough data
10.0
6
Not enough data
10.0
6
Integration and Extensibility - Generative AI Infrastructure
Not enough data
10.0
6
Not enough data
8.9
6
Not enough data
9.7
6
Security and Compliance - Generative AI Infrastructure
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
10.0
6
Usability and Support - Generative AI Infrastructure
Not enough data
10.0
6
Not enough data
10.0
6
Functionality - Process Orchestration
Not enough data
8.4
55
Not enough data
9.0
56
Not enough data
9.3
62
Not enough data
9.4
58
Not enough data
9.0
52
Integration & Adaptability - Process Orchestration
Not enough data
9.3
54
Not enough data
9.2
54
Not enough data
8.9
57
Not enough data
8.8
55
Not enough data
8.8
53
Not enough data
8.7
53
Not enough data
8.9
53
Not enough data
8.9
53
Customization - AI Agent Builders
Not enough data
9.0
14
Not enough data
9.0
14
Not enough data
9.3
12
Functionality - AI Agent Builders
Not enough data
9.1
13
Not enough data
9.0
13
Not enough data
9.1
13
Not enough data
8.7
13
Data and Analytics - AI Agent Builders
Not enough data
9.4
11
Not enough data
9.5
11
Not enough data
9.1
11
Integration - AI Agent Builders
Not enough data
9.1
13
Not enough data
9.4
11
Not enough data
9.4
12
Not enough data
9.4
13
Workflow Design & Integration - AI 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
Performance Optimization & Analytics - AI 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
Governance & Compliance Controls - AI 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
Agentic AI - Productivity Bots
Not enough data
9.4
8
Not enough data
9.3
7
Not enough data
8.6
7
Not enough data
9.0
7
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
API Construction
Not enough data
8.8
181
Not enough data
8.9
178
Not enough data
8.9
175
Not enough data
9.0
186
API Management
Not enough data
8.7
165
Not enough data
8.5
182
Not enough data
8.7
182
Not enough data
Feature Not Available
Not enough data
8.5
164
Data Integration
Not enough data
9.2
193
Not enough data
8.7
185
Not enough data
8.5
167
Database
8.7
222
Not enough data
8.9
228
Not enough data
9.3
230
Not enough data
Integrations
8.3
211
Not enough data
9.2
232
Not enough data
Platform
9.0
225
Not enough data
8.8
228
Not enough data
9.2
232
Not enough data
Processing
9.0
224
Not enough data
9.0
223
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 Workato are categorized as ETL Tools
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, Data Warehouse, and Analytics Platforms
Workato is categorized as Master Data Management (MDM), API Development, Embedded Integration Platforms, Reverse ETL, Data Replication, API Management, AI Agent Builders, API Generation, Electronic Data Interchange (EDI), Big Data Integration Platforms, iPaaS, Process Orchestration, Conversational Marketing, Conversational Support, Generative AI Infrastructure, Productivity Bots, and AI Orchestration
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Workato
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
11.3%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.4%
Computer Software
22.9%
Information Technology and Services
19.5%
Financial Services
5.7%
Retail
3.5%
Construction
3.1%
Other
45.4%
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
What is a Workato recipe?
3 Comments
GM
The recipe is Workato's main asset which houses the step-by-step integration process. In it you can build the flows and connect multiple applications.Read more
Are on-premise applications and databases supported?
2 Comments
Official Response from Workato
Yes, we support on-premise applications, databases and even your own custom application that can be connected with REST, SOAP. To connect to on-premise...Read more
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