91–100 of 115 posts
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Elastic is not even after the search market, but the analytics/loggin/reporting sector. Of course, they are after every customer, but one Elastic rep told me that 75% of customers are not using Elasticsearch for traditional search.
Thus the change of name, dropping "search".
Incase someone doesn't know already: they have a HN search too! https://hn.algolia.com/
search for e.g 'microsoft' -> ~120k results change sort by popularity to sort by date -> ~30k results I don't really understand how sorting can affect the number of results. Btw youtube search does this too.
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I’m saying in my experience there is no such thing as one singular “decent solution” for search. It varies enormously from use case to use case, customer cohort to customer cohort, etc. To even know if you’re buying a decent solution from Algolia or not, you’d already have to hire pretty much all the same staff you’d have to hire to more cost-effectively build it in-house. I think the fundamental myth, just like with…
I am not trying to be flippant, but maybe you are misunderstanding what Algoia provides? Let's say I have an eCommerce platform. The search provided by the framework is slow and I want to put together an instant search feature. It's too slow, and I don't have a search specialist to speed it up. So I add the Algoia plugin to the platform, sync my products and the work is done. Literally, real world example, install th…
This was a major selling point for us when we switched to Algolia. The business people want to be able to manage things like search without having to go through the programmers, just like they manage GA/GTM and such.
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You are absolutely factually correct in your analysis, but you are completely missing how business works. Fundamentally, there is value to most businesses in being able to just buy a decent solution to a non core competency. That’s where Algolia and AWS and basically all service companies come in... a medium scale clothing manufacturer with a booming e-commerce site may well know they have no clue how to do search, a…
In my consulting I switched from rolling out ElasticSearch on Azure, AWS or on-prem to Algolia and couldn't be happier. I want to scope and build products and not be a sysadmin - clients don't want to do any of it, let alone hiring fulltime sysadmins. I have one client in particular that is a stark indicator of this trend - 50+ year old company and their second floor where they used to have 30+ developers and sysadmi…
The homepage is great from a developer perspective, select your backend on the left, frontend on the right, and you get an idea right away of what a basic implementation looks like. Very clever.
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In my consulting I switched from rolling out ElasticSearch on Azure, AWS or on-prem to Algolia and couldn't be happier. I want to scope and build products and not be a sysadmin - clients don't want to do any of it, let alone hiring fulltime sysadmins. I have one client in particular that is a stark indicator of this trend - 50+ year old company and their second floor where they used to have 30+ developers and sysadmi…
What happens if Angolia goes down the tube?
What happens if AWS goes down the tube?
In both cases you complain, hire some people and replace that bit with something else.
Earlier quoted context omitted.
You are absolutely factually correct in your analysis, but you are completely missing how business works. Fundamentally, there is value to most businesses in being able to just buy a decent solution to a non core competency. That’s where Algolia and AWS and basically all service companies come in... a medium scale clothing manufacturer with a booming e-commerce site may well know they have no clue how to do search, a…
I’m saying in my experience there is no such thing as one singular “decent solution” for search. It varies enormously from use case to use case, customer cohort to customer cohort, etc. To even know if you’re buying a decent solution from Algolia or not, you’d already have to hire pretty much all the same staff you’d have to hire to more cost-effectively build it in-house. I think the fundamental myth, just like with…
In both cases they are great 80/20 solutions (actually Algoria is more like a 95/5 solution in most cases).
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Sounds like a good case for Algolia Professional Services! (If this exists?) I remember pushing Google's search appliance for a large media company some 10 years ago or so (no benefit to myself though, which was pretty noob). It made sense at the time, and solved something for them better than they probably would have implemented it themselves in a good enough way. The most complicated part was setting up rules about…
Except this would be prohibitively expensive. The labor cost of those specialized employees as consultants would be huge.
I’ve always had a hard time understanding the value proposition in the same way I don’t understand the value proposition of e.g. AWS Rekognition. Paying per use certainly doesn’t make sense, because it has to be qualified by the accuracy you get per use. And there’s no serious way to understand the accuracy you get per use (on your specific unusual distribution of queries) without employing the expensive ML / stats e…
But as an unabashed Angolia devotee, I think the value prop of InstantSearch is a no brainer. It's worthwhile looking at the product itself, as an almost textbook example of how to package services to enterprise customers.