61–70 of 111 posts
I've actually been avoiding using Algolia after I used IndexTank and then they were acquired by LinkedIn. (I always said grats diego + team at IndexTank) but it was a frustrating experience to need to role up everything and pack up shop. Seeing a huge raise like this actually makes me feel better about the possibility of using Algolia rather than rolling my own Solr containers.
Algolia is an amazing service and an absolute joy to use. They deserve all the praise they're getting and then some. However, it's easy to exceed their record limits, especially since you need to duplicate your index every time you want to 'sort by' something. For instance, if I wanted an option to sort my results by date, and to then search these, I'd need to create 2 new slave indexes for date ascending and descend…
especially if you have records that not even change often.
If you have 300,000 items in an index that you want to sort in 4 ways and want to update eg the price daily, you already consumed 36 million operations of the biggest non enterprise plan that includes 50 million operations.
Just by testing and tweaking the index every other day, we already use up to 500,000 operations.
But then again setting up search infrastructure in different countries and synching it in realtime also comes at a hefty price. So we will stick with Algolia for now, the speed is breathtaking and we will never be able to achieve 20ms responses with eg an Elasticsearch cluster.
Algolia is an amazing service and an absolute joy to use. They deserve all the praise they're getting and then some. However, it's easy to exceed their record limits, especially since you need to duplicate your index every time you want to 'sort by' something. For instance, if I wanted an option to sort my results by date, and to then search these, I'd need to create 2 new slave indexes for date ascending and descend…
If you pay for a million records, you should be able to store a million records.
We are currently in beta and our website is not fully up but the demos give an idea of what is possible.
Algolia is an amazing service and an absolute joy to use. They deserve all the praise they're getting and then some. However, it's easy to exceed their record limits, especially since you need to duplicate your index every time you want to 'sort by' something. For instance, if I wanted an option to sort my results by date, and to then search these, I'd need to create 2 new slave indexes for date ascending and descend…
Yes, especially if you have records that not even change often. If you have 300,000 items in an index that you want to sort in 4 ways and want to update eg the price daily, you already consumed 36 million operations of the biggest non enterprise plan that includes 50 million operations. Just by testing and tweaking the index every other day, we already use up to 500,000 operations. But then again setting up search in…
Why not? Assuming good hardware, why isn't that possible?
Guess I always assumed Algolia wasn't anything special. Anyone know what exactly makes it worth so much?
They are one of the very few companies in that space which still develop their own search technology instead of just adopting and mixing available open source packages. Most other search software these days runs on some flavour of Lucene and rightfully so IMO because Lucene is a rock solid piece of software. This means that creating a defensible USP in that space isn't easy. Algolia did it by essentially developing t…
Earlier quoted context omitted.
They are one of the very few companies in that space which still develop their own search technology instead of just adopting and mixing available open source packages. Most other search software these days runs on some flavour of Lucene and rightfully so IMO because Lucene is a rock solid piece of software. This means that creating a defensible USP in that space isn't easy. Algolia did it by essentially developing t…
plus, from the reading I did, the founders have been working in the search space for a long time and really seem to know what they're doing. Lucene is great, but, it does have limitations: tough to embed in non-JVM applications and poor support for tokenizing things like emojis are two immediate things that come to mind. Elasticsearch is maybe my favorite data storage product in the last 15 years, but the Algolia fol…
Algolia is an amazing product. I've used it on several projects over the past few years and the performance & ease of use is top notch.
Allez les gars !