How AXYS Empowering Amazon Q

Key takeaways

AXYS offers a no-code platform for data integration, simplifying complex ecosystems into a single source of truth.
Amazon Q provides a generative AI assistant designed for businesses utilizing AWS, requiring technical resources for effective use.
AXYS facilitates seamless real-time data processing and user-friendly API generation without needing extensive engineering capabilities.
The AXYS platform ensures robust data security and governance, enabling compliance while leveraging Amazon Q's advanced AI functions.
AXYS acts as a "Connector Hub" for Amazon Q, enhancing data integration while maintaining control over corporate data governance standards.

AXYS and Amazon Q represent two distinct approaches to data integration and AI enablement. AXYS champions a no-code, user-friendly platform that simplifies complex data ecosystems into a single source of truth, facilitating rapid deployment and AI enablement with minimal technical expertise. Conversely, Amazon Q offers a generative AI assistant designed for businesses with existing AWS services, requiring more technical resources to harness its full potential for advanced analytics and customer service solutions.

AXYS Platform and Amazon Q, Differentiation and Similarities:

Feature/Capability	AXYS Platform	Amazon Q
Data Integration and Management	Offers a no-code solution for data integration, handling both structured and unstructured data with a comprehensive data management pipeline	Connects to business data and systems for problem-solving and content generation. Connecting to data sources requires developers to develop connectors and not clear who is the owner of the connector.
API Generation and Customization	Advanced automatic API generator for seamless integration with cloud solutions and platforms like Salesforce, SAP, Hubspot, and many more. AXYS API allows immediate access to the source data. Allow select specific objects and fields to be selected for each source and add custom conditions.	Generates responses with references and citations for easy verification. Requires to ingest data (ALL or by date only) from Amazon Connect sources. Other third-party sources need to be created by engineering and are not available yet.
Real-Time Data Processing	Supports real-time data synchronization and processing, ensuring current data is always used. Providing indexing schedule up to streaming.	Allows indexing schedule with Amazon sources. Third-party sources are not specified and require engineering work.
User-Friendly Interface and No-Code Solution	User-friendly interface for data sourcing, mapping, and rapid API generation.	Very limited options are given for ingestion, selecting objects and fields to map. No condition for data access is provided.
Data Security and Accessibility	Robust security measures including user access control, API key-based authentication, and deployment within company cloud or hybrid environments	Secure and privacy-respecting adheres to existing access controls and user permissions
Custom Integration and Workflow Automation	Automatically integrates into an API, offering full services for complete enterprise visibility and custom integrations	Not explicitly mentioned
No-Code Unified Real-Time Search	Provides no-code unified real-time search across data silos without data warehousing	Accessing data requires engineering and development.
Cost Efficiency and Resource Management	Focuses on strategy and action with data availability within a reasonable time, and reallocates team resources for simplified API generation without engineering. Up front monthly cost with number of connectors connected only and not usage.	Based on connectivity and usage. Cost will grow as the usage is grows. Not possible to predict.
Ease of Adding New Data Sources	Simplified addition of new data sources with no-code solutions and rapid development of connectors	Connectors are provided for mostly AWS services. Third party connectors requires development by third party.
Scalability and Flexibility	Designed to handle large volumes of data, scalable and flexible for various organizational needs	Scalability is expected due to AWS services nature but not specified for the third party integrations.
AI-Enablement	AXYS accelerates AI integration by providing seamless connectivity options and a chat interface, which effortlessly links with platforms such as ChatGPT for enriched, intelligent interactions with your company data within hours.	When you chat with Amazon Q, it provides relevant information and advice to help streamline tasks, speed decision-making, and help spark creativity and innovation at work. Amazon Q doesn’t connect with popular LLMs such as ChatGPT but provides its own model.

AXYS Connector Hub: The Key to Unleashing Amazon Q’s Potential with AXYS

Even though the AXYS platform can fully manage data integration and AI enablement in hours within a company’s private cloud environment, AXYS can also stand as a potent enabler for Amazon Q, offering a unique solution for companies facing data sharing restrictions or seeking greater control over their data integration processes. If your organization is cautious about the frequency and type of data transactions with Amazon Q or is concerned about relying on third-party connectors beyond your company’s or Amazon’s oversight, AXYS presents a compelling alternative. It simplifies the connection to Amazon Q through no-code mapping, swiftly generating APIs for immediate data integration. This functionality not only preserves your data governance standards but also grants the flexibility to pivot away from Amazon Q if necessary.

