Algolia vs. Dynamic Yield

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Algolia
Score 8.9 out of 10
N/A
Algolia in San Francisco, California offers enterprise search as a service.
$0
per month 10,000 search requests + 1 Million records
Dynamic Yield
Score 9.1 out of 10
N/A
Dynamic Yield is presented as an AI-powered Experience Optimization platform that delivers individualized experiences at every customer touchpoint: web, apps, email, kiosks, IoT, and call centers. The platform’s data management capabilities provide for a unified view of the customer, to allow the rapid and scalable creation of highly targeted digital interactions. Marketers, product managers, and engineers use Dynamic Yield for: Launching new personalization…N/A
Pricing
AlgoliaDynamic Yield
Editions & Modules
Build
$0
per month Up to 10,000 search requests + 1 Million records
Grow
$0.50
per month per 1,000 search requests
Algolia Recommend
$0.60
per month per 1,000 Recommend requests
Premium
Custom
per month Customized pricing
No answers on this topic
Offerings
Pricing Offerings
AlgoliaDynamic Yield
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsPay as you go, scale instantly, or upgrade anytime for advanced features and capabilities.
More Pricing Information
Community Pulse
AlgoliaDynamic Yield
Top Pros
Top Cons
Best Alternatives
AlgoliaDynamic Yield
Small Businesses
Elasticsearch
Elasticsearch
Score 8.4 out of 10
Kameleoon
Kameleoon
Score 9.5 out of 10
Medium-sized Companies
Guru
Guru
Score 9.0 out of 10
Kameleoon
Kameleoon
Score 9.5 out of 10
Enterprises
Guru
Guru
Score 9.0 out of 10
Kameleoon
Kameleoon
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AlgoliaDynamic Yield
Likelihood to Recommend
8.7
(44 ratings)
9.3
(99 ratings)
Likelihood to Renew
9.7
(4 ratings)
10.0
(5 ratings)
Usability
6.0
(1 ratings)
7.5
(18 ratings)
Availability
9.6
(5 ratings)
-
(0 ratings)
Performance
9.4
(5 ratings)
-
(0 ratings)
Support Rating
5.8
(3 ratings)
10.0
(47 ratings)
Product Scalability
9.4
(5 ratings)
-
(0 ratings)
User Testimonials
AlgoliaDynamic Yield
Likelihood to Recommend
Algolia
Algolia offers a wide range of capabilities that can benefit any business by addressing their specific requirements. Integrating with this platform is seamless, and their extensive knowledgebase and training resources are highly valuable for both developers and UI users. We have already witnessed the advantages of this product and are eagerly anticipating future enhancements as we continue to expand our platform, with Algolia as our primary tool for enhancing our search experience.
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Dynamic Yield by Mastercard
Dynamic Yield is great for just about any sized organization, though to get the best bang for your buck, I recommend having a front-end web developer well-versed in JavaScript. Additionally, a front-end web designer would be advisable as well as their templates have great functions but some have lackluster UI's that can't be tweaked without developer assistance. Were it not for the above + the occassional slowness on the console/admin-side of the platform, I'd give it a 10. If you have a front-end dev/designer, then it's closer to a 9.5. Ideal utilization scenarios could include: Personalization, CRO/UX/UI testing, and audience or user-level tailored digital experience.
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Pros
Algolia
  • Easy setup and configuration of fast search results across multiple types of object
  • Can be used to power sales pages, category headings, category product listings, help articles and more within the same search results
  • Managing synonyms, blocked words and other product requirements can be done without engineering support
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Dynamic Yield by Mastercard
  • Provide fantastic support, both in relation to strategy/best practice and troubleshooting.
  • An easy to use interface, as a user who is relatively new to Dynamic Yield I find that it is an intuitive platform to use.
  • The ability to segment and drill down on data allows for really specific insights which, whilst not necessarily being leveraged on a testing basis, can be super valuable from a greater marketing perspective.
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Cons
Algolia
  • Recent pricing model changes made Algolia considerably more expensive. I understand that companies change their models all the time, but my plan almost doubled in price overnight. They let me keep my legacy plan for as long as I wanted, but I had already outgrown it, so a small increase in demand caused big price spikes. It's still cheap for what it is though.
  • The documentation is generally good, but sometimes hard to navigate. I was trying to find examples of how to combine geo-queries with normal ones, and I couldn't find an example, but it wasn't actually hard to figure out.
  • Some of the advanced features can be hard to understand at first. This isn't really a con, as it just means Algolia is loaded with features, but I was a bit overwhelmed the first time I tried to customize an index.
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Dynamic Yield by Mastercard
  • The impact (either positive or negative) of potentially overlapping campaigns, especially the UX personalization or custom code campaigns, may not be easily identifiable.
  • It would make more sense for the new deep-learning and machine learning (ML) driven strategies be made part of the standard offering, as opposed to positioning them as add-on subscription, given that many other completing services are baking in ML as part of their platform evolution.
  • The documentation on the API and custom code implementation can be fleshed out further.
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Likelihood to Renew
Algolia
Algolia is a great tool, we didn't have to build a custom search platform (using Elasticsearch for example) for a while. It has great flexibility and the set of libraries and SDKs make using it really easy. However, there are two major blockers for our future: - Their pricing it's still a bit hard to predict (when you are used to other kind of metrics for usage) so I really recommend to take a look at it first. - Integrating it within a CI/CD pipeline is difficult to replicate staging/development environments based on Production.
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Dynamic Yield by Mastercard
implementation took a long time but also, DY has really proven that they are transforming and adapting their platform to be more user friendly and the right technology choice for their brand or company
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Usability
Algolia
Algolia has a good interface and they have done some improvements. However, some non technical users have a challenging time in the use for the first days of learning. But once the main aspects are learned is a straight forward operation
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Dynamic Yield by Mastercard
Setting up strategies, audiences, and experiences is simple and fast. It is incredibly easy to modify the appearance of your site and optimize every aspect with the Dynamic Yield Personalizations. However, while the data visualization on an experience level is easy to modify and analyze, exporting the data in meaningful ways is time consuming.
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Reliability and Availability
Algolia
Having used Algolia for over 5 years we have experienced zero downtime. I'd say that's pretty good.
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Dynamic Yield by Mastercard
No answers on this topic
Performance
Algolia
Performance is always a major concern when integrating services with our client's websites. Our tests and real-world experience show that Algolia is highly performant. We have more extremely satisfied with the speed of both the search service APIs and the backend administrative and analytic interface.
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Dynamic Yield by Mastercard
No answers on this topic
Support Rating
Algolia
It’s non existent. No tech support and no customer service… my application was blocked and is currently inactive causing huge business disruption, and I’m still waiting days later for a response to an issue which could be resolved very very quickly if only they would respond. Very poor from a company of that size
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Dynamic Yield by Mastercard
Overall, the support is very good. If you are a partner (my case), they assign you a customer success manager, that helps a lot. Also, there is a technical person to provide support to the partners, again a great help.
My only "complain" is that with some complex issues, the support may delay in providing you with a solution. Sometimes that can cause some tension with your client.
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Alternatives Considered
Algolia
While AWS's offering is a typically cheaper solution, it requires a lot of work to gain any of the core features of Algolia. The cost of dev time and long-term maintenance would be more than the costs incurred with Algolia, which is why it made the most sense financially. On the engineering side, we could give our stakeholders access to Algolia to adjust the indices themselves, which would allow us to focus on other work.
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Dynamic Yield by Mastercard
  • Oracle Maxymiser is very clunky and hard to code with. Previewing changes was a challenge and development for fixes were slow
  • Optimizely - Great for coding. Fast and efficient. Everything worked great. They were limited at personalization triggers though and their costs were expensive.
  • Monetate - Evaluated but their UI was hard to use.
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Scalability
Algolia
Overall is a scalable tool as the environment and the backend functions are the same and many things are done directly on the tool so without the need of further specific developments. However some things could be improved such as documentation for integration that could help in doing whitelabel solutions
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Dynamic Yield by Mastercard
No answers on this topic
Return on Investment
Algolia
  • Users who had abandoned our product (attributing slow search speeds as the reason) returned to us thanks to Algolia
  • We used Algolia as our product's backbone to relaunch it, making it the center of all search on our platform which paid off massively.
  • Considering we relaunched our product, with Aloglia functioning as its engine, we got a lot of press coverage for our highly improved search speeds.
  • One negative would be how important it is to read the fine print when it comes to the technical documentation. As pricing is done on the basis of records and indexes, it is not made apparent that there is a size limit for your records or how quickly these numbers can increase for any particular use case. Be very wary of these as they can quite easily exceed your allotted budget for the product.
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Dynamic Yield by Mastercard
  • Most tests have had a positive impact on either revenue or conversion rate - quite often in double digits.
  • Dynamic Yield has also helped us to stop some particular initiatives through direct interaction with the customer base via questionnaires or by a test proving negative quicker than rolling out a permanent feature.
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ScreenShots

