Amazon Elasticsearch Service vs Azure Search vs Elastic Search comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Elasticsearch Service, Azure Search, 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).
765,234 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 initial set up is very easy...We really appreciate Amazon!""In case there is a failure, Elastic manages everything well, and there no major downtime.""The stability of the product is good.""It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs.""Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable.""The most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful.""They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market.""It's a good log management platform. In terms of infrastructure management, it's good."

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"Azure Search is well-documented, making it easy to understand and implement.""It provides good access capabilities to various platforms.""The search functionality time has been reduced to a few milliseconds.""Offers a tremendous amount of flexibility and scalability when integrating with applications.""The amount of flexibility and agility is really assuring.""The solution's initial setup is straightforward.""Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency.​""The product is extremely configurable, allowing you to customize the search experience to suit your needs."

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"X-Pack provides good features, like authorization and alerts.""I value the feature that allows me to share the dashboards to different people with different levels of access.""Search is really powerful.""It gives us the possibility to store and query this data and also do this efficiently and securely and without delays.""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.""The product is scalable with good performance.""Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical.""It is stable."

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Cons
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels.""There is a problem with the database. Amazon only provides the hosting to run our applications bias, but there is no option to manage the database within the Elasticsearch product.""One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become problematic.""I would say that, basically, the configuration part is an area with a shortcoming...Some upgradation is required on the configuration side so that we can get to use it.""Amazon Elasticsearch can improve the bullion in the near search and the ease of integration with Kibana. Additionally, there could be more flexibility in the configuration and documentation.""The configuration should be more straightforward because we had to select a lot of things."

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

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"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales.""Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities.""Elasticsearch could improve by honoring Unix environmental variables and not relying only on those provided by Java (e.g. installing plugins over the Unix http proxy).""Technical support should be faster.""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.""We have an issue with the volume of data that we can handle.""The documentation regarding customization could be better.""Elastic Search could benefit from a more user-friendly onboarding process for beginners."

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Pricing and Cost Advice
  • "You only pay for what you use."
  • "Compared to other cloud platforms, it is manageable and not very expensive."
  • "There is a community edition available and the price of the commercial offering is reasonable."
  • "The solution is not expensive, but priced averagely, I will say."
  • More Amazon Elasticsearch Service 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:It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific… more »
    Top Answer:The solution is not expensive, but priced averagely, I will say. Regarding the pricing part based on the use cases, we… more »
    Top Answer:One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months… 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: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
    3rd
    out of 12 in Search as a Service
    Views
    3,171
    Comparisons
    2,725
    Reviews
    4
    Average Words per Review
    616
    Rating
    8.0
    6th
    out of 12 in Search as a Service
    Views
    2,003
    Comparisons
    1,704
    Reviews
    4
    Average Words per Review
    395
    Rating
    6.8
    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

    Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud.

    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
    VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
    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
    Financial Services Firm20%
    Computer Software Company14%
    Manufacturing Company9%
    Government8%
    VISITORS READING REVIEWS
    Computer Software Company17%
    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%
    Government8%
    Manufacturing Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise13%
    Large Enterprise72%
    REVIEWERS
    Small Business25%
    Midsize Enterprise13%
    Large Enterprise63%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise10%
    Large Enterprise68%
    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.
    765,234 professionals have used our research since 2012.