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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Algolia

    Score8.5 out of 10
    N/AAlgolia offers AI-powered solutions to improve online search and discovery experiences, with tools for business teams and APIs for developers that help to improve user engagement and conversions across websites, apps, and e-commerce platforms.

    $0

    for 10k search requests + 100k records per month

    AWS Elastic Beanstalk

    Score8.6 out of 10
    N/AAWS Elastic Beanstalk is the platform-as-a-service offering provided by Amazon and designed to leverage AWS services such as Amazon Elastic Cloud Compute (Amazon EC2), Amazon Simple Storage Service (Amazon S3).

    $35

    per month

    Elasticsearch

    Score8.5 out of 10
    N/AElasticsearch is an enterprise search tool from Elastic in Mountain View, California.

    $16

    per month

    Pricing
    AlgoliaAWS Elastic BeanstalkElasticsearch
    Editions & Modules
    Build
    Free
    Up to 10,000 search requests + 1 Million records
    Grow Plus
    Free to start, then pay-as-you-go
    10,000 search requests/month and 100,000 records included; $1.75 per additional 1K search requests and $0.40 per additional 1K records
    Grow
    Free to start, then pay-as-you-go
    10,000 search requests/month and 100,000 records included; $0.50 per additional 1K search requests and $0.40 per additional 1K records
    Elevate
    custom
    per year
    Elevate
    Custom
    Custom Custom search requests and records; volume-based discounts available
    No Charge
    $0
    Users pay for AWS resources (e.g. EC2, S3 buckets, etc.) used to store and run the application.
    Standard
    $16.00
    per month
    Gold
    $19.00
    per month
    Platinum
    $22.00
    per month
    Enterprise
    Contact Sales
    Offerings
    Pricing Offerings
    AlgoliaAWS Elastic BeanstalkElasticsearch
    Free Trial
    YesNoNo
    Free/Freemium Version
    YesYesNo
    Premium Consulting/Integration Services
    YesNoNo
    Entry-level Setup FeeOptionalNo setup feeNo setup fee
    Additional DetailsPay as you go, scale instantly, or upgrade anytime for advanced features and capabilities.——
    More Pricing Information
    Community Pulse
    AlgoliaAWS Elastic BeanstalkElasticsearch
    Considered Multiple Products
    Algolia
    Chose Algolia
    Doofinder may be more similar to Algolia, where you will have an all-in-one suite for search flows and maybe recommendation and browsing services. Including features for your team and also for all users. It doesn't require a lot of IT effort, but it's less customizable in terms …
    Incentivized
    Chose Algolia
    Mostly for instant search capability, then because SFCC option can be easier to use, but front end capabilities where not nice at the time we implemented it. Elasticsearch is more similar with database and index management, but was more expensive at the time + Algolia cartridge …
    Incentivized
    Chose Algolia
    Algolia works out of the box, you don't need to setup a lot to see how it works for you. Its also pretty flexible and customizable if you need to. With Elasticsearch you have to think about deployment strategies, where to host it, how to send data for it and build custom …
    Incentivized
    Chose Algolia
    Algolia prioritizes simplicity and quick setup, excelling in user-friendly search experiences. Elasticsearch offers versatility and complexity, suitable for intricate scenarios, while Amazon CloudSearch provides essential features and seamless integration within the AWS …
    Incentivized
    Chose Algolia
    Elasticsearch is its direct competitor, but I would say that it is more focused on performance and less focused on aesthetics and recommendations. If you are thinking of getting Algolia, I would recommend that you also compare it at least to Elasticsearch. Either one is a good …
    Incentivized
    Chose Algolia
    By far Elasticsearch is the prime competitor that comes into the picture when thinking about Algolia. Where Algolia surpasses Elasticsearch by miles is in performance. Algolia is search on steroids. However, Elasticsearch supersedes Algolia in terms of flexibility and cost. Elas…
    Incentivized
    Chose Algolia
    There are many open source search products available. Prior to Algolia, we used an in-house search system adopted from an open-source system. While this was nice in that we could modify it in any way we wanted, it also required dedicated engineering and setting up many …
    Incentivized
    Chose Algolia
    Offloading search logic to Algolia saved dev time and allowed our engineers to focus on higher-impact features instead of maintaining complex queries or custom search infra.
    Incentivized
    Chose 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 …
    Incentivized
    Chose Algolia
    There were few alternatives when we started by using Algolia and it was the better rated in terms of price & performance.
    Now there are more alternatives, but we keep algolia as is isolated from the rest of our stack so that we can have better performance & control.
    Incentivized
    Chose Algolia
    Algolia provides the best user experience, ease of integration and implementation, extremely high performance on large catalogs. The features offered are powerful and complete, with machine learning systems to improve result personalization. The service management can be done …
    Incentivized
