Amazon AWS CloudSearch vs Azure Search vs Elastic Search comparison

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Amazon Web Services (AWS) Logo
2,018 views|1,707 comparisons
83% 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 Amazon AWS CloudSearch, 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).
768,857 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 most valuable feature of Amazon AWS CloudSearch is its ability to receive data quickly. You can access your data easily in a short time.""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.""CDN service reduces latency when accessing our web application.""AWS CloudSearch's best features are good performance under high CPU and memory use, and ease of deployment and scaling.""The initial setup is straightforward.""The quality of the solution is good.""Document indexing, text-based search API, and Geospatial searches are all good features.""I've found the solution to be very scalable."

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"It provides good access capabilities to various platforms.""Creates indexers to get data from different data sources.""The search functionality time has been reduced to a few milliseconds.""The product is pretty resilient.""The solution's initial setup is straightforward.""Offers a tremendous amount of flexibility and scalability when integrating with applications.""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."

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"The most valuable features are the detection and correlation features.""The AI-based attribute tagging is a valuable feature.""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 tool's stability and performance are good.""A nonstructured database that can manage large amounts of nonstructured data.""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.""The observability is the best available because it provides granular insights that identify reasons for defects.""The special text processing features in this solution are very important for me."

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Cons
"Maybe they are common in Egypt, but you should make a request on Amazon to create a function to monitor CPU performance, memory, and files. It is very difficult in AWS. I would tell them it should be simple, just drag and drop. I think they could develop this option so we can drag and drop to monitor performance of the processor and memory.""I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds.""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.""Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection.""The solution should improve the recovery aspects that it has on offer.""The price of the solution can be expensive.""Regarding the period of propagation on CDN servers, sometimes we update photos or files and we don't see the update instantly. We need to wait for sometime.""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."

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"It would be good if the site found a better way to filter things based on subscription.""The pricing is room for improvement.""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.""They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement.""The solution's stability could be better.""The after-hour services are slow.""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."

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"They're making changes in their architecture too frequently.""Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved.""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.""The solution must provide AI integrations.""Elastic Search could benefit from a more user-friendly onboarding process for beginners.""They could improve some of the platform's infrastructure management capabilities.""It is hard to learn and understand because it is a very big platform. This is the main reason why we still have nothing in production. We have to learn some things before we get there.""It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."

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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 →

  • "​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 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: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
    5th
    out of 13 in Search as a Service
    Views
    2,018
    Comparisons
    1,707
    Reviews
    6
    Average Words per Review
    367
    Rating
    8.2
    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

    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.

    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
    SmugMug
    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 Company20%
    Financial Services Firm17%
    Comms Service Provider6%
    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 Company7%
    Government7%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise17%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise13%
    Large Enterprise63%
    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.
    768,857 professionals have used our research since 2012.