Cumulocity IoT
UnclaimedA high-performance database system for large-scale transaction processing across various platforms.
Visit WebsiteTL;DR - Cumulocity IoT
- 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.
Pricing: Paid only
Best for: Enterprises & pros
4.2/5 across review platforms
Pros & Cons
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.
Ratings Across the Web
4.2(14 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
High-performance transaction processing (over 1 million commands/second)SQL access to Adabas dataData replication to cloud databases and BI platformsScalable workload managementAdabas Caching Facility for memory bufferingAdabas Cluster for Linux & Cloud for 24x7 high availabilityAdabas Cluster Services for z/OS in IBM Parallel SysplexAdabas Delta Save for optimized backups
Pricing
Paid
Cumulocity IoT offers paid plans. Visit their website for current pricing details.
About Cumulocity IoT
By Toolradar Team·
Adabas is a comprehensive and scalable enterprise database management system optimized for big data. It is designed for reliability, high performance, and low total cost of ownership, making it suitable for organizations requiring robust transaction processing capabilities. Adabas supports deployment on IBM z/OS, Linux, and cloud environments, offering seamless access to Adabas data using SQL and facilitating data replication to cloud databases and business intelligence platforms. It is engineered to scale workloads while maintaining exceptional transaction speed, availability, and cost efficiency, processing over 1 million commands per second with fewer resources than comparable systems.
This product suite includes various components that enhance its core functionality, such as caching for improved efficiency, client libraries for Java development, clustering for high availability and geo-distribution, and advanced security features for data-in-flight and data-at-rest. Adabas also provides tools for optimized backups, real-time data replication, and comprehensive administration and monitoring, ensuring that enterprises can manage their critical data effectively and securely across diverse IT infrastructures.
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Cumulocity IoT FAQ
How does Adabas ensure high availability for data across different environments like Linux and z/OS?
Adabas achieves high availability through dedicated clustering solutions. For Linux and Cloud, Adabas Cluster provides application-transparent 24x7 HA and geo-distribution. For z/OS, Adabas Cluster Services runs in an IBM Parallel Sysplex environment, allowing up to 32 Adabas images to operate in parallel with full data-sharing.
What specific security measures does Adabas implement to protect data-in-flight and data-at-rest?
Adabas offers robust encryption capabilities. Adabas Encryption for Linux secures both data-in-flight and data-at-rest. Adabas Encryption for z/OS specifically secures data-at-rest by leveraging IBM Pervasive Encryption technologies. Additionally, Adabas SAF Security provides SAF-based access control, validating end-users against security definitions like RACF®, TOP Secret, or ACF2.
Can Adabas integrate with modern business intelligence (BI) platforms and cloud databases for analytics?
Yes, Adabas facilitates integration with BI platforms and cloud databases. The Adabas Event Replicator for Linux & Windows and for z/OS enables real-time data replication of changes from Adabas to target systems, including other Adabas instances, RDBMS, BI environments, or big data platforms.
How does Adabas optimize performance and reduce CPU usage for frequently accessed data?
Adabas employs several optimization techniques. Adabas Caching Facility buffers data and indexes in memory to decrease physical I/Os. Adabas Fastpath automatically stores frequently accessed records in memory to reduce CPU usage and implements automatic read-ahead for sequential reads, significantly boosting performance.
What tools are available for administering and monitoring Adabas databases across different operating systems?
Adabas provides both browser-based and mainframe-based interfaces for administration and monitoring. Adabas Manager offers a browser-based interface for Adabas on z/OS and Linux & Cloud, also covering Adabas Event Replicator for z/OS and Entire Net-Work. For z/OS, Adabas Online System provides a mainframe-based interface, and Adabas Review allows for operational monitoring and reporting of the Adabas nuclei.
Is it possible to access Adabas data using standard SQL queries from applications?
Yes, Adabas SQL Gateway provides a standard SQL interface, allowing applications to access Adabas data using SQL queries through standard JDBC® and ODBC interfaces. This functionality is available for both Adabas for z/OS and Linux & Cloud.
Source: softwareag.com