    Chose Algolia
    Algolia got us up and running faster and more easily than if we'd managed elastic search and it's configuration by ourselves. Upfront and ongoing costs and complications/ custom implementations were removed from the equation by choosing Algolia out of the gate.
    Incentivized
    Chose Algolia
    Amazon is great for huge companies that have a team to support this feature in particular but if you are a small to medium business, Algolia is more manageable.
    Incentivized
    Chose Algolia
    At the time we did a TD on a number of different solutions, and Algolia was selected for its features and functionality. Why we couldn’t account for at the time was the lack of customer service and tech support, or problems that would regularly and repeatedly occur within their …
    Incentivized
    Chose Algolia
    Algolia works well in tandem with Magento and provides a large number of tools and features that provide greater control and adaptability as compared to other solutions we reviewed. Algolia has demonstrated its commitment to continual innovation, providing access to next-gen …
    Incentivized
    Chose Algolia
    Algolia does not require your own setup so we could get going fast. Algolia is known for being fast and highly available. It requires less domain knowledge. It is a lot more expensive though. Another plus is that is it very easy to sync data to it. You can backfill millions of …
    Incentivized
    Chose 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 …
    Incentivized
    Chose Algolia
    Algolia was by far and away the easiest of the three to implement. PostgreSQL has many search modules that can be used on top of your usual database, however, none are particularly efficient and can quickly become overwhelmed at scale. Equally, they do not handle business …
    Incentivized
    Amazon AWS
    No answer on this topic
    Elastic
    Chose Elasticsearch
    All database systems have things they are good at, and things they aren't as good at. Riak/SOLR is great as a K/V store, but SOLR cannot handle requests as fast as ElasticSearch. In fact, SOLR is the reason we had to migrate to ElasticSearch.
    Redis is great at SET operations …
    Incentivized
    Key User Insights
    Would buy again
    93%
    Would buy again
    57 Answers
    88%
    Would buy again
    7 Answers
    82%
    Would buy again
    14 Answers
    Delivers good value for the price
    96%
    Delivers good value for the price
    50 Answers
    100%
    Delivers good value for the price
    8 Answers
    100%
    Delivers good value for the price
    16 Answers
    Happy with the feature set
    93%
    Happy with the feature set
    57 Answers
    88%
    Happy with the feature set
    7 Answers
    100%
    Happy with the feature set
    17 Answers
    Lived up to sales and marketing promises
    95%
    Lived up to sales and marketing promises
    40 Answers
    100%
    Lived up to sales and marketing promises
    5 Answers
    100%
    Lived up to sales and marketing promises
    13 Answers
    Implementation went as expected
    93%
    Implementation went as expected
    52 Answers
    100%
    Implementation went as expected
    7 Answers
    87%
    Implementation went as expected
    13 Answers
    Features
    AlgoliaAWS Elastic BeanstalkElasticsearch
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Algolia and AWS Elastic Beanstalk and Elasticsearch
    Feature
    Algolia
    -
    Ratings
    AWS Elastic Beanstalk
    7.8
    28 Ratings
    1% above category average
    Elasticsearch
    -
    Ratings
    Ease of building user interfaces00 Ratings8.018 Ratings00 Ratings
    Scalability00 Ratings7.028 Ratings00 Ratings
    Platform management overhead00 Ratings8.027 Ratings00 Ratings
    Workflow engine capability00 Ratings7.022 Ratings00 Ratings
    Platform access control00 Ratings8.027 Ratings00 Ratings
    Services-enabled integration00 Ratings8.027 Ratings00 Ratings
    Development environment creation00 Ratings7.027 Ratings00 Ratings
    Development environment replication00 Ratings8.028 Ratings00 Ratings
    Issue monitoring and notification00 Ratings8.027 Ratings00 Ratings
    Issue recovery00 Ratings9.025 Ratings00 Ratings
    Upgrades and platform fixes00 Ratings8.026 Ratings00 Ratings
    Best Alternatives
    AlgoliaAWS Elastic BeanstalkElasticsearch
    Small Businesses
    No answers on this topic
    IBM Cloud Foundry
    Score8.5 out of 10
    Apache Solr
    Score7.9 out of 10
    Medium-sized Companies
    No answers on this topic
    IBM Cloud Private
    Score9.6 out of 10
    IBM Watson Discovery
    Score9 out of 10
    Enterprises
    No answers on this topic
    Red Hat OpenShift
    Score9.1 out of 10
    Amazon CloudSearch
    Score8.5 out of 10
    All AlternativesView all alternativesView all alternativesView all alternatives
    User Ratings
    AlgoliaAWS Elastic BeanstalkElasticsearch
    Likelihood to Recommend
    8.4
    (68 ratings)
    7.0
    (28 ratings)
    9.0
    (48 ratings)
    Likelihood to Renew
    10.0
    (8 ratings)
    7.9
    (2 ratings)
    10.0
    (1 ratings)
    Usability
    8.0
    (15 ratings)
    7.0
    (10 ratings)
    10.0
    (1 ratings)
    Availability
    10.0
    (6 ratings)
    -
    (0 ratings)
    -
    (0 ratings)
    Performance
    10.0
    (6 ratings)
    -
    (0 ratings)
    -
    (0 ratings)
    Support Rating
    8.8
    (3 ratings)
    8.0
    (12 ratings)
    7.8