In essence, AXYS serves as “ONE Connector Hub” to Amazon Q, ensuring that your data remains within the purview of your company’s compliance and security protocols. It’s a bridge that respects the sovereignty of your data while leveraging the advanced AI capabilities of Amazon Q for customer service features. By integrating with AXYS, you can harness the full spectrum of data analytics and AI-enhanced insights with the added assurance of maintaining a tight rein over your data landscape. This strategic alliance between AXYS and Amazon Q unlocks new potential for businesses, combining the ease and rapid deployment of AXYS with the sophisticated AI and analytics prowess of Amazon Q in case of not using AXYS AI-enablement included for the LLMs such as ChatGPT.

Frequently asked questions

Everything you need to know about AXYS Platform

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AI, LLM, Prompting, and Search

General AXYS Platform Overview

Integration and Connectivity

Pricing and Licensing

AI, LLM, Prompting, and Search

Can I test prompts live for my structured data within AXYS?

Yes, AXYS allows you to test prompts live against your structured data directly within the platform. You can quickly see how different prompts perform, review AI-generated answers, and refine your prompts in real time—all through an intuitive, no-code interface. This helps you optimize prompt quality, accuracy, and relevance before deploying them for wider use.

Can I use AXYS to build Retrieval Augmented Generation (RAG) workflows for AI agents?

Yes, AXYS is purpose-built to fully support Retrieval Augmented Generation (RAG) workflows for your AI agents. The platform provides pre-built, proprietary RAG pipelines that are ready to use out of the box, enabling your agents to instantly retrieve and leverage relevant data, structured or unstructured, for more accurate and contextual responses. With AXYS’s intuitive, no-code interface, you can easily connect, organize, and structure all your data sources, set up RAG pipelines without any custom development, and customize every aspect of the workflow. This includes selecting data sources, filtering data, designing prompts, and formatting outputs to fit your specific business needs. By optimizing each query, AXYS enhances the quality of AI-generated responses while also reducing token usage and operational costs for large language models.

Will AXYS support asking statistical questions from our data using LLMs like OpenAI?

Yes, AXYS fully supports asking statistical questions from your data using large language models (LLMs) like OpenAI. The platform enables you to analyze both structured and unstructured data, generate summaries, identify trends, and extract insights through natural language queries. This makes it easy for anyone to perform complex statistical analysis and reporting without the need for coding or specialized data skills.

General AXYS Platform Overview

What is AXYS, and how is it different from other data integration platforms?

AXYS is an all-in-one, no-code data orchestration platform designed to unify, clean, and connect all your business data—whether structured or unstructured—from databases, files, SaaS applications, and more. Unlike traditional data integration tools that often require months of engineering and complex coding, AXYS can be deployed and start delivering value within days. The platform automatically generates secure, AI-ready APIs, connects instantly to a wide variety of data sources, and prepares your data for advanced AI and large language model (LLM) projects. With AXYS, even non-technical teams can manage, analyze, and optimize data quickly and efficiently, removing engineering roadblocks and accelerating AI adoption for your business.

Integration and Connectivity

Can AXYS handle both structured and unstructured data?

Yes, AXYS is designed to handle both structured and unstructured data seamlessly. The platform can connect to databases, spreadsheets, and other structured sources, as well as process unstructured content like documents, emails, PDFs, and more. This versatility ensures you can unify, analyze, and make use of all your business data—regardless of format—within a single platform.

What data types does AXYS support for unstructured data?

AXYS supports a wide range of unstructured data types, including PDFs, Word documents, Excel spreadsheets, plain text files, CSV files, emails, and other text-based documents. Any document containing readable text can be ingested, indexed, and analyzed by the platform, making it easy to unify and search across all your unstructured business content.

Pricing and Licensing

What is the approximate cost per question for structured and unstructured data before caching?

With AXYS, the average complex query across all your structured or unstructured data uses just 3,000 to 4,000 tokens, thanks to our highly efficient design. This translates to a typical cost of about $0.02 to $0.03 per question when using OpenAI or similar large language models. For comparison, the industry average for similar queries is often close to 100,000 tokens, which means AXYS offers dramatic savings. After a response is cached, the cost for repeating the same question can drop to nearly zero, making AXYS exceptionally cost-effective for both new and recurring queries.