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Compare Databricks Data Intelligence Platform and IBM Netezza Performance Server 
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At a Glance
Market Segments
Enterprise (46.5% of reviews)
Enterprise (59.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(626)4.6 out of 5
Market Segments
Enterprise (46.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformIBM Netezza Performance Server
Star Rating
(84)4.1 out of 5
Market Segments
Enterprise (59.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about IBM Netezza Performance ServerSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM Netezza Performance Server excels in Data Compression with a score of 8.8, which reviewers mention significantly enhances storage efficiency. In contrast, Databricks Data Intelligence Platform also scores 8.8 but lacks the same level of user feedback highlighting this feature.
- Reviewers mention that Databricks Data Intelligence Platform shines in Data Integration, scoring 9.0, with users praising its seamless connectivity to various data sources. IBM Netezza Performance Server, while still strong at 8.6, does not receive the same level of acclaim for integration capabilities.
- Users on G2 highlight that IBM Netezza Performance Server has a robust Built-In Data Analytics feature, scoring 9.1, which reviewers say allows for efficient in-database analytics. Databricks, with a score of 8.5, is noted for its analytics but does not match the depth of built-in capabilities.
- Reviewers mention that Databricks Data Intelligence Platform offers superior Machine Learning Services, particularly in Natural Language Processing with a score of 8.5, which users say enhances their data analysis capabilities. IBM Netezza Performance Server, while competent, does not receive the same level of praise in this area.
- Users report that IBM Netezza Performance Server provides excellent Access Control features, scoring 8.8, which reviewers say is crucial for enterprise-level security. Databricks, with a score of 8.6, is also strong but does not have the same level of user endorsement for security features.
- G2 users highlight that Databricks Data Intelligence Platform excels in Collaboration / Workflow with a score of 9.2, which reviewers mention facilitates teamwork and project management. IBM Netezza Performance Server, while functional, does not receive the same level of feedback regarding collaborative features.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableIBM Netezza Performance Server
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
IBM Netezza Performance Server
No trial information availableRatings
Meets Requirements
8.9
512
8.4
55
Ease of Use
8.8
521
8.8
53
Ease of Setup
8.6
394
8.3
23
Ease of Admin
8.3
169
8.2
24
Quality of Support
8.7
487
8.3
48
Has the product been a good partner in doing business?
8.8
172
7.9
23
Product Direction (% positive)
9.6
500
6.7
50
Features by Category
Reports
7.5
6
Not enough data
7.5
6
Not enough data
7.8
6
Not enough data
7.7
5
Not enough data
8.0
5
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
7.5
6
Not enough data
7.2
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
7.5
6
Not enough data
7.3
5
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
8.1
6
Not enough data
8.0
5
Not enough data
8.3
5
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Federation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Transformation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
8.8
92
Not enough data
8.6
89
Not enough data
9.0
90
Not enough data
8.6
91
Not enough data
Management
8.5
84
Not enough data
8.7
83
Not enough data
8.6
83
Not enough data
8.5
82
Not enough data
8.7
82
Not enough data
Compliance
8.8
90
Not enough data
8.7
89
Not enough data
8.9
88
Not enough data
8.7
88
Not enough data
Security
9.0
80
Not enough data
8.9
82
Not enough data
8.9
82
Not enough data
Data Quality
9.0
90
Not enough data
8.7
89
Not enough data
9.0
87
Not enough data
Maintainence
8.8
81
Not enough data
8.8
80
Not enough data
Generative AI
8.4
79
Not enough data
8.5
78
Not enough data
Agentic AI - Data Governance
8.8
8
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
Management
8.6
167
Not enough data
8.5
161
Not enough data
Functionality
9.1
168
Not enough data
9.2
169
Not enough data
9.1
170
Not enough data
9.0
162
Not enough data
9.1
164
Not enough data
Deployment
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
64
Not enough data
9.0
64
Not enough data
Management
8.9
61
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Not enough data
Operations
8.7
61
Not enough data
8.8
60
Not enough data
9.0
61
Not enough data
Management
8.8
60
Not enough data
8.7
59
Not enough data
9.1
58
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
179
Not enough data
7.9
185
Not enough data
8.3
182
Not enough data
8.6
184
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.1
171
Not enough data
8.5
176
Not enough data
8.2
168
Not enough data
8.1
170
Not enough data
Machine/Deep Learning Services
8.4
156
Not enough data
8.4
158
Not enough data
Deployment
8.5
174
Not enough data
8.7
177
Not enough data
9.0
181
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
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
Data Management
9.0
177
|
Verified
8.6
13
|
Verified
8.9
177
|
Verified
8.8
12
|
Verified
8.8
172
|
Verified
8.8
11
|
Verified
8.7
175
|
Verified
9.1
9
|
Verified
8.7
165
|
Verified
8.0
9
|
Verified
9.0
167
|
Verified
8.5
11
|
Verified
Integration
8.8
163
|
Verified
7.5
8
|
Verified
8.8
163
|
Verified
8.8
11
|
Verified
9.1
171
|
Verified
9.2
10
|
Verified
Deployment
7.9
152
|
Verified
8.7
9
|
Verified
9.1
173
|
Verified
8.2
11
|
Verified
Performance
9.1
173
|
Verified
8.5
9
|
Verified
Security
8.8
164
|
Verified
8.9
11
|
Verified
8.9
165
|
Verified
9.0
10
|
Verified
Generative AI
8.5
75
Not enough data
8.4
74
Not enough data
Data Management
9.0
66
Not enough data
8.7
65
Not enough data
8.8
66
Not enough data
9.1
63
Not enough data
Agentic AI - DataOps Platforms
8.6
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Analytics
8.8
64
Not enough data
8.4
63
Not enough data
Monitoring and Management
8.5
64
Not enough data
8.5
64
Not enough data
Cloud Deployment
9.1
60
Not enough data
9.0
61
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
Database
8.7
218
Not enough data
8.9
224
Not enough data
9.3
225
Not enough data
Integrations
8.3
207
Not enough data
9.2
227
Not enough data
Platform
9.0
220
Not enough data
8.8
223
Not enough data
9.2
227
Not enough data
Processing
9.0
219
Not enough data
9.0
218
Not enough data
Data Transformation
8.8
219
Not enough data
9.0
226
Not enough data
Connectivity
8.7
202
Not enough data
9.2
225
Not enough data
9.0
217
Not enough data
9.2
225
Not enough data
Operations
8.4
223
Not enough data
8.8
218
Not enough data
8.6
207
Not enough data
8.6
205
Not enough data
9.3
220
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 IBM Netezza Performance Server are categorized as Data Warehouse
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, and Analytics Platforms
IBM Netezza Performance Server is categorized as Data Virtualization
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Netezza Performance Server
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
14.7%
Financial Services
11.4%
Computer Software
8.2%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
58.1%
Information Technology and Services
19.4%
Insurance
11.9%
Banking
11.9%
Retail
7.5%
Financial Services
6.0%
Other
43.3%
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
IBM Netezza Performance Server has no discussions with answers
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