Algolia Screenshots

Screenshot of Index & Query Rules Management: Query Rules helps to enhance an engine's ranking behavior for specific queries. Setting up rules can uncover and enable users to respond more specifically to the intent behind users' queries.Screenshot of Query Monitoring: Offers insight into the status, performance and overall activity happening within the search engine.Screenshot of Algolia Analytics: The search bar is a feedback form. Algolia's analytics drives insights from search to click to conversion.Screenshot of Algolia Dashboard: Products to accelerate search and discovery experiences across any device and platform.Screenshot of Advanced front-end libraries, API clients, and extensive documentation to help developers build, deploy, and maintain.Screenshot of To get started users simply choose an index, denote the events, and choose a model.

Dynamic Yield Screenshots

Screenshot of The Dynamic Yield Dashboard, which offers a high-level overview of personalization campaigns, site performance, audiences, product updates, and more. With customers building and managing dozens, sometimes even hundreds of concurrent campaigns, the Dynamic Yield dashboard provides a snapshot of key information and surfaces items for potential optimization from campaigns that require action.Screenshot of Dynamic Yield's customer segmentation engine, used to unify customer data across digital and offline touchpoints. Data can be onboarded from multiple sources to create one cohesive dataset from which to power experiences. Users can collect, store, categorize, and synchronize data from a CRM, ESP, DMP, APIs, or POS.Screenshot of The interface to create cross-touchpoint personalization campaigns and experiments at scale. Users can coordinate independent personalization experiences to deliver a cohesive, consistent customer journey from start-to-finish.Screenshot of Dynamic Yield's Predictive Targeting capabilities, which provides machine-learning optimization. Dynamic Yield’s Predictive Targeting engine will continuously analyze and identify opportunities to serve the most relevant content for each audience segment.