On their website [1], they make it look like WhatsApp, Slack, and Instagram are all using their service, when in reality it's their own implementation of "similar" services. Seems fishy. [1] https://www.cloudboost.io/
Show HN: CloudBoost – Open-Source Parse, Firebase and Algolia Combined into One
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Re: Show HN: CloudBoost – Open-Source Parse, Firebase and Algolia Combined into One
#12Algolia's pitch is "much better results than you'd get from the average open-source search tool", not "hosted ElasticSearch". How does CloudBoost stack up? What special sauce makes this an open-source Algolia and not an ElasticSearch wrapper?
Re: Show HN: CloudBoost – Open-Source Parse, Firebase and Algolia Combined into One
#13Re: Show HN: CloudBoost – Open-Source Parse, Firebase and Algolia Combined into One
#14What do you guys use for the search? Regular MongoDB features? How do you handle typo-tolerance and prefix search?
Re: Show HN: CloudBoost – Open-Source Parse, Firebase and Algolia Combined into One
#15The description is misleading. Once you check the docs it becomes clear that it's not a drop-in algolia replacement.(i.e API comp)
Re: Show HN: CloudBoost – Open-Source Parse, Firebase and Algolia Combined into One
#16Has someone who has also used Deepstream.io compare the two?
I think Deepstream does Realtime and CloudBoost does a lot more - like Search, ACL's, RealTime, BLOB, JSON, and a whole lot more. You can also check out : https://cloudboost.io/compare
Re: Show HN: CloudBoost – Open-Source Parse, Firebase and Algolia Combined into One
#17Re: Show HN: CloudBoost – Open-Source Parse, Firebase and Algolia Combined into One
#18Not sure if it is the HN "hug of death", but I found the Cloudboost.io site quite slow to load up here. For a service touting scalability and fast performance, a slow marketing site doesn't lend to the credibility. Lets hope it is a temporary thing that will be resolved. I am excited by the project.
Edit: out of curiosity, I looked at the package.json of their open source project, there are 51 top-level dependencies. After installing, there's 140 MB of dependencies, or about 800k lines of JS.
Quality is fractal.
Re: Show HN: CloudBoost – Open-Source Parse, Firebase and Algolia Combined into One
#19Can you elaborate on how you use AI to build my apps ? I have a hard time imagining this.
Re: Show HN: CloudBoost – Open-Source Parse, Firebase and Algolia Combined into One
#20Algolia's pitch is "much better results than you'd get from the average open-source search tool", not "hosted ElasticSearch". How does CloudBoost stack up? What special sauce makes this an open-source Algolia and not an ElasticSearch wrapper?
Algolia is technically an ElasticSearch wrapper. We are too. :)