IBM IMS vs. Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

We have built a database of a network of bank branches with all the needs of security and recovery/restart. It requires knowledge of obsolete maintenance languages and perhaps it is too rigid in the schemes.

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If you need to execute ml algorithms, learning techniques, or mathematical calculations on large amounts of heterogeneous data, VMware Tanzu Data Services will be ideal. It will be really simple to set up, particularly if you choose AWS as your integrated cloud provider. However, if you're working with lower data amounts, such as gigabytes, it can be superfluous.

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• Security
• Reliability
• Big volume of data and good performance

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• Apache MADlib provides popular machine learning functionality.
• Allows you to query terabytes of data databases.
• Interoperability for AWS S3 is effortless.

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• Certainly, not being a DB relational penalizes its use
• It should be more flexible
• Open up to more recent languages

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• Running on Azure is a little more difficult.
• Synchronization with Kafka may be a little easier.

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They were very helpful. We needed support for initial implementation.

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Essentially, for a question of reliability and scalability, the performance has always been of an enterprise level. The utilities are efficient and effective.

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• The investment made about 20 years ago that has been fully repaid
• Reliability and security of investments
• Unfortunately, it is quite outdated and therefore maintenance costs are higher because the skills are not always available.

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• There was a noticeable reduction in system reliability.
• Saw a reduction in unsuccessful analytics operations.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info