MongoDB vs. SolarWinds Database Performance Analyzer

If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.

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This is an easy 10 because I actually have recommended this product to multiple clients and colleagues! Any shop that writes its own SQL queries will benefit from the insight provided by SolarWinds Database Performance Analyzer, so they know which of their queries is causing a bottleneck. Small shops or databases with only a few tables likely will see far fewer opportunities for optimization.

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• Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
• You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
• Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.

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• Maintains historical SQL execution data, enabling forensic analysis
• Has the ability to slice and dice the data so that you can drill down to the execution of a single SQL statement being executed by a stored procedure
• Alerts to when the consumption pattern changes
• Shows historical average run times against the current, illustrating problems when they arise
• Provides tuning advice based on best practices

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• An aggregate pipeline can be a bit overwhelming as a newcomer.
• There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
• Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.

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• Alerts seem to be lacking in DPA compared to competitor's tools. They can be setup but are not quite as easy or as helpful as some other tools I have used.
• Grooming/pruning the repository database isn't very easy. We don't manage a lot of instances but our repo DB has grown pretty significantly.
• At times when I am drilled-down to a chart, it can be difficult to navigate around from that point to another time range/query/metric.

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I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.

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We have relied on this product for a very long time and it continues to exceed expectations. The product is a vital part of our organization at this point, it would not be very ideal for us to abandon it. We use it almost every day and depend on its alerts for critical parts of our business

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NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.

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I don't want to think about managing clusters of SQL servers in the future without this tool. We have demoed other tools and SolarWinds Database Performance Analyzer is the gold standard for usability and insight into what your servers are doing. The UI is a bit dated, but everything is laid out in a logical manner and drilling down into queries or timeslices is extremely intuitive.

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Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.

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I have had to use their support on a few occasions, for reasons that I am not clear about until recently I have always had problems upgrading the software (although the last 2 updates have gone without issue which I am very pleased to say). On those unfortunate occasions, the support has been brilliant with either excellently documented guides on how to resolve the issue by myself or have been hands-on with calls and screen sharing to remotely fix the issue. Every time the problem was sorted and more importantly, nothing was lost (apart from a bit of time). And as I stated above whatever the problem was that was causing my upgrade issues appears to have been resolved in the last 2 updates.

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While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.

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Follow the guidelines for the capacity of the servers. We found that the DPA databases were getting rather large and also that there are ways to reduce their size built into some of the options.

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We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.

At the time, we found SolarWinds Database Performance Analyzer to be easier to setup and to have a richer feature set than Redgate SQL Monitor, plus, from what I remember, the DPA pricing worked better for us over the course of a year. We're very happy with all the features DPA has to offer.

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• Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
• You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB

• It has allowed us to progress as an organization with much less reliance on a direct DBA than would traditionally be required
• Allowed us to be much more proactive in our performance monitoring and responding to issues that would affect users.

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