Elastic Search vs Microsoft FAST comparison

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Elastic Logo
2,186 views|735 comparisons
98% willing to recommend
Microsoft Logo
405 views|291 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Elastic Search and Microsoft FAST based on real PeerSpot user reviews.

Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search.
To learn more, read our detailed Indexing and Search Report (Updated: March 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
"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.""The forced merge and forced resonate features reduce the data size increasing reliability.""ELK Elasticsearch is 100% scalable as scalability is built into the design""I am impressed with the product's Logstash. The tool is fast and customizable. You can build beautiful dashboards with it. It is useful and reliable.""We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company.""X-Pack provides good features, like authorization and alerts.""The solution is valuable for log analytics.""The solution is stable and reliable."

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"Microsoft FAST is quite robust. Our clients are quite happy with it."

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Cons
"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.""The metadata gets stored along with indexes and isn't queryable.""Elastic Enterprise Search could improve the report templates.""The pricing of this product needs to be more clear because I cannot understand it when I review the website.""We'd like more user-friendly integrations.""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.""This product could be improved with additional security, and the addition of support for machine learning devices.""There are potential improvements based on our client feedback, like unifying the licensing cost structure."

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"If there is any change in a system or a configuration or an update, we might face some issues."

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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: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… 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 with different platforms is also fine, and I'm not recommending any changes or… more »
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    Ranking
    1st
    out of 25 in Indexing and Search
    Views
    2,186
    Comparisons
    735
    Reviews
    27
    Average Words per Review
    501
    Rating
    8.3
    4th
    out of 25 in Indexing and Search
    Views
    405
    Comparisons
    291
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Elastic Enterprise Search, Swiftype, Elastic Cloud
    MS FAST
    Learn More
    Overview

    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.

    Microsoft FAST Search Server 2010 for SharePoint combines the power of FAST with the simplicity of SharePoint. FAST Search Server 2010 for SharePoint delivers an exceptional intranet and people search experience and a platform for building custom search-driven applications.
    Sample Customers
    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.
    Moffitt Cancer Center, Hitachi Solutions, Manupatra Information Solutions, Unique World, _KODA AUTO a.s., MindTree Ltd, Mississippi Department of Transportation
    Top Industries
    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
    Computer Software Company23%
    Manufacturing Company11%
    Energy/Utilities Company9%
    Financial Services Firm9%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise13%
    Large Enterprise63%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise16%
    Large Enterprise66%
    Buyer's Guide
    Indexing and Search
    March 2024
    Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    Elastic Search is ranked 1st in Indexing and Search with 59 reviews while Microsoft FAST is ranked 4th in Indexing and Search. Elastic Search is rated 8.2, while Microsoft FAST is rated 9.0. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of Microsoft FAST writes "Robust solution with good value". Elastic Search is most compared with Faiss, Milvus, Azure Search, Pinecone and Amazon Kendra, whereas Microsoft FAST is most compared with Lookeen, Lucene and IBM Watson Discovery.

    See our list of best Indexing and Search vendors.

    We monitor all Indexing and Search reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.