Algolia vs Amazon AWS CloudSearch vs Elastic Search comparison

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891 views|668 comparisons
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2,060 views|1,749 comparisons
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4,433 views|1,472 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Algolia, Amazon AWS CloudSearch, and Elastic Search based on real PeerSpot user reviews.

Find out what your peers are saying about Elastic, Amazon, Microsoft and others in Search as a Service.
To learn more, read our detailed Search as a Service Report (Updated: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The Algolia solution really helped us to improve our conversion rate and click through rate."

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"It's the best solution for any company. It has a hosting ERP system for any task. AWS is stable. AWS is more flexible and its elastic concept is a new concept. AWS is also very secure. It has many layers of security, like hardware security and software security. This is a big issue.""Document indexing, text-based search API, and Geospatial searches are all good features.""The quality of the solution is good.""The best feature is its scalability in that Cloud is always on the fly.""I've found the solution to be very scalable.""It will remain alive in the market. The solution will be stable in the market.""AWS CloudSearch's best features are good performance under high CPU and memory use, and ease of deployment and scaling.""The most valuable feature of Amazon AWS CloudSearch is its ability to receive data quickly. You can access your data easily in a short time."

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"Dashboard is very customizable.""The initial setup is very easy for small environments.""The most valuable feature of Elastic Enterprise Search is the Discovery option for the visualization of logs on a GPU instead of on the server.""The most valuable features are the detection and correlation features.""Implementing the main requirements regarding my support portal​.""A good use case is saving metadata of your systems for data cataloging. Various systems, like those opened in metadata and similar applications, use Elasticsearch to store their text data.""The solution has good security features. I have been happy with the dashboards and interface.""I appreciate that Elastic Enterprise Search is easy to use and that we have people on our team who are able to manage it effectively."

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Cons
"I think they could improve the analytics view."

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"The price of the solution can be expensive.""Index cleanup is sometimes painful. No easy way to clean indexes or a bulk of documents. Full indexing or regeneration of entire indexes sometimes gets stuck. In one instance, we had to delete the entire index and re-create it.""Security is a concern but they're working on it.""The solution should improve the recovery aspects that it has on offer.""Latlon data type only supports single value per document. All other types support multiple values. We faced issues with this because we had scenarios where, for each document, we needed to store multiple latlon values for different geographical locations.""I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds.""AWS CloudSearch's documentation isn't very clear. Also, the on-premise version of the solution is less stable than the cloud version.""We'd like to see more database features."

More Amazon AWS CloudSearch Cons →

"Machine learning on search needs improvement.""There is an index issue in which the data starts to crash as it increases.""Better dashboards or a better configuration system would be very good.""I would rate the stability a seven out of ten. We faced a few issues.""The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it.""Something that could be improved is better integrations with Cortex and QRadar, for example.""The UI point of view is not very powerful because it is dependent on Kibana.""The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view."

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Pricing and Cost Advice
  • "We are currently on a contract with Algolia for licensing and price."
  • More Algolia Pricing and Cost Advice →

  • "We chose AWS because of its cost and stability."
  • "There was no license needed to use this solution."
  • "Amazon AWS CloudSearch charging is based on how many resources you consume or and the solution is known to be a bit expensive."
  • "Our license costs around $4,000 per month."
  • "I'm not sure how much we pay a year. It might be around $30,000 a year."
  • "On a scale of one to ten, where one point is cheap, and ten points are expensive, I rate the pricing as medium or reasonable."
  • "In comparison to IBM and Microsoft, the pricing is more favorable."
  • More Amazon AWS CloudSearch Pricing and Cost Advice →

  • "ELK has been considered as an alternative to Splunk to reduce licensing costs."
  • "An X-Pack license is more affordable than Splunk."
  • "​The pricing and license model are clear: node-based model."
  • "This is a free, open source software (FOSS) tool, which means no cost on the front-end. There are no free lunches in this world though. Technical skill to implement and support are costly on the back-end with ELK, whether you train/hire internally or go for premium services from Elastic."
  • "We are using the free version and intend to upgrade."
  • "It can be expensive."
  • "This product is open-source and can be used free of charge."
  • "We are using the open-sourced version."
  • More Elastic Search Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: The Algolia solution really helped us to improve our conversion rate and click through rate.
    Top Answer:We are currently on a contract with Algolia for licensing and price.
    Top Answer:I think they could improve the analytics view. I think they can improve by increasing the number of the terms that are… more »
    Top Answer:It is remarkably efficient and beneficial.
    Top Answer:In comparison to IBM and Microsoft, the pricing is more favorable. I would rate it eight out of ten.
    Top Answer:A reboot should be enhanced. There are issues with the VBC collection.
    Top Answer:Data indexing of historical data is the most beneficial feature of the product.
    Top Answer:I use the community version. The premium license is expensive. I rate the tool’s pricing an eight out of ten.
    Top Answer:The solution must provide AI integrations. I could direct my data flow to my AI tools if I use Elastic for IoT data.
    Ranking
    7th
    out of 12 in Search as a Service
    Views
    891
    Comparisons
    668
    Reviews
    1
    Average Words per Review
    339
    Rating
    9.0
    5th
    out of 12 in Search as a Service
    Views
    2,060
    Comparisons
    1,749
    Reviews
    6
    Average Words per Review
    367
    Rating
    8.2
    1st
    out of 12 in Search as a Service
    Views
    4,433
    Comparisons
    1,472
    Reviews
    27
    Average Words per Review
    512
    Rating
    8.3
    Comparisons
    Also Known As
    Elastic Enterprise Search, Swiftype, Elastic Cloud
    Learn More
    Overview


