ClicData vs. MongoDB

We used ClicData dashboards in a somewhat unorthodox way: we used "Indicators", or icons within tables to represent data, and the results looked great. The ability to integrate 3rd party HTML into dashboards was valuable (although Clic Data correctly warns that response time may suffer). The ability to start small and release dashboards incrementally suited our needs very well. We also valued the responsive account team getting us quickly pointed in the right direction.

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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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• Ease of use, I can put together a dashboard in about an hour that is used by daily.
• Support, their support team is super helpful and always has detailed insight.
• Connectors, they have a huge number of connectors that allow easy integration of your data sources.

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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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• More widgets.
• Sometimes it takes a while to refresh.

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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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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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Like I mentioned before, the ease of use means we not only get very quick results and beautiful dashboards in minutes, it means my team is actually using it because they aren't frustrated in the learning curve or wasting time trying to accomplish simple tasks.

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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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We've only needed support a couple times in the beginning as we were learning the system and how to display our data in interesting ways. Every time we reached out we got very detailed responses and were connected to someone that you could tell was very interested in making sure we were happy with how things were going.

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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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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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ClicData was the most flexible. It is cloud-based and even has WebService access. You can publish your data for access from other applications. The sheer number of data connectors is amazing. The ability to not only create dashboards, but you can schedule them to be delivered to specific recipients on a scheduled basis via PDF or a static HTML page.

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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.

• ClicData was by far the most reasonable cost-wise, and we were able to get ROI within just minutes of using it.

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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