Listing Thumbnail

    Lucenia Search (Hourly)

     Info
    Sold by: Lucenia 
    Deployed on AWS
    Lucenia Server is a high-performance, scalable, and secure search software that provides full-text, temporal, geospatial, and vector search capabilities for your applications. Lucenia Server is built on top of the open-source search engine Apache Lucene and provides a RESTful API for indexing and searching documents.

    Overview

    Lucenia Server is a powerful search engine that enables you to build search applications with full-text, temporal, geospatial, and vector search capabilities. Lucenia Server is built on top of the open-source search engine Apache Lucene and provides a RESTful API for indexing and searching documents. With Lucenia Server, you can easily index and search large volumes of data, perform complex search queries, and build advanced search applications.

    Highlights

    • Full-text, temporal, geospatial, AI, and vector search capabilities
    • Built on top of Apache Lucene with a RESTful API
    • Highly scalable and secure search engine for building advanced search applications

    Details

    Delivery method

    Supported services

    Delivery option
    Lucenia Container Image
    Lucenia Search Hourly Helm Chart

    Latest version

    Operating system
    Linux

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Lucenia Search (Hourly)

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (4)

     Info
    Dimension
    Description
    Cost/unit
    Small (up to 4GB heap)
    Hourly usage for Lucenia instances with heap memory up to 4GB
    $0.029
    Medium (4-16GB heap)
    Hourly usage for Lucenia instances with heap memory between 4GB and 16GB
    $0.118
    Large (16-64GB heap)
    Hourly usage for Lucenia instances with heap memory between 16GB and 64GB
    $0.471
    XLarge (64GB+ heap)
    Hourly usage for Lucenia instances with heap memory of 64GB or more
    $0.942

    Vendor refund policy

    No refunds but you can cancel at anytime.

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    Lucenia Container Image

    Supported services: Learn more 
    • Amazon ECS
    • Amazon EKS
    Container image

    Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.

    Version release notes

    Lucene 10.3.1 Upgrade: Lucenia now includes Apache Lucene 10.3.1, bringing significant performance improvements and new capabilities for search and vector operations

    Additional details

    Usage instructions

    Deploy this container image on Amazon EKS using our provided Helm charts for simplified installation and configuration management.

    Prerequisites

    1. Amazon EKS Cluster

      # Verify cluster access kubectl get nodes
    2. AWS CLI and ECR Authentication

      # Configure AWS CLI aws configure # Authenticate to ECR aws ecr get-login-password --region us-east-1 | \ docker login --username AWS --password-stdin \ 709825985650.dkr.ecr.us-east-1.amazonaws.com
    3. Helm 3.8+ Installation

      # Install Helm if not present curl <https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3> | bash # Authenticate Helm to ECR aws ecr get-login-password --region us-east-1 | \ helm registry login --username AWS --password-stdin \ 709825985650.dkr.ecr.us-east-1.amazonaws.com
    4. EBS CSI Driver

      # Install EBS CSI driver for persistent volumes kubectl apply -k "github.com/kubernetes-sigs/aws-ebs-csi-driver/deploy/kubernetes/overlays/stable/?ref=master"

    Support

    Vendor support

    You can contact support@lucenia.io  for support.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.