Likelihood to Recommend
If you have a dedicated developer who has the technical know-how to delve deep into Algolia's documentation to figure out what makes it tick, this is the product for you. Algolia's framework is extremely powerful, making search instantaneous and providing users with results at break-neck speeds. If all you need is great search, but you do not require a complex relevancy algorithm running it, Algolia will work well for you. The more complex your use case, the more expensive the product becomes.
Program Manager in Product ManagementHuman Resources Company, 11-50 employees
Incredibly robust software for an enterprise organization to plug into their application. If you have a full development resource team at your disposal, this is great software and I highly recommend it. Largely, however, you won't be able to use this prior to the enterprise level. It's just too complicated and cumbersome of a product.
- Algolia is brain-dead simple to set up. I've implemented search with Algolia in a dozen different ways now, and it never took me longer than a few minutes to get the functionality I want. With Algolia, the only challenge is designing your search UI -- if you don't want to use their baked in UI solutions.
- Results come back incredibly fast. I'm not sure how Algolia does it, but every keystroke I make in a search field returns new results instantly. It's hard to believe that I'm searching large datasets on a remote server when it works so fast.
- Very little customization is needed for 99% of use-cases. Algolia's out of the box setup works great, and it takes no prior knowledge to set up.
- Azure Search provides a fully-managed service for loading, indexing, and querying content.
- Azure Search has an easy C# SDK that allows you to implement loading and retrieving data from the service very easy. Any developer with some Microsoft experience should feel immediate familiarity.
- Azure Search has a robust set of abilities around slicing and presenting the data during a search, such as narrowing by geospatial data and providing an auto-complete capabilities via "Suggesters".
- Azure Search has one-of-a-kind "Cognitive Search" capabilities that enable running AI algorithms over data to enrich it before it is stored into the service. For example, one could automatically do a sentiment analysis when ingesting the data and store that as one of the searchable fields on the content.
- Algolia can be a bit complex -- for smaller companies or companies without many tech resources, it may be difficult to implement and use without the help of a third party
- Manually manipulating search results (for specific queries having listings show up first) is a bit difficult to do without custom developing that functionality
- It's an enterprise level product so you need to have the budget for it.
- Challenging-to-impossible for a non-technical administrator to implement.
- It further locks you into Microsoft's ecosystem and doesn't play well with non-Microsoft software. Depending on your point of view, this can be a pro or a con.
Based on 2 answers
We did have one occurrence where we maxed out our plan and the service didn't respond well. This is probably a very common scenario and it took half a day to get things back to normal with slow response time. Price is also a consideration. If you are restrained in that sense you might want to dedicate the time to having your own setup from the get-go.
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Algolia at first seemed and proved to be the fastest compared to the other search engines. It is very easy to implement. Also, it had a 24x7 support which proved to be very useful. It is also useful for all types of clients weather it be organizations or individuals. It can also handle typos. It also focuses on features like API and SSL Security. Also, it is designed to search records, not pages. These were some of the reasons we went ahead with Algolia.
Analyst in Information TechnologyFinancial Services Company, 10,001+ employees
As I've mentioned, the biggest competitor to Azure Search is actually Azure SQL Database. It doesn't have as many features, but it's more economical and most .Net applications will have one already. As long as you can arrive at a schema and ranking strategy, it's a "good enough" solution.There are a variety of search technologies (Lucene, Solr, Elasticsearch) that implement a search service. Some of them are even open source, though I would only say "free" if you do not value your time. They most likely need to be hosted via Container (or VM if you're old school), so you're incurring DevOps costs to not only set them up but monitor and maintain them yourself.
If you're already on AWS, there is almost no reason to use Azure Search. Unless you're already multi-cloud, desperately need the cognitive abilities, and don't mind a potential performance hit from looking across datacenters (hey, it could happen), you should probably just use Amazon CloudSearch.
Return on Investment
- It's too early to measure any increase in our transactions
- We have good customer feedback on the Algolia search function
- We are looking at other apps in development where we can also leverage the power of Algolia
C-Level Executive in Information TechnologyFinancial Services Company, 51-200 employees
- Our internal market research illustrates that users are finding their desired information faster on account of autosuggest.
- Time spent on checkout page (for conversions) is significantly decreased.
- Clicks required on checkout page (for conversions) is significantly decreased.
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