Algolia Reviews & Product Details

I love the fact that,at its premise, it's simply fast search over small JSON payloads.

Getting some of the finer details to work can be really tricky. The size limitations is a big sticking point, and breaking up larger objects into a single entity feels like something that should be managed within the SDK itself.

I'm using Algolia to build several geolocating websites, as well as a product support site for a database platform.

Java, JavaScript, Ktlin and Zendesk are just some of the solutions with which I have an excellent integration with Algolia, there are many more integration options that I am currently working with and I can continue adding many more integrations without problems, I just need to send a message to the support of Algolia and they kindly provide me with the tools to integrate them. By requesting support help I can complete the most complex tasks in just a few minutes or depending on the complexity of the integration in a few hours.

They must add many more customization features and they must modernize their platform, sometimes I dislike their outdated look.

The positive since we started using Algolia in the company are summarized in two things, the search patterns and the customer experience. It is very simple when the client is satisfied, all the members of my team are also satisfied, Algolia allows us to improve and automate our search engine in a few days.

I like that it is very easy to use and add information, in addition the platform is very intuitive and the searches are very fast. The technical support service responds to us very quickly and resolves problems immediately, the truth is very responsible.

Algolia developers thought of everything, because so far we have not seen errors. They may exist, but we are very happy with this software and we would like it to continue that way.

I love that we are better known every day, because our reputation increases as we enter new products and our customers find their specifications without many complications, because the search engine is very fast and the interface builds confidence, I think it is perfectly made for the user .

The developer tools and easy integration w Heroku allowed us the ability to launch quickly.

The initial testing plans were I believe a little pricey but I believe they have new plans now that accommodate for this.

Searching through ecommerce products can be intense and finding the best related product helps us generate revenue quickly.

No real set up from a dev perspective and is incredibly fast. The apis and tools make for real ease of integration with very little effort.

The pricing is steep as the number of documents and collections increase. The initial design was kind of ugly but since then the improvements have been consistent and nice to look at.

The search we run is lightning fast and reliable. The cost to integrate into our app is incredibly low.

I have used various search systems including Sphinx, Solr, direct DB integrations etc. but nothing has been as robust and performant as Algolia. It just works very well.

At this time we have nothing to critique as it's perfect for our needs.

A portion of our infrastructure was used for search which we were able to swap out with Algolia.

Simply put, it saved us a heap of development time and budget. We could focus on other components knowing the search was sorted.

Customizing it to run some api operations requires some skills; still working out how we can do that better.

We had to get to market quickly and it saved us development time and money.

I'm impressed with Algolia's search speed when entering product information. We have several thousand products and the search engine responds almost simultaneously as our customers type characters.

The cost is a little high. The pricing tiers are nice but the thresholds are set too low. Currently, our website is for niche products. I could see it getting quite expensive on more popular websites.

Our customers can find what they're looking for easily and quickly. I think a responsive website translates to a higher level of professionalism and ultimately trust in our products. Showing the product image and displaying the price also improves our customers experience. One of the intangible benefits from this is it reduces calls to our customer service. Finally, it's helpful to know which products our customers search for the most. We pay close attention to what our users look for so that we can focus on those products specifically. In many cases where a customer didn't purchase our product after searching, we found that the image or text on the product was confusing or incomplete. We have had several instances where, after improving the product description or image, sales on their product increased.

Vendor relationships always tend to promise more than they deliver. This is one of the first one that has delivered as much (or more!) than was promised. I'm amazed at the performance of the Algolia system. Blazing fast, accurate, relevant, immediately updated, elegant, easy to implement, a breeze to customize. It really couldn't be much better.

Not much. There were a few small gaps in the documentation, but that has been the extent so far of anything negative.

The motivator for switching to Algolia was the expiration of our Google Search Appliance. However, now that we've switched, I'm wishing we'd made the jump a lot sooner. What a great platform! Our users are experiencing DRAMATIC improvements in search speed and relevance, and we're looking at all sorts of ways to leverage Algolia for other business needs, from personalization to content categorization.

- Easy of use. We (2 developers) had no experience with search indexes before, but got up and running in 2 hours, backend and frontend. - Performance. We still have few users, but searching 15k records takes 4ms on average. 40ms max. - Pricing is OK. Other search platforms like Elastic Search will cost you less per number of records indexed, but you have to manage more stuff by yourself to keep everything in good shape.

Documentation lack some real world examples and best practices, like how to keep a Postgres DB in sync with Algolia. Free as starter tiers have low records limit (10k and 50k). We have a few concerns about securing data. Some real case scenarios in the Docs would also help us. Like, what are the guidelines to implement Algolia to index sensitive information?

We have a SaaS and Algolia is currently being used for searching people records. Performance is great. We intend to use it in more places in the future.