IDERA SQL Diagnostic Manager vs. Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

SQL Server [Business Intelligence] Manager is useful for tracking performance across SSIS, SSRS and SSA and have the data represented in dashboards. It helps improve performance and helps end users. However, several features are redundant for smaller organization that can use the tools that comes with existing Microsoft products. These features also takes time to learn and use.

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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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• SQLdm does a good job of providing information at a high level, but also allows me to drill down to specific queries and events if needed. I don't always need to sift through tons of details to get the information I need. It also gives a very wide range of information from SQL specific metrics, to OS metrics, to VM metrics, all the way up to host server metrics.
• I like how the alert and notification system can be customized. For example, if you know a certain server regularly has long-running queries, you can adjust the alert to not fire unless a query has been running for 30 minutes while the rest of the servers fire after 30 seconds. That is very helpful in not being bombarded at dinner with alerts from a server similar to, "I've been at 90% cpu for 26 milliseconds!!!!!!!...and now it's back down to 30%" Good information to know, but not something you need to literally lose sleep over.
• I like how you can configure different servers to be monitored differently. For example, you can have a group of servers called DEVELOPMENT that you can turn on heavier monitoring on so you can test how changes in applications might affect the SQL environment, but in the PRODUCTION group, you may only want to enable the heavier analysis and logging when performance issues are actively being reported.

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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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• Windows client has some issues. When you have small time intervals for your data collection, it can cause the client to become unresponsive and require you to restart it.
• It takes more time to get the web client running than it does to get the windows client running.
• The visualizations have been the same for the last eight years--could use a little bit of a refresh.

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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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IDERA SQL Diagnostic Manager for SQL, Redgate SQL, and MonitorLogicMonitor are similar products to each other. We decided on IDERA SQL Diagnostic Manager for SQL because our experience with locating heavy queries has been very good and it provides real-time monitoring of all servers and databases. It also allows you to have a large volume of historical data which allows you to analyze trends in the databases.

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• Allows us to quickly set up ETL processes as soon as we installed SQL Server.
• There's a lot of free/paid resources available online, decreasing development time.
• A tool with plenty of experienced developers.

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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