    (9 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (2 ratings)
    9.0
    (1 ratings)
    Product Scalability
    9.0
    (6 ratings)
    -
    (0 ratings)
    -
    (0 ratings)
    User Testimonials
    AlgoliaAWS Elastic BeanstalkElasticsearch
    Likelihood to Recommend
    Algolia
    Algolia is perfect if you need an excellent search engine and want to transfer your PLP management (browsing) to a third party. Algolia is good at mixing products, user behavior, interests, and business rules. Maybe it's less appropriate if you are using an all-in-one e-commerce platform where you get a good search engine or a marketing platform that also connects other features like a client database, first-party data, recommendation services, etc., all included in the same bill/integration.
    Incentivized
    Read full review
    Amazon AWS
    I have been using AWS Elastic Beanstalk for more than 5 years, and it has made our life so easy and hassle-free. Here are some scenarios where it excels -
    • I have been using different AWS services like EC2, S3, Cloudfront, Serverless, etc. And Elastic Beanstalk makes our lives easier by tieing each service together and making the deployment a smooth process.
    • N number of integrations with different CI/CD pipelines make this most engineer's favourite service.
    • Scalability & Security comes with the service, which makes it the absolute perfect product for your business.
    Personally, I haven't found any situations where it's not appropriate for the use cases it can be used. The pricing is also very cost-effective.
    Incentivized
    Read full review
    Elastic
    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.
    Incentivized
    Read full review
    Pros
    Algolia
    • Users get instant feedback as they type, even with complex filters like brand, model, price range, and financing eligibility. This speed significantly improves engagement and reduces bounce.
    • A user searching for “Camry 2020” or even “Camary 20” still sees relevant Toyota Camry listings from 2020. This reduces friction, especially on mobile where spelling errors are common.
    • Algolia handles multi-faceted filters efficiently. For example, a user can filter by location, transmission type, color, or inspection status without any lag.
    • We fine-tune the ranking of search results based on what matters to our business—like prioritizing cars with higher margins or better availability in key cities.
    • We can experiment with different ranking formulas or UI variations to improve KPIs like lead conversion or time-to-first-interaction.
    Incentivized
    Read full review
    Amazon AWS
    • Getting a project set up using the console or CLI is easy compared to other [computing] platforms.
    • AWS Elastic Beanstalk supports a variety of programming languages so teams can experiment with different frameworks but still use the same compute platform for rapid prototyping.
    • Common application architectures can be referenced as patterns during project [setup].
    • Multiple environments can be deployed for an application giving more flexibility for experimentation.
    Incentivized
    Read full review
    Elastic
    • 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.
    Incentivized
    Read full review
    Cons
    Algolia
    • Better integration of features (ex. synonyms feature is great but isn't respected by their re-ranking product)
    • Tooling to reduce spam search queries being triaged by system/logged to analytics panels
    • More automated summaries of analytics (ie. recommend synonyms to add, trends noticed in search volume in specific areas of site, easier ways to leverage API vs using website UI)
    Incentivized
    Read full review
    Amazon AWS
    • Limited to the frameworks and configurations that AWS supports. There is no native way to use Elastic Beanstalk to deploy a Go application behind Nginx, for example.
    • It's not always clear what's changed on an underlying system when AWS updates an EB stack; the new version is announced, but AWS does not say what specifically changed in the underlying configuration. This can have unintended consequences and result in additional work in order to figure out what changes were made.
    Incentivized
    Read full review
    Elastic
    • 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
    Incentivized
    Read full review
    Likelihood to Renew
    Algolia
    After working 8 years and through 100+ implementations on international sites, Algolia beats the alternatives on several grounds. It offers a fair price that brings a ROI ; It has the financial backbones and the interest in investing in R&D more than any other competitors. It is a true specialized and not an add-on, and thus benefits from a very strong engineering and innovative approach. The tool is very reliable and fast
    Incentivized
    Read full review
    Amazon AWS
    As our technology grows, it makes more sense to individually provision each server rather than have it done via beanstalk. There are several reasons to do so, which I cannot explain without further diving into the architecture itself, but I can tell you this. With automation, you also loose the flexibility to morph the system for your specific needs. So if you expect that in future you need more customization to your deployment process, then there is a good chance that you might try to do things individually rather than use an automation like beanstalk.
    Incentivized
