Compare Databricks and EXASOL 
At a Glance
Market Segments
Enterprise (45.4% of reviews)
Enterprise (39.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(710)4.6 out of 5
Market Segments
Enterprise (45.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksEXASOL
Star Rating
(28)4.7 out of 5
Market Segments
Enterprise (39.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about EXASOLSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that the Databricks Data Intelligence Platform excels in scalability and cost management, particularly for large language models and generative AI applications. Users appreciate its ability to manage security and access data files across multiple cloud environments efficiently.
- Users say that EXASOL stands out for its unparalleled query performance, especially in highly analytical workloads. Reviewers highlight its in-memory, massive-parallel processing capabilities, allowing them to query billions of rows and receive results in less than a second.
- According to verified reviews, Databricks offers a more user-friendly interface with interactive notebooks that support both SQL and Python for visualization, making it easier for teams to collaborate and analyze data in one place.
- Reviewers mention that while EXASOL provides excellent performance, it requires less administrative work, which can be a significant advantage for teams looking to minimize overhead and focus on analytics rather than maintenance.
- G2 reviewers highlight that Databricks has a robust support system, with users noting timely assistance during implementation and ongoing use, which can be crucial for organizations new to cloud-based data solutions.
- Users report that while both platforms have strong data integration capabilities, EXASOL's ability to run custom-built Python, Lua, and R workloads directly in the database is a unique feature that appeals to data scientists and analysts looking for flexibility in their analytics processes.
Pricing
Entry-Level Pricing
Databricks
No pricing availableEXASOL
No pricing availableFree Trial
Databricks
Free Trial is available
EXASOL
Free Trial is available
Ratings
Meets Requirements
8.9
562
9.6
19
Ease of Use
8.9
573
9.0
20
Ease of Setup
8.7
446
8.6
13
Ease of Admin
8.3
180
9.4
9
Quality of Support
8.7
537
9.4
18
Has the product been a good partner in doing business?
8.9
184
9.7
10
Product Direction (% positive)
9.6
550
8.5
16
Features by Category
Reports
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
Not enough data
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.1
9
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
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
Not enough data
Self Service
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
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.2
10
Not enough data
8.2
11
Not enough data
9.0
12
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Not enough data
Building Reports
9.0
146
Not enough data
8.6
141
Not enough data
7.6
122
Not enough data
8.4
143
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
Not enough data
Management
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
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
86
Not enough data
8.9
85
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Not enough data
Maintainence
8.7
85
Not enough data
8.8
83
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
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
Not enough data
Management
8.6
171
Not enough data
8.5
164
Not enough data
Functionality
9.1
172
Not enough data
9.2
174
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Not enough data
Deployment
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
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
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
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
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
180
Not enough data
Model Development
8.8
182
Not enough data
7.9
187
Not enough data
8.3
185
Not enough data
8.7
189
Not enough data
Model Development
8.5
172
Not enough data
Machine/Deep Learning Services
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
Not enough data
8.2
172
Not enough data
Machine/Deep Learning Services
8.4
158
Not enough data
8.4
160
Not enough data
Deployment
8.5
178
Not enough data
8.7
180
Not enough data
9.0
187
Not enough data
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Not enough data
Data Management
9.0
185
|
Verified
9.8
8
8.9
180
|
Verified
9.3
7
8.9
179
|
Verified
8.3
7
8.8
180
|
Verified
10.0
5
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Integration
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
9.7
10
9.1
174
|
Verified
9.0
5
Deployment
7.9
156
|
Verified
10.0
6
9.1
178
|
Verified
9.0
5
Performance
9.1
177
|
Verified
10.0
7
Security
8.8
168
|
Verified
9.7
5
8.9
168
|
Verified
8.6
7
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
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
9.0
67
Not enough data
8.7
68
Not enough data
8.8
67
Not enough data
9.1
67
Not enough data
Agentic AI - DataOps Platforms
9.0
8
Not enough data
8.6
6
Not enough data
8.8
8
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
Analytics
8.8
66
Not enough data
8.5
66
Not enough data
Monitoring and Management
8.6
66
Not enough data
8.6
67
Not enough data
Cloud Deployment
9.1
62
Not enough data
9.0
63
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
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
8.7
235
Not enough data
8.9
242
Not enough data
9.3
255
Not enough data
Integrations
8.3
219
Not enough data
9.2
254
Not enough data
Platform
9.0
244
Not enough data
8.8
244
Not enough data
9.2
254
Not enough data
Processing
9.0
240
Not enough data
9.0
239
Not enough data
Data Transformation
8.8
226
9.6
8
9.1
232
10.0
7
Connectivity
8.7
206
8.3
6
9.2
230
7.9
7
9.0
220
9.2
10
9.2
230
9.0
7
Operations
8.4
227
7.7
8
8.8
224
Feature Not Available
8.6
212
Feature Not Available
8.6
209
8.6
7
9.3
229
Not enough data
Building Reports
9.0
146
Not enough data
8.6
141
Not enough data
7.6
122
Not enough data
8.4
143
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 and EXASOL are categorized as Big Data Analytics and Data Warehouse
Unique Categories
EXASOL has no unique categories
Reviews
Reviewers' Company Size
Databricks
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
15.2%
Financial Services
10.7%
Computer Software
8.6%
Consulting
3.8%
Hospital & Health Care
3.8%
Other
58.0%
Financial Services
13.6%
Retail
9.1%
Internet
9.1%
Information Technology and Services
9.1%
Hospital & Health Care
9.1%
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?
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
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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