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- Databricks Data Intelligence Platform-vs-Upsolver
Compare Databricks Data Intelligence Platform and Upsolver 
At a Glance
Market Segments
Enterprise (46.9% of reviews)
Mid-Market (46.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(608)4.6 out of 5
Market Segments
Enterprise (46.9% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformUpsolver
Star Rating
(13)4.6 out of 5
Market Segments
Mid-Market (46.2% of reviews)
Entry-Level Pricing
No pricing available
Learn more about UpsolverSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Databricks Data Intelligence Platform excels in real-time processing capabilities, with a score of 8.4, while Upsolver also performs well but slightly lags behind with a score of 8.5. Reviewers mention that Databricks' ability to handle streaming data efficiently is a significant advantage for enterprises needing immediate insights.
- Reviewers mention that Upsolver shines in ease of setup, scoring 9.3 compared to Databricks' 8.4. Users on G2 appreciate how quickly they can get started with Upsolver, highlighting its user-friendly interface and straightforward onboarding process.
- G2 users report that Databricks offers superior data modeling features, scoring 8.0, which allows for complex data transformations and analytics. In contrast, Upsolver's data modeling capabilities are rated lower, with users noting that while functional, they lack some of the advanced features found in Databricks.
- Users say that the quality of support for Upsolver is notably high, with a score of 9.2, which is higher than Databricks' 8.4. Reviewers mention that Upsolver's customer service is responsive and helpful, making it easier for users to resolve issues quickly.
- Reviewers mention that Databricks has a strong focus on AI/ML integration, scoring 8.6, which is a key feature for organizations looking to leverage machine learning in their data workflows. Upsolver, while capable, does not emphasize AI/ML integration to the same extent, leading some users to feel it lacks in this area.
- Users on G2 report that both platforms have robust data governance features, but Databricks scores slightly higher at 9.1 compared to Upsolver's 9.2. Reviewers mention that Databricks provides comprehensive tools for data lineage and auditing, which are crucial for compliance in enterprise environments.
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Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableUpsolver
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Upsolver
Free Trial is available
Ratings
Meets Requirements
8.9
494
8.5
10
Ease of Use
8.8
503
8.8
10
Ease of Setup
8.7
376
9.3
9
Ease of Admin
8.3
162
8.7
9
Quality of Support
8.7
469
9.2
10
Has the product been a good partner in doing business?
8.8
165
9.8
8
Product Direction (% positive)
9.6
483
8.3
7
Features by Category
Data Source Access
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Interaction
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
Not enough data
Not enough data
Data Exporting
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
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
Analytics
Not enough data
Not enough data
Administration
8.7
83
Not enough data
8.6
80
Not enough data
9.0
81
Not enough data
8.6
82
Not enough data
Management
8.4
75
Not enough data
8.6
74
Not enough data
8.6
74
Not enough data
8.4
74
Not enough data
8.7
74
Not enough data
Compliance
8.8
81
Not enough data
8.6
80
Not enough data
8.9
79
Not enough data
8.7
79
Not enough data
Security
9.0
72
Not enough data
8.9
74
Not enough data
8.8
74
Not enough data
Data Quality
8.9
81
Not enough data
8.7
80
Not enough data
9.0
78
Not enough data
Maintainence
8.8
73
Not enough data
8.8
72
Not enough data
Generative AI
8.5
71
Not enough data
8.5
70
Not enough data
Agentic AI - Data Governance
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
Management
8.6
161
Not enough data
8.5
155
Not enough data
Functionality
9.1
162
Not enough data
9.2
163
Not enough data
9.1
164
Not enough data
9.0
156
Not enough data
9.1
158
Not enough data
Deployment
8.9
61
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
Deployment
8.9
60
Not enough data
8.8
61
Not enough data
8.6
64
Not enough data
8.9
63
Not enough data
9.0
63
Not enough data
Management
8.9
59
Not enough data
8.8
61
Not enough data
9.2
57
Not enough data
9.0
65
Not enough data
Operations
8.7
60
Not enough data
8.8
59
Not enough data
9.0
60
Not enough data
Management
8.8
59
Not enough data
8.7
58
Not enough data
9.1
57
Not enough data
