Algolia vs Azure Search vs Elastic Search comparison

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Algolia Logo
919 views|697 comparisons
100% willing to recommend
Microsoft Logo
1,890 views|1,610 comparisons
62% willing to recommend
Elastic Logo
3,755 views|1,273 comparisons
98% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Elastic, Amazon Web Services (AWS), Microsoft and others in Search as a Service.
To learn more, read our detailed Search as a Service Report (Updated: April 2024).
769,334 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."

More Algolia Pros →

"Offers a tremendous amount of flexibility and scalability when integrating with applications.""The product is extremely configurable, allowing you to customize the search experience to suit your needs.""The amount of flexibility and agility is really assuring.""Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency.​""Azure Search is well-documented, making it easy to understand and implement.""The customer engagement was good.""The solution's initial setup is straightforward.""The product is pretty resilient."

More Azure Search Pros →

"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.""Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana.""I really like the visualization that you can do within it. That's really handy. Product-wise, it is a very good and stable product.""Data indexing of historical data is the most beneficial feature of the product.""A nonstructured database that can manage large amounts of nonstructured data.""ELK Elasticsearch is 100% scalable as scalability is built into the design""Dashboard is very customizable.""The most valuable features are the data store and the X-pack extension."

More Elastic Search Pros →

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

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"For SDKs, Azure Search currently offers solutions for .NET and Python. Additional platforms would be welcomed, especially native iOS and Android solutions for mobile development.""The pricing is room for improvement.""Adding items to Azure Search using its .NET APIs sometimes throws exceptions.""For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product.​""The after-hour services are slow.""The initial setup is not as easy as it should be.""They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement.""It would be good if the site found a better way to filter things based on subscription."

More Azure Search Cons →

"I would like to see more integration for the solution with different platforms.""There are challenges with performance management and scalability.""The different applications need to be individually deployed.""Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard.""I have not been using the solution for many years to know exactly the improvements needed. However, they could simplify how the YML files have to be structured properly.""Machine learning on search needs improvement.""While integrating with tools like agents for ingesting data from sources like firewalls is valuable, I believe prioritizing improvements to the core product would be more beneficial.""Elastic Enterprise Search can improve by adding some kind of search that can be used out of the box without too much struggle with configuration. With every kind of search engine, there is some kind of special function that you need to do. A simple out-of-the-box search would be useful."

More Elastic Search Cons →

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

  • "​When telling people about the product, I always encourage them to set up a new service using the free pricing tier. This allows them to learn about the product and its capabilities in a risk-free environment. Depending on their needs, the free tier may be suitable for their projects, however enterprise applications will most likely required a higher, paid tier."
  • "For the actual costs, I encourage users to view the pricing page on the Azure site for details.​"
  • "I think the solution's pricing is ok compared to other cloud devices."
  • "I would rate the pricing an eight out of ten, where one is the low price, and ten is the high price."
  • "The solution is affordable."
  • "The cost is comparable."
  • More Azure Search 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:The after-hour services are slow. It could be better.
    Top Answer:We use the solution to link the Active Directory account to Office 365.
    Top Answer:Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very… more »
    Top Answer:I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating… more »
    Ranking
    7th
    out of 13 in Search as a Service
    Views
    919
    Comparisons
    697
    Reviews
    1
    Average Words per Review
    339
    Rating
    9.0
    6th
    out of 13 in Search as a Service
    Views
    1,890
    Comparisons
    1,610
    Reviews
    4
    Average Words per Review
    395
    Rating
    6.8
    1st
    out of 13 in Search as a Service
    Views
    3,755
    Comparisons
    1,273
    Reviews
    27
    Average Words per Review
    501
    Rating
    8.3
    Comparisons
    Amazon AWS CloudSearch logo
    Compared 39% of the time.
    Amazon Kendra logo
    Compared 29% of the time.
    Solr logo
    Compared 7% of the time.
    Faiss logo
    Compared 15% of the time.
    Milvus logo
    Compared 14% of the time.
    Pinecone logo
    Compared 7% of the time.
    Amazon Kendra logo
    Compared 5% of the time.
    Weaviate logo
    Compared 3% of the time.
    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.

    Azure Search is a search-as-a-service cloud solution that gives developers APIs and tools for adding a rich search experience over your data in web, mobile, and enterprise applications. Functionality is exposed through a simple REST API or .NET SDK that masks the inherent complexity of search technology. In addition to APIs, the Azure portal provides administration and prototyping support. Infrastructure and availability are managed by Microsoft.

    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
    XOMNI, Real Madrid C.F., Weichert Realtors, JLL, NAV CANADA, Medihoo, autoTrader Corporation, Gjirafa
    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 Company15%
    Comms Service Provider14%
    Healthcare Company8%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm13%
    Manufacturing Company8%
    Insurance Company6%
    REVIEWERS
    Financial Services Firm33%
    Computer Software Company27%
    Manufacturing Company10%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm15%
    Manufacturing Company8%
    Government7%
    Company Size
    VISITORS READING REVIEWS
    Small Business35%
    Midsize Enterprise15%
    Large Enterprise51%
    REVIEWERS
    Small Business25%
    Midsize Enterprise13%
    Large Enterprise63%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise11%
    Large Enterprise68%
    REVIEWERS
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise13%
    Large Enterprise63%
    Buyer's Guide
    Search as a Service
    April 2024
    Find out what your peers are saying about Elastic, Amazon Web Services (AWS), Microsoft and others in Search as a Service. Updated: April 2024.
    769,334 professionals have used our research since 2012.