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Compare Designcenter NX and Google Cloud BigQuery 
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At a Glance
Market Segments
Enterprise (37.6% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
Starting at $238.75 1 Subscription Per Month
Free
Designcenter NX
Star Rating
(522)4.4 out of 5
Market Segments
Enterprise (37.6% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $238.75 1 Subscription Per Month
Free Trial is available
Browse all 4 pricing plansGoogle Cloud BigQuery
Star Rating
(1,201)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansDesigncenter NX vs Google Cloud BigQuery
When assessing the two solutions, reviewers found Google Cloud BigQuery easier to use, set up, and administer. Reviewers also preferred doing business with Google Cloud BigQuery overall.
- Reviewers felt that Designcenter NX meets the needs of their business better than Google Cloud BigQuery.
- When comparing quality of ongoing product support, reviewers felt that Designcenter NX is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Google Cloud BigQuery over Designcenter NX.
Pricing
Entry-Level Pricing
Designcenter NX
NX X Essentials
Starting at $238.75
1 Subscription Per Month
Browser-based essential NX CAD, CAM and CAE tools. Create and edit NX data with zero translation.
- Feature-based solid modeling
- Synchronous technology
- Drafting
Google Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
- 10 GB storage
- Up to 1 TB queries per month
Free Trial
Designcenter NX
Free Trial is available
Google Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
9.0
231
8.8
612
Ease of Use
8.1
432
8.7
626
Ease of Setup
8.0
295
8.8
401
Ease of Admin
8.3
36
8.5
224
Quality of Support
8.6
218
8.4
564
Has the product been a good partner in doing business?
8.6
36
8.7
217
Product Direction (% positive)
8.8
224
9.2
600
Features by Category
File Support - Additive Manufacturing
8.9
48
Not enough data
8.6
47
Not enough data
8.9
49
Not enough data
File Editing - Additive Manufacturing
8.2
52
Not enough data
9.1
51
Not enough data
Software Integrations - Additive Manufacturing
8.4
49
Not enough data
9.2
51
Not enough data
Software Type - Additive Manufacturing
8.3
47
Not enough data
8.9
48
Not enough data
Generative AI - Additive Manufacturing
5.9
15
Not enough data
6.2
15
Not enough data
Building Preparation - Additive Manufacturing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
8.6
123
Not enough data
8.3
121
Functionality
Not enough data
9.0
121
Not enough data
9.1
124
Not enough data
9.0
124
Not enough data
8.9
123
Not enough data
9.4
124
Data Management
Not enough data
8.9
223
|
Verified
Not enough data
8.3
214
|
Verified
Not enough data
8.9
219
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.7
205
|
Verified
Integration
Not enough data
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Deployment
Not enough data
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Performance
Not enough data
9.1
220
|
Verified
Security
Not enough data
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Generative AI
Not enough data
7.7
132
Not enough data
7.9
129
Storage
Not enough data
9.1
70
Not enough data
8.8
70
Availability
Not enough data
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Performance
Not enough data
8.5
65
Security
Not enough data
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Support
Not enough data
8.7
66
Not enough data
8.9
66
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Tools - Mechanical Computer-aided Design (MCAD)
9.3
71
Not enough data
8.5
71
Not enough data
9.1
71
Not enough data
9.3
72
Not enough data
8.6
71
Not enough data
File Options - Mechanical Computer-aided Design (MCAD)
9.0
71
Not enough data
8.7
72
Not enough data
8.7
72
Not enough data
8.5
72
Not enough data
8.7
72
Not enough data
Customization - Mechanical Computer-aided Design (MCAD)
8.6
72
Not enough data
8.2
70
Not enough data
8.7
71
Not enough data
8.8
72
Not enough data
Environment - Mechanical Computer-aided Design (MCAD)
8.8
72
Not enough data
8.6
71
Not enough data
8.8
71
Not enough data
9.0
72
Not enough data
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
79
Not enough data
8.8
79
Data Analysis
Not enough data
9.3
78
Not enough data
9.1
79
Decision Making
Not enough data
8.8
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Generative AI
Not enough data
7.5
51
Not enough data
7.8
51
Marketing Operations
Not enough data
8.8
66
Not enough data
9.2
64
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
63
Not enough data
8.5
63
Campaign Activity
Not enough data
9.1
68
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
62
Not enough data
8.9
63
Not enough data
9.1
65
Agentic AI - Marketing Analytics
Not enough data
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Database
Not enough data
8.8
178
Not enough data
8.9
176
Not enough data
8.8
170
Integrations
Not enough data
8.4
139
Not enough data
8.6
136
Platform
Not enough data
8.9
153
Not enough data
8.9
168
Not enough data
8.6
136
Processing
Not enough data
9.3
170
Not enough data
9.1
164
Data Transformation
Not enough data
8.8
288
Not enough data
9.3
295
Connectivity
Not enough data
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Operations
Not enough data
8.5
283
Not enough data
8.7
282
Not enough data
8.3
260
Not enough data
8.4
267
Not enough data
8.5
259
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
Designcenter NX and Google Cloud BigQuery share no categories
Unique Categories
Designcenter NX is categorized as Mechanical Computer-aided Design (MCAD) and Additive Manufacturing
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Designcenter NX
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigQuery
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
Automotive
16.0%
Aviation & Aerospace
13.4%
Mechanical or Industrial Engineering
11.1%
Defense & Space
5.8%
Airlines/Aviation
5.8%
Other
47.9%
Information Technology and Services
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
Alternatives
Discussions
Which companies are using NX software?
3 Comments
AM
Many MNC companies in india are using Siemens softwares. Nx specially use for plastic and die casting industry majorly. Read more
What is NX software used for?
3 Comments
PS
NX software is mainly used to design CAD models, Tool and Sheet metal design, 2D drafting and much more.Read more
What is NX CAD used for?
2 Comments
PS
It is used for Product design as well as Tool/Mold design. It is also used for 2D drawing. In die casting industry, it is used vastly for Mold design due to...Read more
Is BigQuery part of Google Cloud Platform?
2 Comments
AY
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 Comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...Read more
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