Generative AI
8.3
26
Not enough data
8.3
26
Not enough data
System
8.8
168
Not enough data
8.7
163
Not enough data
8.1
164
Not enough data
Model Development
8.7
171
Not enough data
7.9
177
Not enough data
8.3
174
Not enough data
8.6
176
Not enough data
Model Development
8.4
162
Not enough data
8.7
166
Not enough data
8.5
164
Not enough data
Machine/Deep Learning Services
8.1
163
Not enough data
8.5
168
Not enough data
8.2
160
Not enough data
8.2
162
Not enough data
Machine/Deep Learning Services
8.2
151
Not enough data
8.4
149
Not enough data
8.4
149
Not enough data
8.5
151
Not enough data
Deployment
8.5
166
Not enough data
8.7
169
Not enough data
9.0
173
Not enough data
Deployment
8.5
156
Not enough data
8.7
162
Not enough data
8.8
160
Not enough data
Generative AI
8.3
80
Not enough data
8.5
80
Not enough data
7.6
79
Not enough data
Agentic AI - Data Science and Machine Learning 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
Data Management
9.0
171
|
Verified
Not enough data
8.9
170
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
8.6
158
|
Verified
Not enough data
9.0
160
|
Verified
Not enough data
Integration
8.8
156
|
Verified
Not enough data
8.8
156
|
Verified
Not enough data
9.0
164
|
Verified
Not enough data
Deployment
7.8
145
|
Verified
Not enough data
9.1
166
|
Verified
Not enough data
Performance
9.1
166
|
Verified
Not enough data
Security
8.8
157
|
Verified
Not enough data
8.9
158
|
Verified
Not enough data
Generative AI
8.5
68
Not enough data
8.4
67
Not enough data
Data Management
9.0
60
Not enough data
8.6
59
Not enough data
8.7
60
Not enough data
9.1
57
Not enough data
Agentic AI - DataOps 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
Analytics
8.9
58
Not enough data
8.5
57
Not enough data
Monitoring and Management
8.6
58
Not enough data
8.4
58
Not enough data
Cloud Deployment
9.1
54
Not enough data
9.0
55
Not enough data
Generative AI
8.9
29
Not enough data
9.0
29
Not enough data
Database
8.7
202
Not enough data
8.9
208
Not enough data
9.3
209
Not enough data
Integrations
8.2
191
Feature Not Available
9.2
211
Feature Not Available
Platform
9.0
204
Not enough data
8.8
207
Not enough data
9.2
211
Feature Not Available
Processing
9.0
204
Not enough data
9.0
203
Not enough data
Data Transformation
8.8
210
Not enough data
9.0
217
Not enough data
Connectivity
8.6
193
Not enough data
9.2
216
Not enough data
9.0
208
Not enough data
9.2
216
Not enough data
Operations
8.4
214
Not enough data
8.8
209
Not enough data
8.6
198
Not enough data
8.6
196
Not enough data
9.3
211
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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 Upsolver are categorized as Big Data Processing and Distribution
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Data Governance
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Upsolver
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
11.8%
Computer Software
7.7%
Consulting
4.0%
Hospital & Health Care
3.9%
Other
58.0%
Internet
23.1%
Computer Software
23.1%
Marketing and Advertising
15.4%
Telecommunications
7.7%
Retail
7.7%
Other
23.1%
Most Helpful Reviews
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Verified User in Airlines/Aviation
Too many customizations are needed to achieve the right mix of parameterization for optimal performance. On the other hand, snowflake provides lots of features out of the box without the developer worrying about these things.
Upsolver
Most Helpful Favorable Review
Boaz G.
Verified User in Marketing and Advertising
We have evaluated Upsolver for replacing an existing batch-based MPP Analytics pipeline. The main reasons we eventually decided to go with Upsolver for, are: 1. Fast Time-To-Market - implementation time of production-grade solution goes down to a fraction...
Most Helpful Critical Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Boaz G.
Verified User in Marketing and Advertising
We have evaluated Upsolver for replacing an existing batch-based MPP Analytics pipeline. The main reasons we eventually decided to go with Upsolver for, are: 1. Fast Time-To-Market - implementation time of production-grade solution goes down to a fraction...
Verified User in Airlines/Aviation
Too many customizations are needed to achieve the right mix of parameterization for optimal performance. On the other hand, snowflake provides lots of features out of the box without the developer worrying about these things.
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
Upsolver has no discussions with answers
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