The product has received a positive reception from users. They have expressed satisfaction with various aspects, highlighting its quality, functionality, and value for money. They appreciate its user-friendly interface and the convenience it offers.
Additionally, the prompt and helpful customer support has garnered praise. Some users have also mentioned the product's durability and reliability. Overall, the user reviews indicate a positive experience with the product or service.
The pricing and license model are clear: node-based model.
ELK has been considered as an alternative to Splunk to reduce licensing costs.
The pricing and license model are clear: node-based model.
ELK has been considered as an alternative to Splunk to reduce licensing costs.
Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra enables developers to add search capabilities to their applications so their end users can discover information stored within the vast amount of content spread across their company. This includes data from manuals, research reports, FAQs, HR documentation, customer service guides, and is found across various systems such as file systems, web sites, Box, DropBox, Salesforce, SharePoint, relational databases, Amazon S3, and more. When you type a question, the service uses machine learning algorithms to understand the context and return the most relevant results, whether that be a precise answer or an entire document. For example, you can ask a question like "How much is the cash reward on the corporate credit card?” and Kendra will map to the relevant documents and return a specific answer like “2%”. Kendra provides sample code so that you can get started quickly and easily integrate highly accurate search into your new or existing applications.
The pricing falls in the medium range.
The pricing falls in the medium range.
For the actual costs, I encourage users to view the pricing page on the Azure site for details.
I think the solution's pricing is ok compared to other cloud devices.
For the actual costs, I encourage users to view the pricing page on the Azure site for details.
I think the solution's pricing is ok compared to other cloud devices.
Amazon CloudSearch is a managed service in the AWS Cloud that makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application.
Amazon CloudSearch supports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search. With Amazon CloudSearch, you can quickly add rich search capabilities to your website or application. You don't need to become a search expert or worry about hardware provisioning, setup, and maintenance. With a few clicks in the AWS Management Console, you can create a search domain and upload the data that you want to make searchable, and Amazon CloudSearch will automatically provision the required resources and deploy a highly tuned search index.
We chose AWS because of its cost and stability.
There was no license needed to use this solution.
We chose AWS because of its cost and stability.
There was no license needed to use this solution.
The only costs in addition to the standard licensing fees are related to the hardware, depending on whether it is cloud-based, or on-premise.
The only costs in addition to the standard licensing fees are related to the hardware, depending on whether it is cloud-based, or on-premise.
Constructor’s AI-powered search and product discovery platform delivers unmatched KPI optimization and fast ROI for enterprise ecommerce brands — while giving customers a personalized, enjoyable shopping experience.
Deliver real-time, personalized customer experiences with Constructor's proprietary Native Commerce Core™️, transformers (the “t” in ChatGPT), LLMs, and AI/ML-driven predictive analytics. Understand if and where your current product discovery engine is falling down, and how much revenue you’re losing because of it. Reduce manual workload with deep learning that automatically reranks results based on user behavior. Combine art and science with easy-to-use merchandising controls and insights. Blend your product data and shopper Clickstream data to optimize for desired outcomes.
