Azure Search vs Elastic Search vs Solr comparison

Cancel
You must select at least 2 products to compare!
Microsoft Logo
1,910 views|1,626 comparisons
62% willing to recommend
Elastic Logo
3,993 views|1,325 comparisons
98% willing to recommend
Apache Logo
1,211 views|926 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Azure Search, Elastic Search, and Solr 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).
768,740 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 amount of flexibility and agility is really assuring.""The search functionality time has been reduced to a few milliseconds.""The product is extremely configurable, allowing you to customize the search experience to suit your needs.""Azure Search is well-documented, making it easy to understand and implement.""The product is pretty resilient.""Creates indexers to get data from different data sources.""It provides good access capabilities to various platforms.""The solution's initial setup is straightforward."

More Azure Search Pros →

"The solution is quite scalable and this is one of its advantages.""We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company.""The most valuable feature is the out of the box Kibana.""Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana.""The solution has good security features. I have been happy with the dashboards and interface.""It is stable.""Gives us a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) as well as the ability to implement various mechanisms for machine-learning from our logs, and sending alerts for anomalies.""The search speed is most valuable and important."

More Elastic Search Pros →

"One of the best aspects of the solution is the indexing. It's already indexed to all the fields in the category. We don't need to spend so much extra effort to do the indexing. It's great.""​Sharding data, Faceting, Hit Highlighting, parent-child Block Join and Grouping, and multi-mode platform are all valuable features.""It has improved our search ranking, relevancy, search performance, and user retention.""The most valuable feature is the ability to perform a natural language search."

More Solr Pros →

Cons
"It would be good if the site found a better way to filter things based on subscription.""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.""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 pricing is room for improvement."

More Azure Search Cons →

"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities.""It was not possible to use authentication three years back. You needed to buy the product's services for authentication.""Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI.""There is an index issue in which the data starts to crash as it increases.""The different applications need to be individually deployed.""There are a lot of manual steps on the operating system. It could be simplified in the user interface.""I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes or enhancements right now.""They're making changes in their architecture too frequently."

More Elastic Search Cons →

"With increased sharding, performance degrades. Merger, when present, is a bottle-neck. Peer-to-peer sync has issues in SolrCloud when index is incrementally updated.""SolrCloud stability, indexing and commit speed, and real-time Indexing need improvement.""The performance for this solution, in terms of queries, could be improved.""Encountered issues with both master-slave and SolrCloud. Indexing and serving traffic from same collection has very poor performance. Some components are slow for searching.""It does take a little bit of effort to use and understand the solution. It would help us a lot if the solution offered up more documentation or tutorials to help with training or troubleshooting."

More Solr Cons →

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 →

  • "The only costs in addition to the standard licensing fees are related to the hardware, depending on whether it is cloud-based, or on-premise."
  • More Solr Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Search as a Service solutions are best for your needs.
    768,740 professionals have used our research since 2012.
    Questions from the Community
    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 »
    Ask a question

    Earn 20 points

    Ranking
    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
    8th
    out of 13 in Search as a Service
    Views
    1,211
    Comparisons
    926
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Faiss logo
    Compared 14% of the time.
    Milvus logo
    Compared 13% of the time.
    Pinecone logo
    Compared 6% of the time.
    Amazon Kendra logo
    Compared 6% of the time.
    OpenText IDOL logo
    Compared 4% of the time.
    Amazon AWS CloudSearch logo
    Compared 49% of the time.
    Amazon Kendra logo
    Compared 24% of the time.
    Algolia logo
    Compared 6% of the time.
    Amazon Athena logo
    Compared 3% of the time.
    Also Known As
    Elastic Enterprise Search, Swiftype, Elastic Cloud
    Learn More
    Apache
    Video Not Available
    Overview
    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.

    Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
    Sample Customers
    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.
    eHarmony, Sears, StubHub, Best Buy, Instagram, Netflix, Disney, AT&T, eBay, AOL, Bloomberg, Comcast, Ticketmaster, Travelocity, MTV Networks
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm14%
    Manufacturing Company8%
    Insurance Company6%
    REVIEWERS
    Financial Services Firm33%
    Computer Software Company27%
    Manufacturing Company10%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm15%
    Government7%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company13%
    Government9%
    Real Estate/Law Firm5%
    Company Size
    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%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise12%
    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.
    768,740 professionals have used our research since 2012.