Elasticsearch vs. OutboundEngine

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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OutboundEngine does a referral campaign and I've been able to close a couple of deals based on getting in touch with people who engage with this campaign and state they could use my services in the next 6 months. This is a great follow up tool for those you may or may not know are going to be needing your services.

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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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• The content that they generate to send to our clients is relevant and the clients want to engage with us. It makes us appear more professional and consistent, even though we are a smaller company.
• It helps us stay in touch with clients and helps us stay top of mind. We are able to generate more new business leads if we are in consistent contact with current, former, and potential clients.
• Their customer service and support is outstanding. All my questions were answered and I went into the program feeling confident and knowledgeable.

• 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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• I do not like the use of drawings to attract new customers, and they have ignored my requests to eliminate that for my personal emails.
• I do not like it when a competitor in my immediate market has the same posts. It cheapens the service or makes it appear that I am simply sharing another's post.

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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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The biggest issue is poor ROI. The second biggest issue is rigid customer service process, lack of a sense of urgency, and inability to reach out to upper management with issues.

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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Overall, OutboundEngine is very user friendly. It is simple to set up and explore, and if there are any issues or questions, the customer service team and account managers are always available to help. They are very knowledgeable and were able to explain everything in detail to me. The program is easy to navigate and helps me stay organized, and an uncomplicated and straightforward solution was exactly what I was looking for

I haven't had to contact Outbound Engine because I haven't had any application errors or unplanned outages. I basically have had such a trouble free experience with them that I haven't had to call. Everything is automated and I get a notice to review every isse. I suppose if I personalized the newsletter a bit more and added some of my own articles, I would need to contact them, (which I should really start to do) but so far things have been so on point, I haven't felt the need.

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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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The customer service was excellent! Everyone I spoke to was kind and knowledgeable. My account manager was easily reachable. Setup of the OutboundEngine program was explained really thoroughly, and we knew how we could best use the product to meet the needs of our clients and get our online and social media presence off the ground.

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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I selected it for the ability to have an automated system do 3 things all at once, social media posts, emails and the instant communication with the chat box. I have never seen a chat come through that lead to a helpful client touchpoint. I have never used another product but have since begun to weigh some of the less expensive options.

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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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• One client identified how one article I sent that he read saved him from having to replace his entire AC system.
• One client actually thought I was sending this to him personally because I valued him
• One of the above transacted with me twice for over $3M in sales

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