    Algolia helps businesses across industries quickly create relevant, scalable, and lightning fast search and discovery experiences. Algolia’s mission is to make every search interaction meaningful and rewarding. Our hosted platform reduces the complexity of building relevant digital experiences. More than 7,500 companies like WW, Lacoste, Twitch, Medium and Stripe rely on Algolia’s enterprise-grade APIs to manage over 60 billion search queries a month.

    Founded in 2012, Algolia is backed by $74M in funding from Accel Partners, Alven Capital, Point Nine Capital and Storm Ventures. The team is headquartered in San Francisco with offices in Paris, London, New York, and Atlanta. To learn more, visit www.algolia.com.

    Amazon CloudSearch is a managed service in the AWS Cloud that makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application.
    Amazon CloudSearch supports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search. With Amazon CloudSearch, you can quickly add rich search capabilities to your website or application. You don't need to become a search expert or worry about hardware provisioning, setup, and maintenance. With a few clicks in the AWS Management Console, you can create a search domain and upload the data that you want to make searchable, and Amazon CloudSearch will automatically provision the required resources and deploy a highly tuned search index.

    You can easily change your search parameters, fine tune search relevance, and apply new settings at any time. As your volume of data and traffic fluctuates, Amazon CloudSearch seamlessly scales to meet your needs.

    Elasticsearch is a prominent open-source search and analytics engine known for its scalability, reliability, and straightforward management. It's a favored choice among enterprises for real-time data search, analysis, and visualization. Open-source Elasticsearch is free, offering a comprehensive feature set and scalability. It allows full control over deployments but requires managing and maintaining the infrastructure. On the other hand, Elastic Cloud provides a managed service with features like automated provisioning, high availability, security, and global reach.

    Elasticsearch excels in handling time-sensitive data and complex search requirements across large datasets. Its scalability allows it to handle growing data volumes efficiently, maintaining high performance and fast response times. Integrated with Kibana, Elasticsearch enables powerful data visualization, providing real-time insights crucial for data-driven decision-making.

    Elastic Cloud reduces operational overhead and improves scalability and performance, though it comes with associated costs. It is available on your preferred cloud provider — AWS, Azure, or Google Cloud. Customers who want to manage the software themselves, whether on public, private, or hybrid cloud, can download the Elastic Stack.

    At its core, Elasticsearch is renowned for its full-text search capabilities, capable of performing complex queries and supporting features like fuzzy matching and auto-complete.

    Peer reviews from various professionals highlight its strengths and weaknesses. Pros include its detection and correlation features, flexibility, cloud-readiness, extensibility, and efficient search capabilities. However, users have noted challenges like steep learning curves, data analysis limitations, and integration complexities. The platform is generally viewed as stable and scalable, with varying degrees of satisfaction regarding its usability and feature set.

    In summary, Elasticsearch stands out for its high-speed search, scalability, and versatile analytics, making it a go-to solution for organizations managing large datasets. Its adaptability to different enterprise needs, robust community support, and continuous development keep it at the forefront of enterprise search and analytics solutions. However, potential users should be aware of its learning curve and the need for skilled personnel for optimization.

    Sample Customers
    Birchbox, Twitch, Lacoste, Stripe, WW, Medium, Cousera, National Geographic, Zendesk, Magento
    SmugMug
    T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company16%
    Comms Service Provider13%
    Healthcare Company8%
    Financial Services Firm6%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm17%
    Comms Service Provider7%
    Insurance Company6%
    REVIEWERS
    Financial Services Firm33%
    Computer Software Company27%
    Manufacturing Company10%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm15%
    Government8%
    Manufacturing Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business34%
    Midsize Enterprise15%
    Large Enterprise51%
    REVIEWERS
    Small Business33%
    Midsize Enterprise17%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise12%
    Large Enterprise64%
    REVIEWERS
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise13%
    Large Enterprise63%
    Buyer's Guide
    Search as a Service
    March 2024
    Find out what your peers are saying about Elastic, Amazon, Microsoft and others in Search as a Service. Updated: March 2024.
    765,386 professionals have used our research since 2012.