Compare Clarisights and Databricks 
At a Glance
Market Segments
Enterprise (79.4% of reviews)
Enterprise (44.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Clarisights
Star Rating
(63)4.9 out of 5
Market Segments
Enterprise (79.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about ClarisightsDatabricks
Star Rating
(724)4.6 out of 5
Market Segments
Enterprise (44.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in providing a comprehensive data workflow solution, with features like Genie and Lakehouse Connect that streamline data processing, analysis, and machine learning all in one platform. Users appreciate the integration of these tools, which reduces the need to switch between multiple applications.
- Users say Clarisights stands out for its intuitive interface and flexibility, making it easy to build visualizations and surface critical performance data. Reviewers highlight how the platform transformed their reporting processes, especially for marketing analytics, allowing teams to make data-informed decisions more effectively.
- According to verified reviews, Databricks has a higher overall satisfaction score, indicating that users feel more positively about their experience with the platform. The recent feedback emphasizes the value of Unity Catalog for centralized governance and fine-grained access control, which has been crucial for enterprise migrations.
- Reviewers mention that Clarisights offers exceptional quality of support, with many users praising the responsiveness and helpfulness of the support team. This has contributed to a smoother experience for users, particularly those transitioning from other platforms.
- G2 reviewers highlight that while Databricks has a robust feature set, some users find it challenging to configure for specific workflows, which can lead to a steeper learning curve compared to Clarisights. This is particularly noted in the context of ease of setup and administration.
- Users report that Clarisights shines in its reporting capabilities, achieving perfect scores in this area. The platform's ability to seamlessly integrate diverse data sources allows for in-depth analysis, making it a valuable tool for teams focused on performance metrics.
Pricing
Entry-Level Pricing
Clarisights
No pricing availableDatabricks
No pricing availableFree Trial
Clarisights
Free Trial is available
Databricks
Free Trial is available
Ratings
Meets Requirements
9.5
61
8.9
574
Ease of Use
9.3
62
8.9
585
Ease of Setup
9.3
48
8.7
457
Ease of Admin
9.0
14
8.3
183
Quality of Support
9.8
60
8.7
549
Has the product been a good partner in doing business?
9.5
14
8.9
187
Product Direction (% positive)
9.6
59
9.6
562
Features by Category
Reports
Not enough data
8.3
12
Not enough data
7.7
10
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.9
14
Data Preparation
Not enough data
8.9
6
Not enough data
8.8
7
Data Modeling and Blending
Not enough data
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Generative AI
Not enough data
9.1
9
Not enough data
9.2
6
Agentic AI - Analytics Platforms
Not enough data
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
Self Service
Not enough data
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
Deployment & Integration - Analytics Platforms
Not enough data
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Advanced Analytics
Not enough data
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Performance & Scalability - Analytics Platforms
Not enough data
8.8
7
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Personalized Intelligence - Analytics Platforms
Not enough data
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Building Reports
Not enough data
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
Administration
Not enough data
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
Management
Not enough data
8.4
87
Not enough data
8.6
86
Not enough data
8.6
88
Not enough data
8.5
87
Not enough data
8.8
86
Compliance
Not enough data
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Security
Not enough data
9.0
86
Not enough data
8.9
85
Not enough data
8.8
86
Data Quality
Not enough data
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Maintainence
Not enough data
8.7
85
Not enough data
8.8
83
Generative AI
Not enough data
8.4
82
Not enough data
8.5
81
Agentic AI - Data Governance
Not enough data
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
Management
10.0
24
8.6
171
9.9
24
8.5
164
Functionality
9.9
24
9.1
173
9.6
24
9.2
174
9.8
24
9.1
172
9.8
24
9.0
167
9.7
24
9.1
167
Deployment
Not enough data
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
Deployment
Not enough data
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
Management
Not enough data
9.0
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
Operations
Not enough data
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Management
Not enough data
8.8
60
Not enough data
8.7
61
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.9
180
Model Development
Not enough data
8.8
182
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
190
Model Development
Not enough data
8.5
172
Machine/Deep Learning Services
Not enough data
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
Not enough data
8.2
172
Machine/Deep Learning Services
Not enough data
8.4
158
Not enough data
8.4
160
Deployment
Not enough data
8.5
178
Not enough data
8.7
180
Not enough data
9.0
187
Generative AI
Not enough data
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
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
Data Management
Not enough data
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Integration
Not enough data
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Deployment
Not enough data
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Performance
Not enough data
9.1
177
|
Verified
Security
Not enough data
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
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
Not enough data
9.0
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
Agentic AI - DataOps Platforms
Not enough data
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Analytics
Not enough data
8.8
67
Not enough data
8.5
67
Monitoring and Management
Not enough data
8.6
67
Not enough data
8.6
68
Cloud Deployment
Not enough data
9.0
63
Not enough data
9.0
64
Generative AI
Not enough data
8.9
36
Not enough data
8.9
36
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
Marketing Operations
9.5
54
Not enough data
9.8
54
Not enough data
8.5
54
Not enough data
9.8
53
Not enough data
9.7
54
Not enough data
8.0
49
Not enough data
Campaign Activity
9.6
54
Not enough data
9.6
54
Not enough data
9.2
53
Not enough data
9.8
53
Not enough data
8.9
52
Not enough data
7.5
51
Not enough data
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
8.7
237
Not enough data
8.9
243
Not enough data
9.3
257
Integrations
Not enough data
8.3
220
Not enough data
9.1
258
Platform
Not enough data
9.0
250
Not enough data
8.8
248
Not enough data
9.1
258
Processing
Not enough data
9.0
243
Not enough data
9.0
246
Data Transformation
Not enough data
8.8
226
Not enough data
9.1
232
Connectivity
Not enough data
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Operations
Not enough data
8.4
227
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
230
Building Reports
Not enough data
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
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
Clarisights and Databricks are categorized as ETL Tools
Unique Categories
Clarisights is categorized as Marketing Analytics
Databricks is categorized as DataOps Platforms, MLOps Platforms, Data Governance, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Analytics Platforms, Data Warehouse, Database Management Systems (DBMS), Generative AI Infrastructure, AI Agent Builders, and AI Gateways
Reviews
Reviewers' Company Size
Clarisights
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks
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
Apparel & Fashion
12.7%
Consumer Goods
12.7%
Consumer Services
11.1%
Financial Services
11.1%
Food & Beverages
11.1%
Other
41.3%
Information Technology and Services
15.7%
Financial Services
10.5%
Computer Software
8.6%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
Alternatives
Discussions
Clarisights has no discussions with answers
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
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