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.
Podium is well suited for several types of businesses. If you are an entrepreneur or small business owner, Podium would be a great way for you to ask that customers leave you a review online sharing their awesome experience. For medium to large businesses, Podium review invites can be automated through the company's customer management system, allowing the use of Podium to be simple and not timely, even with a large customer base. It may not be appropriate for a large company to manually send out individual review invites
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.
Maintains conversations indefinitely, so we are able to go back to confirm details from conversations.
Provides the ability for our company to have a 'team' messaging platform where we can communicate with one another via single person to a single person, groups where we can add/subtract members of the group... this is invaluable to our organization.
Until today(!), we could 'share' or forward a message to one another; oddly, that feature disappeared just today, so I'm hoping it's a glitch!
Account manager communications: I had been asking my Podium account manager for integration with our CRM tool for over 8 months before my account manager fell silent. After another 6 months, I proactively reached out only to find out that the integration had been in Beta for months and 8 other companies had already integrated. It was frustrating that my account manager did not remember a key request and make the Beta available to me the minute that it was open.
Again, Podium has been so wonderful in the year and a half we have been using it, we are able to integrate it with our CRM and use alot of the available features. The most helpful has been getting TONS of reviews on MULTIPLE sites through Podium!
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.
While giving our clients the ability to leave a review was there, we had much worse results and got fewer reviews through the Podium portal than we did by sending our clients simple email requests, or simply having our service staff ask for a review while still on the clients' job sites.
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.
I have to send an email to get information. They have a chat system but I end up having to go through my rep for account questions. It was a little frustrating to not have a direct phone number to call with questions. I would like to see a helpline added.
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.
We use Digital Air Strike at our two GM dealerships because it is one of a small list of reputation management companies authorized by GM as part of their SFE program. Digital Air Strike surveys our customers and invites them to write a review about our dealership. It is not as effective or flexible as Podium so we have been using Podium at those dealerships alongside Digital Air Strike. We also recently started a trial use of ReplyPro which is a service that monitors review sites and writes customized responses to positive reviews and suggested responses to negative reviews. I'd like to see Podium add this as part of their service so we can consolidate 3rd party vendors and manage every aspect of online reputation management from one place.
Its easy to scale to different departments as needed. We initially began using it to solve one problem and as new features became available it was easy to scale this and include other departments who could benefit from its tools
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.
I am glad there are card readers now, sales team members too often try to just send a request instead of taking payment onsite.
It's made capturing messaging leads much easier.
It's worth the cost but if it did a few more things it would be worth a lot more to us. Document signatures, surveying after jobs, even geotagging of photos/reviews for SEO
