MIMIX [EOL] Scalability
You have to size the system according to the amount of data you need to replicate. If not, your users will feel the slow down in response time.
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No, they have a product to fit every level of scalability from single LPAR to clustering.
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MIMIX [EOL]
April 2024
Learn what your peers think about MIMIX [EOL]. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,578 professionals have used our research since 2012.
We have just one instance, and our production is not expanding much over the year. But we produce 150 million records per 24 hours on the system, so it is a significant scale, a unique production environment, and very heavy data replication.
View full review »No issues encountered.
View full review »No, it can be tuned easily.
View full review »Only with remote journal entries.
View full review »No issue encountered.
View full review »No, from the simplest to the most complex environments, and with millions of transactions, MIMIX can adapt to any environment. Normally the adjustment is related to systems hardware and software.
View full review »No issues encountered.
View full review »No issues encountered.
View full review »No issues encountered.
View full review »MR
Mohamed Ramses
IT Consultant at Ministry of Justice, Kuwait
The solution is very scalable.
View full review »No issues encountered.
View full review »It seems to be scalable in the newer versions.
View full review »No issues encountered.
View full review »No, fairly easy to add data groups and/or files to the intended replication group.
View full review »No issues encountered.
View full review »Buyer's Guide
MIMIX [EOL]
April 2024
Learn what your peers think about MIMIX [EOL]. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,578 professionals have used our research since 2012.