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Compare Databricks Data Intelligence Platform and EXASOL 
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At a Glance
Market Segments
Enterprise (46.1% of reviews)
Enterprise (50.0% 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 PlatformEXASOL
Star Rating
(19)4.7 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about EXASOLSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Databricks Data Intelligence Platform excels in its workflow management with a score of 9.3, allowing for seamless integration of data processes, while EXASOL, with a score of 8.6, is noted for its data visualization capabilities, which some users find less intuitive.
- Reviewers mention that Databricks shines in data lineage tracking, scoring 8.8, which helps users maintain a clear understanding of data flow, whereas EXASOL's score of 8.4 in data governance indicates a solid but less comprehensive approach.
- G2 users highlight that Databricks offers superior model registry features with a score of 8.9, making it easier for data scientists to manage and deploy models, while EXASOL's model development features, scoring 8.6, are seen as effective but lacking in some advanced functionalities.
- Users on G2 report that Databricks provides robust AI/ML integration capabilities with a score of 8.6, facilitating advanced analytics, while EXASOL's integration capabilities, scoring 8.5, are effective but may not support as many machine learning frameworks.
- Reviewers mention that Databricks' data integration capabilities are highly rated at 9.0, allowing for smooth connections with various data sources, whereas EXASOL, with a score of 8.9, is praised for its automated workflows but may require more manual setup for certain integrations.
- Users say that Databricks' real-time analytics features, scoring 8.5, are particularly beneficial for businesses needing immediate insights, while EXASOL's score of 9.3 in data querying indicates a strong performance in handling complex queries but may not match the immediacy of Databricks' analytics capabilities.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableEXASOL
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
EXASOL
Free Trial is available
Ratings
Meets Requirements
8.9
517
9.8
14
Ease of Use
8.8
526
9.2
14
Ease of Setup
8.7
399
8.6
7
Ease of Admin
8.3
170
9.4
6
Quality of Support
8.7
492
9.3
14
Has the product been a good partner in doing business?
8.8
173
9.8
7
Product Direction (% positive)
9.6
505
8.9
11
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
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
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
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
Data Management
9.0
180
|
Verified
9.7
6
8.9
179
|
Verified
9.2
6
8.8
173
|
Verified
8.1
6
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
9.4
6
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
10.0
6
Security
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
8.0
5
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
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
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
9.5
7
9.0
227
Not enough data
Connectivity
8.7
203
8.0
5
9.2
226
7.5
6
9.0
218
9.0
8
9.2
226
8.9
6
Operations
8.4
224
7.4
7
8.8
219
Feature Not Available
8.6
208
Feature Not Available
8.6
206
8.3
6
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 EXASOL are categorized as Big Data Analytics and Data Warehouse
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Data Science and Machine Learning Platforms, and Analytics Platforms
EXASOL 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.)
EXASOL
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%
Retail
12.5%
Internet
12.5%
Hospital & Health Care
12.5%
Financial Services
12.5%
Consumer Services
12.5%
Other
37.5%
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
Community Edition
1 Comment
Official Response from EXASOL
It is a free-to-use, one-node image of the Exasol In-Memory Database that can be installed on common virtualization solutions, including VMware, VirtualBox...Read more
Training
1 Comment
Official Response from EXASOL
As part of our online-self learning platform, Exacademy, you can get more information about Exasol and how to run our database.
Register here:...Read more
How do you use Exasol?
1 Comment
SA
We are using Exasol as a Database and we have created ETL pipeline using the Lua scripts in Exasol.
Exasol is pretty much similar than SQL server but...Read more
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