erwin Data Modeler by Quest is a data modeling tool used to find, visualize, design, deploy and standardize high-quality enterprise data assets. It can discover and document any data from anywhere for consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence and analytics initiatives, accomplishing this whil esupporting data governance and intelligence efforts.
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IDERA SQL Diagnostic Manager
Score 8.1 out of 10
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SQL Diagnostic Manager for Microsoft SQL Server helps database administrators to find and fix Microsoft SQL Server performance problems in physical, virtual, and cloud environments. Unlike its competition, it provides effective scalability, advanced SQL query analysis and optimization, prescriptive analysis with corrective SQL scripts, powerful automated alert responses, broad PowerShell integration, complete customization, and extensive support for current and legacy Microsoft SQL Server and…
$1,996
per instance with first year maintenance included
Pricing
erwin Data Modeler
IDERA SQL Diagnostic Manager
Editions & Modules
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Standard via eCommerce
1,996.00
per instance with first year maintenance included
Offerings
Pricing Offerings
erwin Data Modeler
IDERA SQL Diagnostic Manager
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
erwin Data Modeler
IDERA SQL Diagnostic Manager
Features
erwin Data Modeler
IDERA SQL Diagnostic Manager
SQL Performance Monitoring
Comparison of SQL Performance Monitoring features of Product A and Product B
I have had a chance to use few other data modeling tools from Quest and Oracle, but I am most comfortable using erwin Data Modeler. They understand your data modeling needs and have designed the software to give you a feeling of completeness when you are designing a data model.
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.
Reverse Engineering: I love the way we can import an SQL file containing schema meta data and generate ER diagram out of it. This is specifically useful if you are implementing erwin Data Modeler for an existing database.
Forward Engineering: We use this feature very frequently. Where we do database changes in our physical and logical data models and then generate deployment scripts for the changes made.
Physical vs Logical Models: I like to have my database model split into physical and logical models and at the same time still linked to each other. Any changes you make to logical model or physical model shows up in the other.
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.
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.
I had a lot of experience using erwin Data Modeler for designing data models. I think it's pretty intuitive and easy to use. It has enough features to represent your database requirements in form of a model.
CA customer support and our account manager have been able to support us with any issues that we have had, from managing our serial keys to issues we logged tickets to resolve. There are aspects of key management that have made it difficult over the years but support usually has worked with us.
Not listed, but I've only used alternatives built into something like the Squirrel SQL editor. That one is semi-functional but lacking many features and, in some instances, just plain wrong. The only pro there is that it's freely available and works over ODBC. I've tried some of the other free ones like Creately but didn't have much success.
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.