
Cumulocity IoT
Claim this toolA high-performance database system for large-scale transaction processing across various platforms.
Paid plans onlyVisit WebsiteThe Bottom Line
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Key facts
- High-performance database for large-scale transaction processing.
- Supports IBM z/OS, Linux, and cloud deployments with SQL access.
- Offers high availability, data replication, and robust security features.
Pros
- Exceptional transaction speed and availability for critical workloads.
- Reduced total cost of ownership through efficient resource utilization.
- Comprehensive suite of tools for high availability, security, and data management.
- Flexible deployment options across mainframe, Linux, and cloud environments.
- Real-time data replication capabilities for integration with other systems.
Cons
- Primarily targets large enterprises, potentially complex for smaller organizations.
- Requires specialized knowledge for optimal configuration and management, especially on z/OS.
What is Cumulocity IoT?
Available on: Web
Ratings Across the Web
Cumulocity IoT holds an aggregate rating of 4.3 out of 5 from 13 reviews across G2, last checked September 17, 2026.
Ratings aggregated from independent review platforms. Learn more
Key Features
- High-performance transaction processing (over 1 million commands/second)
- SQL access to Adabas data
- Data replication to cloud databases and BI platforms
- Scalable workload management
- Adabas Caching Facility for memory buffering
- Adabas Cluster for Linux & Cloud for 24x7 high availability
- Adabas Cluster Services for z/OS in IBM Parallel Sysplex
- Adabas Delta Save for optimized backups
Pricing
Cumulocity IoT offers paid plans. Visit their website for current pricing details.
Reviews

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Cumulocity IoT FAQ
How does Adabas ensure high availability for data across different environments like Linux and z/OS?
What specific security measures does Adabas implement to protect data-in-flight and data-at-rest?
Can Adabas integrate with modern business intelligence (BI) platforms and cloud databases for analytics?
How does Adabas optimize performance and reduce CPU usage for frequently accessed data?
What tools are available for administering and monitoring Adabas databases across different operating systems?
Is it possible to access Adabas data using standard SQL queries from applications?
Source: softwareag.com