Best eCommerce Search Software for Amazon Web Services (AWS)

Find and compare the best eCommerce Search software for Amazon Web Services (AWS) in 2026

Use the comparison tool below to compare the top eCommerce Search software for Amazon Web Services (AWS) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    SearchStax Reviews
    SearchStax provides end-to-end search solutions to improve the search experience. SearchStax Site Search is a site search solution that enables companies to quickly, easily, and cost-effectively implement a high-quality search experience. SearchStax Manged Search is a fully managed Solr service to help minimize the need to managed search infrastructure. We have over 700 clients in 20+ countries. We were recognized by G2 as a High Performer for Enterprise Search. Site Search for Your Website Made Easy SearchStax Site Search provides advanced, modern, and personalized search for your website. • Best-in-Class search experience • Actionable search insight for executives and managers • Self-service tools that the marketing team can use to update and optimize search results without the need for developers • Quick Implementation for developers Fully-Managed Solr Service in the Cloud SearchStax Managed Search, a fully managed, hosted Solr service that automates, manages, and scales high-availability Solr infrastructures in public or private clouds. • Spend more time on value-added projects and build faster. • Scale faster with automation • Lower incident and SLA costs reduce costs
  • 2
    appbase.io Reviews

    appbase.io

    appbase.io

    $49 per month
    Harness the power of NoCode, REST APIs, or JavaScript components to create highly sophisticated search experiences for your applications. Build your search functionalities on your preferred tech stack while accelerating delivery by tenfold. Tailor user intent detection, configure search parameters, manage user language preferences, incorporate synonyms, and establish business rules, all deployable within seconds. Gain immediate access to search analytics and insights that facilitate ongoing enhancements in relevance and user engagement. Appbase.io is fueled by the top-tier search engine, Elasticsearch, allowing you to utilize your own Elasticsearch instance or leverage appbase.io’s hosting services, which come with an application layer cache for unparalleled search performance. The service is available across 16 global regions and is designed with double failover protection for added reliability. Alternatively, you can opt for self-hosting through our Docker image. Implement detailed access controls based on routes or fields and generate multiple dedicated keys for various purposes. Built-in features allow you to enforce rate limits, restrict access by IPs, and more, ensuring a comprehensive out-of-the-box solution. Collaborate securely with your team by establishing specialized access policies on appbase.io, enhancing both teamwork and security. This flexibility and efficiency in managing search capabilities can significantly transform how users interact with your application.
  • 3
    EPICA Reviews
    Through a strategic alliance, EPICA has transitioned its prediction platform to Azure, the cloud solution provided by Microsoft, which allows our clients and suppliers to access EPICA’s powerful data science tools securely and instantly. Businesses are leveraging the EPICA Platform along with Sophia® AI to stay ahead of their rivals effectively. Our seamless implementation process enables you to easily merge with your existing technological infrastructure. By recognizing patterns, you can foresee your customers' future purchasing behaviors with remarkable precision. Gain insights into the likelihood of each shopper making a purchase or even create your own audience to evaluate their propensity to act on specific products. This personalized approach enhances the customer experience, rewarding them for the data they provide. Offer a unified and engaging experience across both your physical store and digital advertising campaigns. The key to achieving such precise predictions lies in the rich quality and volume of data that feeds into the AI engine's learning process, which continuously improves its predictive capabilities. By harnessing these insights, companies can foster stronger relationships with their customers.
  • 4
    Lily AI Reviews
    Lily AI transforms the shopping landscape by integrating consumer-focused language across the entire retail framework, thereby optimizing technology expenditures to achieve a revenue increase that can exceed nine figures. By converting qualitative product characteristics into a universally applicable, customer-oriented mathematical language with unmatched precision, Lily AI provides a level of attribution that stands unrivaled in the industry. Enhance your current ecommerce systems, search engines, PIM, and SEO/SEM strategies with the most comprehensive and precise product attribution data available in the market, boasting over 20,000 attributes and continuously growing. This revolutionary approach not only elevates consumer engagement but also empowers businesses to make informed decisions based on rich data insights.
  • 5
    XGEN AI Reviews
    XGEN AI is a flexible generative AI platform designed exclusively for ecommerce teams, enabling them to implement search, recommendations, and chat functionalities with complete autonomy and no need for specialized AI knowledge. This innovative system provides a variety of modular AI tools such as XSearch, which delivers a conversational search experience that comprehends customer intent, synonyms, and image cues; XRecommend, a predictive engine that customizes product offerings for individual users in real-time while focusing on metrics like average order value and conversion rates; and XChat, which functions as an ecommerce chat assistant. Additionally, it effortlessly integrates with current ecommerce data sources and systems such as CDPs, PIM, and CRM, allowing digital teams to quickly create AI-enhanced experiences through straightforward declarative tools rather than complex black-box modeling. XGEN dynamically deploys models by choosing from a diverse library of deep learning architectures tailored to specific product categories and user behaviors, while also continuously adapting based on user feedback gathered through events. This adaptability ensures that the platform remains relevant and effective in meeting the evolving needs of ecommerce businesses.
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