What users are saying about
29 Ratings
184 Ratings
29 Ratings
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Score 9.3 out of 100
184 Ratings
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Score 8.5 out of 100

Attribute Ratings

  • Algolia is rated higher in 1 area: Support Rating
  • Algolia and Elasticsearch are tied in 1 area: Likelihood to Recommend

Likelihood to Recommend

9.0

Algolia

90%
12 Ratings
9.0

Elasticsearch

90%
46 Ratings

Likelihood to Renew

Algolia

N/A
0 Ratings
10.0

Elasticsearch

100%
1 Rating

Usability

Algolia

N/A
0 Ratings
10.0

Elasticsearch

100%
1 Rating

Support Rating

9.0

Algolia

90%
2 Ratings
7.8

Elasticsearch

78%
18 Ratings

Implementation Rating

Algolia

N/A
0 Ratings
9.0

Elasticsearch

90%
2 Ratings

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 is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly.Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly.Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it.Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.
Borislav Traykov | 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

  • As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
  • Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
  • Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.
Anonymous | 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

  • Joining data requires duplicate de-normalized documents that make parent child relationships. It is hard and requires a lot of synchronizations
  • Tracking errors in the data in the logs can be hard, and sometimes recurring errors blow up the error logs
  • Schema changes require complete reindexing of an index
Keith Lubell | TrustRadius Reviewer

Pricing Details

Algolia

General

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

Starting Price

$0 per month up to 10,000 records

Algolia Editions & Modules

Edition
Free$01
Algolia Search - Standard$12
Algolia Search - Premium$1.502
Algolia Recommend$0.603
  1. per month up to 10,000 records
  2. per month per 1,000 requests +1,000 records
  3. per month 1,000 requests
Additional Pricing Details
Pay-as-you-go-pricing Simple usage based pricing with no long term commitments. Volume discounts Discounts trigger as your usage grows, so you always get a fair price. Committed-use discounts Speak with Sales for access to discounts for committed usage.

Elasticsearch

General

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

Starting Price

$0

Elasticsearch Editions & Modules

Edition
Standard$16.001
Gold$19.001
Platinum$22.001
EnterpriseContact Sales
  1. per month
  2. none
Additional Pricing Details

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 7.8
Based on 18 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 2 answers
Do not mix data and master roles. Dedicate at least 3 nodes just for Master
Anonymous | TrustRadius Reviewer

Alternatives Considered

Algolia

Easiness to set up and maintain, our team at the moment we compared them was small and we were in an exploratory phase in the search engine feature. We needed to deploy something to our users quickly to start learning and avoid spending time in infrastructure configurations (like security) and Algolia provided all of this out of the box.
Mixer Gutierrez | 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

  • Algolia is very fast but also very expensive. However, the size of our organization is very huge, so cost is not much of a problem.
  • Algolia does not support iPhone and Android. This is a major issue, which is why we were considering moving to swiftype.
  • Since it has integration issues, we could not fully leverage the software.
Anonymous | TrustRadius Reviewer

Elasticsearch

  • We have had great luck with implementing Elasticsearch for our search and analytics use cases.
  • While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
  • We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.
Anatoly Geyfman | TrustRadius Reviewer

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