Galera Cluster vs IBM Tivoli Provisioning Manager comparison

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Ranking
5th
Views
108
Comparisons
12
Reviews
0
Average Words per Review
0
Rating
N/A
7th
Views
4
Comparisons
4
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
Tivoli Provisioning Manager
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Overview

Galera Cluster for MySQL is  a true Multimaster Cluster based on synchronous replication. Galera Cluster is an easy-to-use, high-availability solution, which provides high system uptime, no data loss and scalability for future growth.

 

World’s most advanced features

  • Synchronous replication
  • Active-active multi-master topology
  • Read and write to any cluster node
  • Automatic membership control, failed nodes drop from the cluster
  • Automatic node joining
  • True parallel replication, on row level
  • Direct client connections, native MySQL look & feel

Un-seen benefits

  • No slave lag
  • No lost transactions
  • Both read and write scalability
  • Smaller client latencies
Tivoli Provisioning Manager helps organizations optimize efficiency, accuracy and service delivery by automating best practices for data center provisioning activities.
Sample Customers
OpenStack, KPN, HP
KPJ Healthcare Berhad, Keyword, Tennis Australia, Cxense ASA, SKIData AG, Unisys, Mahindra & Mahindra Ltd, RAVInvest, Odin, Chapman University, CloudHesive, Cima Solutions Group, Projetech, Grow Strategy

Galera Cluster is ranked 5th in Cluster Provisioning while IBM Tivoli Provisioning Manager is ranked 7th in Cluster Provisioning. Galera Cluster is rated 0.0, while IBM Tivoli Provisioning Manager is rated 0.0. On the other hand, Galera Cluster is most compared with , whereas IBM Tivoli Provisioning Manager is most compared with AutoSys Workload Automation and Control-M.

See our list of best Cluster Provisioning vendors.

We monitor all Cluster Provisioning reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.