Amazon Elastic Block Store (EBS) vs. MongoDB

It provides the optimized storage performance and cost for your workload and these options really work with SSD-backed storage and it improves the database performance. Keeping backups of your EC2 resources, including EBS volumes is a little bit tricky and its takes some more time and increase through put is also a tiring job to do.

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

• Raw storage capacity attached to your instance operative system
• Frequent data rewriting (mission critical for reporting)
• Low latency connectivity (14 reporting subsidiaries in different time zones)
• Videly spreaded for implementation
• Fast accessible drive
• Block storage are core for Java, Net mobile applications

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

• Creating too much EBS can be disaster if you are not properly organized by tags
• In terms of pricing it's a bit on higher side.
• In terms of performance, there is room for improvement as sometimes reading or saving the data can be painful.

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

Amazon EBS is a great tool and fairly easy to use as long as you are familiar with the Amazon Web Service ecosystem. It allows a great way for you to move storage around easily and allows you to quickly provision storage as needed based on the business requirement. For us, it's easy to move between our EC2 images that had been linked with EBS storage between these Amazon accounts.

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

The support for Amazon Elastic Block Store is great as long as you can articulate your needs. Like most tools, there may be some back and forth before you find a support person that is knowledgable in the tool and can provide you with necessary insights.

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

So far I have only used Amazon Elastic Block Store (EBS) and Azure but comparatively [I] prefer AWS elastic Block store as its having more advantages than Azure and I found it quite satisfactory and it helped a lot for information storage. We are not looking for any other hosting provider at this time.

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.

• When your application needs high IOPS storage, this is a great solution that will keep your business functioning.
• Without Amazon Elastic Block Store you could try spreading your data across several standard drives, but that introduces complexity and still has IOPS limits.

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