Elastic Search vs Lucidworks comparison

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2,264 views|729 comparisons
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367 views|187 comparisons
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search.
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.""I value the feature that allows me to share the dashboards to different people with different levels of access.""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.""ELK Elasticsearch is 100% scalable as scalability is built into the design""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.""We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company.""The initial installation and setup were straightforward.""The search speed is most valuable and important."

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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
"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.""There are a lot of manual steps on the operating system. It could be simplified in the user interface.""Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved.""Kibana should be more friendly, especially when building dashboards.""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).""There is an index issue in which the data starts to crash as it increases.""We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff.""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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"The solution could improve by adding more AI and natural language processing.""Having some kind of prebuilt client UI will be helpful."

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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: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.
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    Ranking
    1st
    out of 25 in Indexing and Search
    Views
    2,264
    Comparisons
    729
    Reviews
    27
    Average Words per Review
    512
    Rating
    8.3
    7th
    out of 25 in Indexing and Search
    Views
    367
    Comparisons
    187
    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%
    Government8%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Manufacturing Company12%
    Computer Software Company10%
    Energy/Utilities Company7%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise13%
    Large Enterprise63%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise10%
    Large Enterprise69%
    Buyer's Guide
    Elastic Search vs. IBM Watson Discovery
    March 2024
    Find out what your peers are saying about Elastic Search vs. IBM Watson Discovery and other solutions. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Elastic Search is ranked 1st in Indexing and Search with 59 reviews while Lucidworks is ranked 7th 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 Milvus, Faiss, Azure Search, Amazon Kendra and Solr, whereas Lucidworks is most compared with Coveo.

    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.