DBArtisan vs. MongoDB

DBArtisan is functional and suitable for any sized organization that needs to monitor its database resources and running queries.

Incentivized

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.

Incentivized

• User interface is easy to use, and in some ways better than Toad. The left hand side shows all databases, and you can drill down to instance, storage, schemas, tablespaces, and performance views. The right hand side displays the details of the selected object.
• This is the best tool if you want to manage multiple RDBMS platforms in a single tool using the same familiar interface. Other third party tools can do it also, but it's not nearly as integrated as this, and may require additional plug-ins installed. DBArtisan excels at this, and can perform cross-platform data migrations easily.
• It has different DB analysts, which can help diagnose issues with performance, optimize storage, detect fragmentation, and plan for capacity growth. For almost any action you want to take, you can generate the DDL for preview, and/or schedule it to run at a specific time.

Incentivized

• 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.

Incentivized

• Locks up far too often
• Licensing structure is expensive

Incentivized

• 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.

Incentivized

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.

Incentivized

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.

Incentivized

I have never tried their support so the number above is meaningless

Incentivized

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.

Incentivized

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.

Incentivized

DBArtisan does not have an in-depth performance analyzer for databases.

Incentivized

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.

• It has a positive ROI on our organization. It's better than OEM and SQL Developer. Although the license could be expensive, it is perfect for large organizations, especially with multiple RDBMS platforms.
• Most features are redundant between DBArtisan and Toad. I would not recommend using both if you already own one of them. Just download the trial for the one you're not using, and see what works best for your organization.
• DBArtisan is great for DBAs and would be my personal preference. Toad is good for developers and DBAs alike but I feel like sometimes the interface is too busy and too clumsy to use.

Incentivized

• 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