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Algolia raises $110M for its search-as-a-service

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Re: Algolia raises $110M for its search-as-a-service

#61

Earlier quoted context omitted.

Maybe Elastic isn't growing because Algolia is eating their lunch?

elastic isn’t competing with algolia, imo. elastic is after the enterprise customers who have a mission-critical need for search (rather than a casual need like algolia users) but I think mission-critical search is a niche technical problem that isn’t applicable to many enterprises.

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.

Re: Algolia raises $110M for its search-as-a-service

#62

Earlier quoted context omitted.

elastic isn’t competing with algolia, imo. elastic is after the enterprise customers who have a mission-critical need for search (rather than a casual need like algolia users) but I think mission-critical search is a niche technical problem that isn’t applicable to many enterprises.

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".

Re: Algolia raises $110M for its search-as-a-service

#63

Earlier quoted context omitted.

elastic isn’t competing with algolia, imo. elastic is after the enterprise customers who have a mission-critical need for search (rather than a casual need like algolia users) but I think mission-critical search is a niche technical problem that isn’t applicable to many enterprises.

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.

Correct. Elastic competes more with Splunk or Sumologic than it does with Algolia or open-source Lucene/Solr. It's nominally a traditional ecommerce/enterprise search engine as well, but it's not terribly good at it.

Re: Algolia raises $110M for its search-as-a-service

#65

Congrats to the team! Although, am I the only one who finds that searching HN through Google gives better results than searching it through the Algolia powered HN search? For example, search "ml" in both, Algolia results are years old and don't seem that relevant, whereas Google picks up more recent threads.

I came to this discussion just to say something similar. Algolia doesn’t seem to be great for HN, and off late I see it not loading search results (maybe something to do with my network, browser and the site) or being quite slow compared to say, Google Search.

Re: Algolia raises $110M for its search-as-a-service

#66

Earlier quoted context omitted.

> you’d already have to hire pretty much all the same staff This is terribly wrong. It's like saying you need as many people to setup Solr/ElasticSearch as you'd need to build a custom search engine. It requires considerably fewer people to setup, manage, and optimize Algolia than it does to setup, manage, and optimize ES. Case in point, Twilio.

You’re not even addressing the engineering costs though. The portion of cost of a search engine solution attributable to the set up of Elastic Search is basically zero. The cost is understanding if the search surfaces relevant items for the specific use case, including asymmetric costs for surfacing bad items in many use cases. Not to mention that plug and play third party solutions like Solr / ES are highly inapplic…

Why do you buy clothes when you could just make them yourself?

Re: Algolia raises $110M for its search-as-a-service

#67

Earlier quoted context omitted.

elastic isn’t competing with algolia, imo. elastic is after the enterprise customers who have a mission-critical need for search (rather than a casual need like algolia users) but I think mission-critical search is a niche technical problem that isn’t applicable to many enterprises.

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.

Then they are in huge trouble because Kibana is hot garbage. Nearly zero of the user experience goodness from Kibana3 has survived the Elastic aqui-hire.

Re: Algolia raises $110M for its search-as-a-service

#70
post #19

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…

> you’d already have to hire pretty much all the same staff

I don't know what most Algolia customers are like, but we have been using them for a long time and we are a team of... 2 (only 1 being a technical person).

So hiring a whole team to work on search is certainly not an option for everyone. By paying $29 / month and spending a couple of hours on integration, you get a working search that most small shops will be happy with. That sounds like a valuable proposition to me.

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