Algolia vs Azure Search vs Elastic Search comparison

Cancel
You must select at least 2 products to compare!
Algolia Logo
928 views|694 comparisons
100% willing to recommend
Microsoft Logo
1,910 views|1,626 comparisons
62% willing to recommend
Elastic Logo
3,993 views|1,325 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).
767,667 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 →

"Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency.​""The customer engagement was good.""The product is pretty resilient.""Creates indexers to get data from different data sources.""Azure Search is well-documented, making it easy to understand and implement.""The search functionality time has been reduced to a few milliseconds.""Offers a tremendous amount of flexibility and scalability when integrating with applications.""It provides good access capabilities to various platforms."

More Azure Search Pros →

"The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database.""The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs.""The most valuable features are the detection and correlation features.""I like how it allows us to connect to Kafka and get this data in a document format very easily. Elasticsearch is very fast when you do text-based searches of documents. That area is very good, and the search is very good.""It provides deep visibility into your cloud and distributed applications, from microservices to serverless architectures. It quickly identifies and resolves the root causes of issues, like gaining visibility into all the cloud-based and on-prem applications.""ELK Elasticsearch is 100% scalable as scalability is built into the design""Elastic Enterprise Search is scalable. On a scale of one to 10, with one being not scalable and 10 being very scalable, I give Elastic Enterprise Search a 10.""The initial installation and setup were straightforward."

More Elastic Search Pros →

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

More Algolia Cons →

"The solution's stability could be better.""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 after-hour services are slow.""They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement.""For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product.​""Adding items to Azure Search using its .NET APIs sometimes throws exceptions.""The pricing is room for improvement.""It would be good if the site found a better way to filter things based on subscription."

More Azure Search Cons →

"Its licensing needs to be improved. They don't offer a perpetual license. They want to know how many nodes you will be using, and they ask for an annual subscription. Otherwise, they don't give you permission to use it. Our customers are generally military or police departments or customers without connection to the internet. Therefore, this model is not suitable for us. This subscription-based model is not the best for OEM vendors. Another annoying thing about Elasticsearch is its roadmap. We are developing something, and then they say, "Okay. We have removed that feature in this release," and when we are adapting to that release, they say, "Okay. We have removed that one as well." We don't know what they will remove in the next version. They are not looking for backward compatibility from the customers' perspective. They just remove a feature and say, "Okay. We've removed this one." In terms of new features, it should have an ODBC driver so that you can search and integrate this product with existing BI tools and reporting tools. Currently, you need to go for third parties, such as CData, in order to achieve this. ODBC driver is the most important feature required. Its Community Edition does not have security features. For example, you cannot authenticate with a username and password. It should have security features. They might have put it in the latest release.""There are a lot of manual steps on the operating system. It could be simplified in the user interface.""The one area that can use improvement is the automapping of fields.""I would rate the stability a seven out of ten. We faced a few issues.""The documentation regarding customization could be better.""We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff.""Could have more open source tools and testing.""They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."

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 →

    report
    Use our free recommendation engine to learn which Search as a Service solutions are best for your needs.
    767,667 professionals have used our research since 2012.
    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
    928
    Comparisons
    694
    Reviews
    1
    Average Words per Review
    339
    Rating
    9.0
    6th
    out of 13 in Search as a Service
    Views
    1,910
    Comparisons
    1,626
    Reviews
    4
    Average Words per Review
    395
    Rating
    6.8
    1st
    out of 13 in Search as a Service
    Views
    3,993
    Comparisons
    1,325
    Reviews
    27
    Average Words per Review
    501
    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.

    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 Company17%
    Comms Service Provider14%
    Healthcare Company8%
    Financial Services Firm6%
    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 Company7%
    Government7%
    Company Size
    VISITORS READING REVIEWS
    Small Business36%
    Midsize Enterprise15%
    Large Enterprise50%
    REVIEWERS
    Small Business25%
    Midsize Enterprise13%
    Large Enterprise63%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise11%
    Large Enterprise69%
    REVIEWERS
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business23%
    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.
    767,667 professionals have used our research since 2012.