What users are saying about
18 Ratings
Top Rated
154 Ratings
18 Ratings
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Score 8.8 out of 100
Top Rated
154 Ratings
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Score 8.7 out of 100

Likelihood to Recommend

Algolia

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.
Anonymous | TrustRadius Reviewer

Elasticsearch

Elasticsearch's best use case is when you want to store loosely-structured data and be able to search for it near-instantly. And you want to do that in a highly tolerant distributed system. My company doesn't use it this way but I've heard of other companies using ES to store system logs. Another company uses it to store giant store-catalogs.
Anonymous | TrustRadius Reviewer

Pros

Algolia

  • 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.
Eli Allen | TrustRadius Reviewer

Elasticsearch

  • Super-fast search on millions of documents. We've got over 2 billion documents in our index and the retrieve speeds are still in the < 1-second range.
  • Analytics on top of your search. If you organize your data appropriately, Elasticsearch can serve as a distributed OLAP system
  • Elasticsearch is great for geographic data as well, including searching and filtering with geojson, and a variety of geospatial algorithms.
Anatoly Geyfman | TrustRadius Reviewer

Cons

Algolia

  • 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
Michael Riess | TrustRadius Reviewer

Elasticsearch

  • Setting Java memory thresholds can be a pain for those not accustomed to things like Eden Space & Old Generation which can lead to over allocation, or more likely, under allocation. Apache Solr had a similar issue. It would be nice if the program would take an extra step and dogfood it's own advice by analyzing the system & processes to return a solid recommendation for that configuration. The proper configuration information is outlined in the documentation, it would be nice if that was automated.
  • The only health check that ElasticSearch reports back is a "red" status without any real solid information about what is going on, though its usually memory thresholds or disk I/O. I am currently on ElasticSearch 1.5 so that may have changed for newer versions. When the status goes "red", I as the administrator of the software, feel like I lose control of whats going on which should rarely happen. Something more verbose would eliminate that.
  • This is more of a critique of the ElasticStack in general. The whole top to bottom stack is starting to get feature creep with things that are better suited in other software and increasing the barrier for entry for people to get started with setting up a robust logging infrastructure. ElasticSearch as a storage search engine, is pretty streamlined, but I can see that the tools that comprise the ELK Stack are going to require a certification with constant study at some point. During major release for Logstash a while back, it literally took a month to learn a new language because Elastic completely changed the syntax. For a medium sized organization of only a couple of admins, that is a pretty high bar where time is money. They really should work on refining/automating the tools & search engine they have, instead of shoehorning/changing things on to an already rock solid foundation.
Colby Shores | TrustRadius Reviewer

Likelihood to Renew

Algolia

No score
No answers yet
No answers on this topic

Elasticsearch

Elasticsearch 10.0
Based on 1 answer
We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.
Aaron Gussman | TrustRadius Reviewer

Usability

Algolia

No score
No answers yet
No answers on this topic

Elasticsearch

Elasticsearch 10.0
Based on 1 answer
To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching.If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
Anonymous | TrustRadius Reviewer

Support Rating

Algolia

Algolia 9.0
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.
Sagiv Frankel | TrustRadius Reviewer

Elasticsearch

Elasticsearch 7.5
Based on 12 answers
We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.
Anonymous | TrustRadius Reviewer

Implementation Rating

Algolia

No score
No answers yet
No answers on this topic

Elasticsearch

Elasticsearch 9.0
Based on 1 answer
Do not mix data and master roles. Dedicate at least 3 nodes just for Master
Anonymous | TrustRadius Reviewer

Alternatives Considered

Algolia

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.
Anonymous | TrustRadius Reviewer

Elasticsearch

As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.
Anonymous | TrustRadius Reviewer

Return on Investment

Algolia

  • 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
Anonymous | TrustRadius Reviewer

Elasticsearch

  • Faster searches on our application have resulted in better usability and increased application use
  • Analytics dashboard has given our managers a better understanding of day-to-day activities
  • Being a backup data store, we need not touch SQL database while doing data dumps for local data science projects
Swastik Nath | TrustRadius Reviewer

Screenshots

Pricing Details

Algolia

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Optional
$29*

* per installation

Algolia Editions & Modules

Edition
Free$01
Standard$12
Premium1.502
OEM PricingContact sales team
  1. per month
  2. per unit/per month
Additional Pricing Details

Elasticsearch

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Elasticsearch Editions & Modules

Edition
Standard$16.001
Gold$19.001
Platinum$22.001
EnterpriseContact Sales
  1. per month
Additional Pricing Details

Add comparison