Elasticsearch vs. SocialBee

Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly. Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly. Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it. Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.

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SocialBee is very ideal for busy individuals or small agencies that are not privileged with time. Social media management can be one of the most tedious tasks in anybody's business. SocialBee covers the majority of the tasks. Set it up once and you're done (practically forever) With all its powerful features though, it can be a little more complicated for a non-techie person. If your requirements are just simple post-scheduling, you can use other alternatives.

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• As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
• Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
• Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.

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• All major social platforms are available.
• Posts can be organized per category, per client.
• Hashtag organizer.
• Links manager, with integrations to popular link shortener tools (we use Switchy, and it works smoothly)

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• Joining data requires duplicate de-normalized documents that make parent child relationships. It is hard and requires a lot of synchronizations
• Tracking errors in the data in the logs can be hard, and sometimes recurring errors blow up the error logs
• Schema changes require complete reindexing of an index

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• Though it's not clunky, it can improve on the loading speeds while working.
• The UI/UX can be further improved (nice and neat instead of big cards especially on the categories page)
• I would love it if the scheduler can be expanded into 2-weeks or monthly range. So we can post categories that are on a 2x a month and 1x a month frequency.

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We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.

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To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching. If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.

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Currently, SocialBee is the only software that we use for our social media clients, the confidence that we have for SB is above the fold. It saves us a lot of time and business management is easy because it's highly quantifiable with the client as to the number of posts, schedules, and results.

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We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.

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I have encountered their support just a couple of times since the platform is very straightforward for me. But on those occasions, it was so smooth. They responded to my concerns in just a few hours. Not too many companies offer that convenience nowadays. Plus, they do live webinars regularly which is totally amazing!

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Do not mix data and master roles. Dedicate at least 3 nodes just for Master

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As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.

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SocialBee provides multiple features that you can get from other multiple different tools. It's kinda all in one solution for social media management. So cost-wise, it saves us a lot of money. It is also from a stable company with a sufficient MRR that helps with the security and development of the software.

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• We have had great luck with implementing Elasticsearch for our search and analytics use cases.
• While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
• We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.

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• It provides us higher margin because it requires minimal resources.
• Lesser working time means more marketing and leads generation time.
• Very cost efficient solution.

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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