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Compare IBM Netezza Performance Server and SAP HANA Cloud 
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At a Glance
Market Segments
Enterprise (59.7% of reviews)
Enterprise (63.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM Netezza Performance Server
Star Rating
(84)4.1 out of 5
Market Segments
Enterprise (59.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Netezza Performance ServerSAP HANA Cloud
Star Rating
(570)4.3 out of 5
Market Segments
Enterprise (63.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAP HANA CloudSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM Netezza Performance Server excels in Ease of Use with a score of 8.8, while SAP HANA Cloud has a slightly lower score of 8.1. Reviewers mention that the intuitive interface of Netezza makes it easier for teams to adopt and utilize effectively.
- Reviewers mention that SAP HANA Cloud shines in Graphs and Charts with a score of 9.0 compared to Netezza's 8.6. Users on G2 appreciate the advanced visualization capabilities in HANA, which enhance data storytelling and insights.
- G2 users highlight that IBM Netezza Performance Server has a superior Data Compression feature, scoring 8.8, which allows for efficient storage management. In contrast, SAP HANA Cloud's data compression capabilities are perceived as less effective, impacting overall performance.
- Users say that SAP HANA Cloud outperforms in Data Governance with a score of 8.9, while Netezza scores 8.3. Reviewers mention that HANA's robust governance features provide better compliance and security for sensitive data.
- Reviewers mention that IBM Netezza Performance Server has a strong Quality of Support rating of 8.3, which users appreciate for timely assistance. In comparison, SAP HANA Cloud's support is rated at 8.0, indicating room for improvement in customer service responsiveness.
- Users report that SAP HANA Cloud excels in Data Lake Integration with a score of 9.2, making it a preferred choice for organizations looking to leverage big data. In contrast, Netezza's integration capabilities are seen as less comprehensive, which may limit its effectiveness in complex data environments.
Pricing
Entry-Level Pricing
IBM Netezza Performance Server
No pricing availableSAP HANA Cloud
No pricing availableFree Trial
IBM Netezza Performance Server
No trial information availableSAP HANA Cloud
No trial information availableRatings
Meets Requirements
8.4
55
8.7
351
Ease of Use
8.8
53
8.1
361
Ease of Setup
8.3
23
7.8
246
Ease of Admin
8.2
24
7.9
197
Quality of Support
8.3
48
8.1
335
Has the product been a good partner in doing business?
7.9
23
8.5
193
Product Direction (% positive)
6.7
50
8.6
318
Features by Category
Reports
Not enough data
8.5
30
Not enough data
8.4
29
Not enough data
8.9
29
Not enough data
8.6
26
Not enough data
9.0
29
Self Service
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
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Reports
Not enough data
8.5
30
Not enough data
8.4
29
Not enough data
8.9
29
Not enough data
8.6
26
Not enough data
9.0
29
Reports
Not enough data
8.6
22
Not enough data
8.5
22
Not enough data
8.0
22
Generative AI
Not enough data
6.2
19
Not enough data
6.2
19
Visualization
Not enough data
8.7
22
Not enough data
8.1
22
Not enough data
9.0
21
Not enough data
8.4
21
Data Updates
Not enough data
8.3
22
Not enough data
8.7
22
Collaboration
Not enough data
8.2
22
Not enough data
8.0
22
Not enough data
8.3
22
Data Updates
Not enough data
8.9
25
Not enough data
8.9
26
Not enough data
8.1
25
Cartography
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
8.8
83
Not enough data
8.7
79
Not enough data
8.6
81
Federation
Not enough data
8.6
76
Not enough data
8.5
75
Not enough data
8.4
74
Not enough data
8.7
77
Transformation
Not enough data
8.7
82
Not enough data
8.8
84
Not enough data
8.7
82
Deployment
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
Deployment
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
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
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
