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Compare DataStax and IBM Cloud Pak for Integration 
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At a Glance
Market Segments
Small-Business (47.8% of reviews)
Mid-Market (36.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
DataStax
Star Rating
(46)4.6 out of 5
Market Segments
Small-Business (47.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DataStaxIBM Cloud Pak for Integration
Star Rating
(49)4.2 out of 5
Market Segments
Mid-Market (36.8% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for IntegrationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that DataStax excels in real-time processing with a score of 9.0, while IBM Cloud Pak for Integration lags behind at 8.1. Reviewers mention that DataStax's ability to handle real-time data streams is a significant advantage for businesses needing immediate insights.
- Reviewers mention that DataStax's integration capabilities are highly rated at 9.3, compared to IBM Cloud Pak for Integration's 9.2. Users on G2 appreciate DataStax's seamless integration with various data sources, which enhances their operational efficiency.
- Users say that DataStax's quality of support is rated at 8.8, significantly higher than IBM Cloud Pak for Integration's 7.8. Reviewers highlight that DataStax provides responsive and knowledgeable support, which is crucial for troubleshooting and optimizing their systems.
- G2 users report that DataStax offers superior ease of setup with a score of 8.5, while IBM Cloud Pak for Integration scores only 6.8. Users mention that the straightforward installation process of DataStax allows for quicker deployment and less downtime.
- Reviewers mention that DataStax shines in monitoring functionalities, scoring 9.4, while IBM Cloud Pak for Integration scores 8.9. Users appreciate the robust monitoring tools in DataStax that provide comprehensive insights into system performance and health.
- Users report that DataStax's data replication feature is rated at 8.3, while IBM Cloud Pak for Integration achieves a higher score of 9.0. However, reviewers note that while IBM's replication is strong, DataStax's overall data management capabilities are more versatile and user-friendly.
Pricing
Entry-Level Pricing
DataStax
No pricing availableIBM Cloud Pak for Integration
No pricing availableFree Trial
DataStax
No trial information availableIBM Cloud Pak for Integration
No trial information availableRatings
Meets Requirements
9.2
42
8.2
26
Ease of Use
8.7
44
7.4
26
Ease of Setup
8.7
36
6.8
15
Ease of Admin
8.2
20
7.1
14
Quality of Support
8.9
43
7.7
25
Has the product been a good partner in doing business?
9.5
22
7.3
14
Product Direction (% positive)
9.2
43
8.1
24
Features by Category
Data
8.0
5
8.6
7
8.7
5
8.3
7
9.3
5
9.2
6
9.0
5
8.1
7
Analytics
Feature Not Available
8.3
7
Functionality
Not enough data
7.9
7
Not enough data
7.9
7
Not enough data
8.7
5
Not enough data
Not enough data
Integration
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
7.8
6
Management
Not enough data
8.3
5
Not enough data
8.7
5
Not enough data
7.5
6
Agentic AI - Message Queue (MQ)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
9.3
7
Not enough data
8.6
7
Not enough data
9.0
7
Not enough data
9.5
7
Not enough data
8.8
7
Not enough data
Feature Not Available
Not enough data
Agentic AI - Database Monitoring
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
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
8.3
5
Not enough data
Feature Not Available
Not enough data
9.7
5
Not enough data
Feature Not Available
Not enough data
Solution Provision
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Feature Not Available
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
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
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Feature Not Available
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
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
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Feature Not Available
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Development
Not enough data
7.9
7
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
Management
Not enough data
7.7
5
|
Verified
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
9.0
5
|
Verified
Not enough data
9.3
5
|
Verified
Integration Options
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
Storage
8.9
6
Not enough data
9.2
6
Not enough data
Availability
8.6
6
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
Performance
Feature Not Available
Not enough data
Security
9.3
5
Not enough data
9.0
5
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Support
8.7
5
Not enough data
9.0
5
Not enough data
Storage
Not enough data
Not enough data
Scalability
Not enough data
Not enough data
Not enough data
Not enough data
Security
Feature Not Available
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Wide Column Database
Not enough data
Not enough data
Data Indexing
9.6
19
Not enough data
9.6
19
Not enough data
Filters
9.3
19
Not enough data
9.5
19
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
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
API Construction
Not enough data
7.8
15
Not enough data
8.2
14
Not enough data
7.6
15
Not enough data
7.8
13
API Management
Not enough data
7.7
14
Not enough data
7.6
14
Not enough data
8.2
15
Not enough data
7.3
14
Not enough data
7.7
13
Data Integration
Not enough data
8.6
13
Not enough data
9.0
13
Not enough data
7.8
12
Configuration
9.4
11
Not enough data
8.8
11
Not enough data
8.8
11
Not enough data
Feature Not Available
Not enough data
8.2
11
Not enough data
Database Administration
8.5
10
Not enough data
9.2
11
Not enough data
8.0
11
Not enough data
Availability
9.7
11
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
8.9
11
Not enough data
Security
Feature Not Available
Not enough data
8.9
9
Not enough data
Feature Not Available
Not enough data
Data Management
8.5
8
Not enough data
7.6
7
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
Database Features
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
DataStax and IBM Cloud Pak for Integration are categorized as Event Stream Processing
Unique Categories
IBM Cloud Pak for Integration is categorized as Message Queue (MQ), Enterprise Service Bus (ESB), iPaaS, ETL Tools, and API Management
Reviews
Reviewers' Company Size
DataStax
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Cloud Pak for Integration
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
23.9%
Information Technology and Services
10.9%
Retail
8.7%
Consulting
4.3%
Entertainment
4.3%
Other
47.8%
Information Technology and Services
18.4%
Computer Software
15.8%
Insurance
13.2%
Banking
13.2%
Education Management
10.5%
Other
28.9%
Alternatives
Discussions
DataStax has no discussions with answers
how much time does it take to become an expert in this technology
1 Comment
DJ
Mostly a month or two if you have knowledge of Rest API, Queues etc. as concept.Read more
IBM Cloud Pak for Integration has no more discussions with answers
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