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Compare Arcadia Enterprise and IBM Cloud Pak for Data 
Featured Products
At a Glance
Market Segments
Enterprise (78.6% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Arcadia Enterprise
Star Rating
(15)3.6 out of 5
Market Segments
Enterprise (78.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Arcadia EnterpriseIBM Cloud Pak for Data
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for DataArcadia Enterprise vs IBM Cloud Pak for Data
When assessing the two solutions, reviewers found IBM Cloud Pak for Data easier to use and do business with overall. However, reviewers preferred the ease of set up with Arcadia Enterprise, along with administration.
- Reviewers felt that IBM Cloud Pak for Data meets the needs of their business better than Arcadia Enterprise.
- When comparing quality of ongoing product support, reviewers felt that IBM Cloud Pak for Data is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of IBM Cloud Pak for Data over Arcadia Enterprise.
Pricing
Entry-Level Pricing
Arcadia Enterprise
No pricing availableIBM Cloud Pak for Data
No pricing availableFree Trial
Arcadia Enterprise
Free Trial is available
IBM Cloud Pak for Data
No trial information availableRatings
Meets Requirements
6.7
11
8.5
47
Ease of Use
7.4
12
8.1
47
Ease of Setup
8.3
9
7.2
26
Ease of Admin
7.7
8
7.6
27
Quality of Support
7.4
12
8.3
42
Has the product been a good partner in doing business?
7.6
9
8.1
25
Product Direction (% positive)
8.1
12
8.8
47
Features by Category
Customization
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure
Not enough data
Not enough data
Not enough data
9.0
5
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
Not enough data
Not enough data
Infrastructure Provision
Not enough data
7.7
8
Not enough data
8.1
7
Not enough data
7.9
7
Not enough data
8.3
6
Not enough data
8.5
8
Not enough data
7.9
8
Not enough data
8.3
8
Not enough data
8.3
7
Management
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
8.1
8
Functionality
Not enough data
8.3
8
System
Not enough data
9.5
11
Model Development
Not enough data
8.3
8
Not enough data
8.5
8
Not enough data
9.1
9
Not enough data
8.8
8
Model Development
Not enough data
8.5
12
Machine/Deep Learning Services
Not enough data
8.7
9
Not enough data
9.4
8
Not enough data
9.6
8
Not enough data
9.0
7
Machine/Deep Learning Services
Not enough data
9.2
8
Not enough data
9.3
7
Deployment
Not enough data
9.3
9
Not enough data
9.3
9
Not enough data
8.9
9
Generative AI
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
8.3
5
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.3
5
Analytics
Not enough data
Not enough data
Security
Not enough data
9.0
5
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 - Data Fabric
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
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
Statistical Tool
Not enough data
8.3
5
Not enough data
8.8
8
Not enough data
8.6
7
Data Analysis
Not enough data
8.7
9
Not enough data
9.0
7
Decision Making
Not enough data
8.3
6
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
8.3
8
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Transformation
6.1
6
|
Verified
8.5
27
|
Verified
Not enough data
9.1
15
|
Verified
Connectivity
8.0
9
|
Verified
8.0
23
|
Verified
Not enough data
8.6
22
|
Verified
7.9
7
|
Verified
8.1
25
|
Verified
9.0
5
|
Verified
8.7
24
|
Verified
Operations
8.0
9
|
Verified
8.7
26
|
Verified
6.7
5
|
Verified
8.9
25
|
Verified
7.3
5
|
Verified
8.4
23
|
Verified
Not enough data
8.8
24
|
Verified
Feature Not Available
8.7
13
|
Verified
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
Arcadia Enterprise and IBM Cloud Pak for Data are categorized as Big Data Analytics
Unique Categories
Arcadia Enterprise has no unique categories
IBM Cloud Pak for Data is categorized as Data Fabric, Virtual Private Cloud (VPC), Data Science and Machine Learning Platforms, Predictive Analytics, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
Reviews
Reviewers' Company Size
Arcadia Enterprise
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Cloud Pak for Data
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
Banking
35.7%
Insurance
14.3%
Telecommunications
7.1%
Pharmaceuticals
7.1%
Media Production
7.1%
Other
28.6%
Computer Software
12.9%
Information Technology and Services
8.6%
Banking
8.6%
Financial Services
5.7%
Education Management
5.7%
Other
58.6%
Alternatives
Discussions
How does Arcadia Data differ from other analytics/BI tools in the market?
1 Comment
Official Response from Arcadia Enterprise
One key difference is how data is handled in big data environments like data lakes. When used in a data lake, other analytics/BI tools require moving data to...Read more
Can Arcadia Data run in the cloud?
1 Comment
Official Response from Arcadia Enterprise
Yes, Arcadia Data software runs in the cloud in addition to on-premises. Arcadia Data has an analytics engine with a distributed architecture that can take...Read more
Can Arcadia Data be embedded in your custom web applications?
1 Comment
Official Response from Arcadia Enterprise
Yes, Arcadia Data can be seamlessly embedded in your web applications in a white-label manner. The UI style can be customized to match the look and feel of...Read more
IBM Cloud Pak for Data has no discussions with answers
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