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
Not enough data
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
8.6
13
|
Verified
Not enough data
8.8
12
|
Verified
Not enough data
8.8
11
|
Verified
Not enough data
9.1
9
|
Verified
Not enough data
8.0
9
|
Verified
Not enough data
8.5
11
|
Verified
Not enough data
Integration
7.5
8
|
Verified
Not enough data
8.8
11
|
Verified
Not enough data
9.2
10
|
Verified
Not enough data
Deployment
8.7
9
|
Verified
Not enough data
8.2
11
|
Verified
Not enough data
Performance
8.5
9
|
Verified
Not enough data
Security
8.9
11
|
Verified
Not enough data
9.0
10
|
Verified
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
8.7
20
Not enough data
8.8
20
Not enough data
9.0
19
Not enough data
8.8
20
Not enough data
8.9
19
Maintenance
Not enough data
8.5
20
Not enough data
8.9
20
Not enough data
8.6
20
Security
Not enough data
8.8
20
Not enough data
8.6
20
Management
Not enough data
8.5
85
Not enough data
8.4
84
Not enough data
8.4
80
Not enough data
8.6
84
Support
Not enough data
8.3
84
Not enough data
8.6
85
Not enough data
8.3
86
Not enough data
Feature Not Available
Security
Not enough data
8.8
82
Not enough data
8.6
82
Not enough data
8.7
82
Not enough data
8.8
84
Performance
Not enough data
8.7
81
Not enough data
8.7
80
Not enough data
8.6
80
Not enough data
8.7
78
Not enough data
Feature Not Available
Database Features
Not enough data
8.7
210
Not enough data
8.6
212
Not enough data
8.5
213
Not enough data
8.6
211
Not enough data
8.7
211
Not enough data
8.2
202
Not enough data
8.3
197
Setup
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
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
Customization
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
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
8.2
10
Not enough data
8.2
10
Not enough data
8.8
10
Data Analysis
Not enough data
8.8
10
Not enough data
8.5
8
Decision Making
Not enough data
8.1
9
Not enough data
9.4
9
Not enough data
9.3
9
Not enough data
9.3
9
Generative AI
Not enough data
6.9
9
Not enough data
7.2
9
Configuration
Not enough data
8.7
82
Not enough data
8.5
78
Not enough data
8.7
80
Not enough data
8.2
74
Not enough data
8.7
77
Database Administration
Not enough data
8.5
78
Not enough data
8.3
77
Not enough data
8.4
78
Availability
Not enough data
8.7
80
Not enough data
8.5
78
Not enough data
8.6
76
Not enough data
8.6
75
Security
Not enough data
8.7
69
Not enough data
8.6
72
Not enough data
8.6
72
Data Management
Not enough data
8.6
74
Not enough data
8.6
73
Categories
Categories
Shared Categories
IBM Netezza Performance Server and SAP HANA Cloud are categorized as Data Virtualization
Unique Categories
IBM Netezza Performance Server is categorized as Data Warehouse
SAP HANA Cloud is categorized as Database as a Service (DBaaS), Relational Databases, Database Management Systems (DBMS), Data Visualization, Location Intelligence, Predictive Analytics, Text Analysis, Time Series Intelligence, MLOps Platforms, Data Science and Machine Learning Platforms, and Machine Learning
Reviews
Reviewers' Company Size
IBM Netezza Performance Server
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAP HANA Cloud
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
19.4%
Insurance
11.9%
Banking
11.9%
Retail
7.5%
Financial Services
6.0%
Other
43.3%
Information Technology and Services
19.9%
Computer Software
8.1%
Retail
4.5%
Accounting
4.3%
Oil & Energy
3.9%
Other
59.3%
Alternatives
Discussions
IBM Netezza Performance Server has no discussions with answers
SAP HANA Vs Oracle
2 Comments
PB
HANA is in-memory database delivered with its appliance, can compress the data at its optimized size which helps to lower the size of DB to be used in...Read more
How is SAP HANA makes data processing and transactions very fast
2 Comments
SN
by minimizing the no. of business process steps by 30 to 40%Read more
HANA What is Next
1 Comment
PB
HANA what is next ?question is tricky, see HANA is a in memory DB with its certified appliance, a strong DB fighting against the traditional DBs like Oracle,...Read more
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