Livefyre was acquired in 2016 and became part of the Adobe Experience Manager suite of products. The product has since been discontinued, and is no longer available for sale.
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MongoDB
Score8.8 out of 10
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MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
$0.10
million reads
Pricing
Livefyre (discontinued)
MongoDB
Editions & Modules
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Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
Offerings
Pricing Offerings
Livefyre (discontinued)
MongoDB
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Required
No setup fee
Additional Details
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Fully managed, global cloud database on AWS, Azure, and GCP
I was strictly the implementor of Livefyre (for my company only). That task alone was at least 3 weeks worth of work. From a user standpoint, Livefyre is a good product which is why this review is strictly about how difficult it was to implement. Therefore, if a colleague was to ask me if I recommend Livefyre, it's not a straight answer. Questions like, 'how fast do you need it?', 'how centralized is your user database?', 'do you want social login?', all come into question and were details that made my job not easy (hence, my review of 5/10 for suggesting it to others). Once implemented, Livefyre is a great product (notice my overall review is higher), but based on my experience with implementation, it certainly requires a senior developer's dedicated time and patience to set up exactly as desired. For smaller companies with small/simple user bases and websites, the process may be more straightforward, but from my experience, it wasn't out-of-the-box at all.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Implementation was not easy. Although flexible, I personally wrote at least 1,400 lines of code to get this implemented over a few week's time.
The social login aspect is cool, but again, hard to implement. They did not write any of those modules, although they could have. This required senior-level developmental skills and a knowledge of how social media is interfaced with programmatically. Lots of questions arose from this and it was difficult to implement with virtually no help from Livefyre, other than to provide the hooks into their system for when users were validated. I had to write at least 2 separate login/redirection scripts to accomplish this flow.
CSS tweaking was tricky. We could override lots of common CSS classes, but to get things just the way we wanted it, I ended up writing LOTS of jQuery listeners and functions to transform the output into exactly what we wanted. This was a surprise since the software was sold to us as being 'fully customizable'.
Documentation was sufficient, but not great. Getting the flow of the callbacks that are fired wasn't clear at first, and sometimes did not work as expected.
It should be noted that, after this review was published, Livefyre contacted me stating they now have better documentation and process for implementation (for version V3, specifically) and urged me to revise this review. However, I can only write of my experience with V2, and it WAS difficult to implement over 3 weeks of dedicated time. Another developer on my team implemented version V3 and his evaluation is very similar to mine, claiming much difficulty with the CSS customization.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We feel we have a real partnership with Livefyre and we both make each other better. Their customer service has been phenomenal even during a time of rapid growth.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We felt Livefyre was more innovative and better at SEO. It felt like we were working with a partner for the long haul who was interested in our business and how to improve it.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
