Apache Derby vs. IDERA SQL Diagnostic Manager

If you need a SQL-capable database-like solution that is file-based and embeddable in your existing Java Virtual Machine processes, Apache Derby is an open-source, zero cost, robust and performant option. You can use it to store structured relational data but in small files that can be deployed right alongside with your solution, such as storing a set of relational master data or configuration settings inside your binary package that is deployed/installed on servers or client machines.

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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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• Apache Derby is SMALL. Compared to an enterprise scale system such as MSSQL, it's footprint is very tiny, and it works well as a local database.
• The SPEED. I have found that Apache Derby is very fast, given the environment I was developing in.
• Based in JAVA (I know that's an obvious thing to say), but Java allows you to write some elegant Object Oriented structures, thus allowing for fast, Agile test cases against the database.
• Derby is EASY to implement and can be accessed from a console with little difficulty. Making it appropriate for everything from small embedded systems (i.e. just a bash shell and a little bit of supporting libraries) to massive workstations.

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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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• It may not scale as well as some more mature database products.
• Used it primarily from the command line with openjpa and jdbc, and from third-party clients such as Squirrel.
• May benefit by providing more sophisticated tools to optimize query performance.

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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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SQLite is another open-source zero-cost file-based SQL-capable database solution and is a good alternative to Apache Derby, especially for non-Java-based solutions. We chose Apache Derby as it is Java-based, and so is the solution we embedded it in. However, SQLite has a similar feature set and is widely used in the industry to serve the same purposes for native solutions such as C or C++-based products.

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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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• Being Open source, the resources spent on the purchase of the product are ZERO.
• Contrary to popular belief, open source software CAN provide support, provided that the developers/contributors are willing to answer your emails.
• Overall, the ROI was positive: being able to experiment with an open source technology that could perform on par with the corporate products was promising, and gave us much information about how to proceed in the future.

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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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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