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At a Glance
Market Segments
Small-Business (85.8% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
Starting at $4.00
No pricing available
DigitalOcean
Star Rating
(734)4.6 out of 5
Market Segments
Small-Business (85.8% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $4.00
Free Trial is available
Browse all 11 pricing plansIBM 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 DataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that DigitalOcean excels in ease of use and setup, with a score of 9.3 for Ease of Use and 9.4 for Ease of Setup, making it a preferred choice for small businesses. In contrast, IBM Cloud Pak for Data has lower scores of 8.1 and 7.2 respectively, which may indicate a steeper learning curve for new users.
- Reviewers mention that DigitalOcean's Virtual Machines score an impressive 9.5, highlighting its strong performance in providing customizable virtual environments. Conversely, IBM Cloud Pak for Data's Virtual Machines score of 7.9 suggests it may not offer the same level of flexibility or performance.
- G2 users note that DigitalOcean's Public Cloud infrastructure is rated at 9.2, showcasing its reliability and scalability for small businesses. In comparison, IBM Cloud Pak for Data's Public Cloud rating of 7.7 indicates potential limitations in its cloud offerings for users seeking robust public cloud solutions.
- Users on G2 report that DigitalOcean's Data Ingestion & Wrangling feature scores a remarkable 9.5, making it a standout for data management tasks. IBM Cloud Pak for Data lacks a specific score in this area, which may suggest it does not prioritize this functionality as highly.
- Reviewers say that DigitalOcean's Quality of Support is rated at 8.6, which is favorable for users needing assistance. IBM Cloud Pak for Data, with a score of 8.3, may not provide the same level of support, potentially impacting user satisfaction during critical times.
- Users report that DigitalOcean's pricing starts at $4.00, making it an attractive option for small businesses looking for cost-effective solutions. In contrast, IBM Cloud Pak for Data does not specify an entry-level price, which could be a concern for budget-conscious buyers.
Pricing
Entry-Level Pricing
DigitalOcean
Droplets
Starting at $4.00
Simple, affordable, fast virtual machines
- Deploys in seconds
- Scales up on demand
- Run any workload from mission critical apps to low traffic sites
IBM Cloud Pak for Data
No pricing availableFree Trial
DigitalOcean
Free Trial is available
IBM Cloud Pak for Data
No trial information availableRatings
Meets Requirements
9.1
639
8.5
47
Ease of Use
9.3
628
8.1
47
Ease of Setup
9.3
487
7.2
26
Ease of Admin
9.2
406
7.6
27
Quality of Support
8.7
522
8.3
42
Has the product been a good partner in doing business?
9.2
379
8.1
25
Product Direction (% positive)
9.0
628
8.8
47
Features by Category
Core Conversational Capabilities - AI Chatbots
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
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
Task & Flow Management - AI Chatbots
Not enough data
Not enough data
Not enough data
Not enough data
Learning
Not enough data
Not enough data
Not enough data
Not enough data
Deployment & Embedding - AI Chatbots
Not enough data
Not enough data
Not enough data
Not enough data
Content Generation
Not enough data
Not enough data
Not enough data
Not enough data
Admin & Configuration - AI Chatbots
Not enough data
Not enough data
System
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AI Chatbots
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
Monitoring & Improvement - AI Chatbots
Not enough data
Not enough data
Reliability & Safety - AI Chatbots
Not enough data
Not enough data
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
9.1
144
7.7
8
Feature Not Available
8.1
7
Feature Not Available
7.9
7
7.4
77
8.3
6
8.3
120
8.5
8
9.3
151
7.9
8
Feature Not Available
8.3
8
8.9
131
8.3
7
Management
8.8
153
8.6
7
8.7
153
8.3
7
8.7
146
8.1
8
Functionality
8.4
81
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
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
Agentic AI - Virtual Private Servers (VPS)
7.5
21
Not enough data
7.3
20
Not enough data
7.5
20
Not enough data
Hosting Management
8.4
346
Not enough data
8.9
353
Not enough data
Feature Not Available
Not enough data
8.6
285
Not enough data
8.2
240
Not enough data
8.7
267
Not enough data
7.9
216
Not enough data
Feature Not Available
Not enough data
8.8
296
Not enough data
8.6
294
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
Development
8.9
73
Not enough data
Feature Not Available
Not enough data
8.3
73
Not enough data
8.8
68
Not enough data
7.9
68
Not enough data
Database
8.7
69
Not enough data
7.9
67
Not enough data
7.9
66
Not enough data
8.6
66
Not enough data
8.9
68
Not enough data
Infrastructure
8.8
69
Not enough data
9.0
70
Not enough data
8.3
68
Not enough data
Configuration
8.8
51
Not enough data
8.7
51
Not enough data
8.6
51
Not enough data
7.4
50
Not enough data
8.7
50
Not enough data
Database Administration
8.7
51
Not enough data
8.4
51
Not enough data
7.8
50
Not enough data
Availability
9.2
51
Not enough data
8.8
50
Not enough data
8.4
51
Not enough data
8.4
50
Not enough data
Security
7.7
47
Not enough data
8.0
48
Not enough data
7.7
46
Not enough data
Data Management
8.6
47
Not enough data
7.5
47
Not enough data
Management
9.3
38
Not enough data
9.1
37
Not enough data
8.5
36
Not enough data
Organization
8.9
37
Not enough data
9.0
37
Not enough data
8.9
36
Not enough data
Development
8.8
36
Not enough data
8.8
34
Not enough data
8.9
36
Not enough data
9.2
35
Not enough data
Data Transformation
Not enough data
8.5
27
|
Verified
Not enough data
9.1
15
|
Verified
Connectivity
Not enough data
8.0
23
|
Verified
Not enough data
8.6
22
|
Verified
Not enough data
8.1
25
|
Verified
Not enough data
8.7
24
|
Verified
Operations
Not enough data
8.7
26
|
Verified
Not enough data
8.9
25
|
Verified
Not enough data
8.4
23
|
Verified
Not enough data
8.8
24
|
Verified
Not enough data
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
DigitalOcean and IBM Cloud Pak for Data are categorized as Infrastructure as a Service (IaaS)
Unique Categories
DigitalOcean is categorized as Container Orchestration, Block Storage, Container Management, Database as a Service (DBaaS), VPS Hosting Platforms, Cloud Platform as a Service (PaaS), Machine Learning, and AI Chatbots
IBM Cloud Pak for Data is categorized as Data Fabric, Virtual Private Cloud (VPC), Big Data Analytics, Data Science and Machine Learning Platforms, Predictive Analytics, and Generative AI Infrastructure
Reviews
Reviewers' Company Size
DigitalOcean
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
Computer Software
24.5%
Information Technology and Services
19.8%
Internet
6.9%
Marketing and Advertising
5.8%
Computer & Network Security
3.0%
Other
40.0%
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
What are droplets in DigitalOcean?
7 Comments
JL
Companies like to rename existing concepts to make them seem more exclusive. A Droplet is what Digital Ocean has decided to name its virtual machines,...Read more
What's your primary use case for DigitalOcean?
2 Comments
TR
I use it for hosting my staging websites for my web dev business as well as hosting my own website. I'm not a big fan of web hosting companies, especially as...Read more
Are digital ocean droplets VPS?
2 Comments
JL
Yes, Droplets are what Digital Ocean calls their VPS's.Read more
IBM Cloud Pak for Data has no discussions with answers
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