Elastic Search vs Lucidworks comparison

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Elastic Logo
2,215 views|742 comparisons
98% willing to recommend
Lucidworks Logo
355 views|186 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two Indexing and Search solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Elastic Search vs. Lucidworks Report (Updated: May 2024).
771,740 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
"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.""It's a stable solution and we have not had any issues.""The search speed is most valuable and important.""The most valuable features are the detection and correlation features.""Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana.""Data indexing of historical data is the most beneficial feature of the product.""The most valuable feature is the out of the box Kibana.""There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."

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"Provides the ability to control how indexing and searching perform and controls how the scoring for search results is done, letting you customize the search experience according to your needs.""The valuable features are automation and multiple connectors available out of the box. It is simple to manage and easier to use for all users."

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Cons
"Elastic Enterprise Search can improve by adding some kind of search that can be used out of the box without too much struggle with configuration. With every kind of search engine, there is some kind of special function that you need to do. A simple out-of-the-box search would be useful.""Elastic Search could benefit from a more user-friendly onboarding process for beginners.""The pricing of this product needs to be more clear because I cannot understand it when I review the website.""The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it.""Elastic Enterprise Search could improve the report templates.""This product could be improved with additional security, and the addition of support for machine learning devices.""The UI point of view is not very powerful because it is dependent on Kibana.""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."

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"Having some kind of prebuilt client UI will be helpful.""The solution could improve by adding more AI and natural language processing."

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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 →

  • "The price of the solution is a little high and the downside is there is not a perpetual license available. I have to renew it annually. The price of Lucidworks can be difficult for some of my clients to afford."
  • More Lucidworks 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
    2,215
    Comparisons
    742
    Reviews
    27
    Average Words per Review
    501
    Rating
    8.3
    8th
    out of 25 in Indexing and Search
    Views
    355
    Comparisons
    186
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Elastic Enterprise Search, Swiftype, Elastic Cloud
    Learn More
    Lucidworks
    Video Not Available
    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.

    Lucidworks builds AI-powered search and discovery applications for some of the world's largest brands. Fusion, Lucidworks' advanced development platform, provides the enterprise-grade capabilities needed to design, develop and deploy intelligent search apps at any scale.

    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.
    Wells Fargo, Cisco, Nike, Target, Verizon, Hortonworks
    Top Industries
    REVIEWERS
    Financial Services Firm33%
    Computer Software Company27%
    Manufacturing Company10%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm15%
    Manufacturing Company8%
    Government7%
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Manufacturing Company10%
    Computer Software Company8%
    Energy/Utilities Company7%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise13%
    Large Enterprise62%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    Buyer's Guide
    Elastic Search vs. Lucidworks
    May 2024
    Find out what your peers are saying about Elastic Search vs. Lucidworks and other solutions. Updated: May 2024.
    771,740 professionals have used our research since 2012.

    Elastic Search is ranked 1st in Indexing and Search with 59 reviews while Lucidworks is ranked 8th in Indexing and Search. Elastic Search is rated 8.2, while Lucidworks is rated 8.6. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of Lucidworks writes "Provides the ability to control how indexing and searching perform". Elastic Search is most compared with Faiss, Milvus, Pinecone and Azure Search, whereas Lucidworks is most compared with Coveo. See our Elastic Search vs. Lucidworks report.

    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.