(EOL) Cisco CloudCenter vs. MongoDB

It is well suited for large corporate entities, whether they are in manufacturing, sales, engineering, healthcare, supply or shipping. It is easy to understand and operate once it has been initially configured. Expansion of the system is likewise easy to do once expertise has been acquired. The only difficulty with this or any cloud scenario is ensuring where the data is located and managing that securely.

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

• We are able to automate deployment which has been a strength to the geographical distribution of the enterprise.
• We have been able to work with a wider variety of developer tools and haven't had to customize to fit CloudCenter.
• It is easier for us to allocate space and allow users to take advantage of the system directly with a minimum of overhead.

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

• The software and systems don't present a problem to us but the continued interaction with mid-level support teams and vendors can slow down implementation or correction of difficulties we experience.
• The continued overhead associated with peripheral training on systems we have purchased can cause delays.
• Language barriers sometimes show up but this, again, is due to remote middle agents that are themselves contractors of or sales agents of the main agency. It slows down communication and can introduce business difficulties.

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

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

We found that the cost advantages were greater by going with Cisco because of our present contracts and the materials and equipment we already had on hand. The reliability of the system, for us, outweighed any cost advantages we might have been realized by going with another provider. Certainly the service and support for the entire system is much better when handled by a single vendor with a good track record.

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.

• We have had a positive return on investment by adopting Cisco CloudCenter as the system is more mature than competitors. We have saved a lot by working with them rather than continuing to act as a defacto test location for other systems.
• We have been able to reduce the number of staff necessary to operate the system and turn them over to more profitable work.
• One negative impact we have seen is that it is difficult to map where the data is located at any specific instance.

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