    Read full review
    Elastic
    We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.
    Incentivized
    Read full review
    Usability
    Algolia
    Most of the setup is easy enough if you have some technical/web dev/IT background, but once it's set up, you can have end/power users maintain some settings, like adding search terms. Algolia is a powerful search tool and integrates easily with Shopify.
    Incentivized
    Read full review
    Amazon AWS
    The overall usability is good enough, as far as the scaling, interactive UI and logging system is concerned, could do a lot better when it comes to the efficiency, in case of complicated node logics and complicated node architectures. It can have better software compatibility and can try to support collaboration with more softwares
    Incentivized
    Read full review
    Elastic
    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.
    Incentivized
    Read full review
    Reliability and Availability
    Algolia
    100% uptime for as much as we were aware :P
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    Elastic
    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.
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    Elastic
    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
    Read full review
    Amazon AWS
    As I described earlier it has been really cost effective and really easy for fellow developers who don't want to waste weeks and weeks into learning and manually deploying stuff which basically takes month to create and go live with the Minimal viable product (MVP). With AWS Beanstalk within a week a developer can go live with the Minimal viable product easily.
    Incentivized
    Read full review
    Elastic
    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.
    Incentivized
    Read full review
    Implementation Rating
    Algolia
    No answers on this topic
    Amazon AWS
    - Do as many experiments as you can before you commit on using beanstalk or other AWS features. - Keep future state in mind. Think through what comes next, and if that is technically possible to do so. - Always factor in cost in terms of scaling. - We learned a valuable lesson when we wanted to go multi-region, because then we realized many things needs to change in code. So if you plan on using this a lot, factor multiple regions.
    Incentivized
    Read full review
    Elastic
    Do not mix data and master roles. Dedicate at least 3 nodes just for Master
    Incentivized
    Read full review
    Alternatives Considered
    Algolia
    Algolia gives way more control for a non-developer than AWS Elasticsearch Service. Previously we'd have to have our developers make adjustments to site search relevancy, typos, prioritizing certain attributes over others, etc. but now the marketing and website team can do that themselves in the Algolia dashboard
    Incentivized
    Read full review
    Amazon AWS
    We also use Heroku and it is a great platform for smaller projects and light Node.js services, but we have found that in terms of cost, the Elastic Beanstalk option is more affordable for the projects that we undertake. The fact that it sits inside of the greater AWS Cloud offering also compels us to use it, since integration is simpler. We have also evaluated Microsoft Azure and gave up trying to get an extremely basic implementation up and running after a few days of struggling with its mediocre user interface and constant issues with documentation being outdated. The authentication model is also badly broken and trying to manage resources is a pain. One cannot compare Azure with anything that Amazon has created in the cloud space since Azure really isn't a mature platform and we are always left wanting when we have to interface with it.
    Incentivized
    Read full review
    Elastic
    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.
    Incentivized
    Read full review
    Scalability
    Algolia
    Algolia has been a consistent product that works flawless with very few errors or downtime. With the plan options it’s very easy for us to scale especially with this usage pricing. We have 100% gotten our ROI on this product.
    Incentivized
    Read full review
    Amazon AWS
    No answers on this topic
    Elastic
    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.
    Incentivized
    Read full review
    Amazon AWS
    • till now we had not Calculated ROI as the project is still evolving and we had to keep on changing the environment implementation
    • it meets our purpose of quick deployment as compared to on-premises deployment
    • till now we look good as we also controlled our expenses which increased suddenly in the middle of deployment activity
    Incentivized
    Read full review
    Elastic
    • 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.
    Incentivized
    Read full review
    ScreenShots

    Algolia Screenshots

    Screenshot of Index & Query Rules Management. Query Rules help 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. This 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 The Algolia Dashboard, offering products to accelerate search and discovery experiences across any device and platform.Screenshot of The advanced front-end libraries, API clients, and extensive documentation that help developers build, deploy, and maintain.Screenshot of Where users getting started simply choose an index, denote the events, and choose a model.