In today’s fast-paced business environment, businesses need to be able to quickly and easily access essential data. One of the most common solutions for optimizing data retrieval is through enterprise search and data fabric solutions. Here are five things your business should consider when selecting an enterprise search and data fabric solution:
1. Understand your data structure
A good enterprise search solution should validate against multiple sources of information including account processes and customer product orders. It must process a variety of formats (XML, JSON, etc.) that can follow corporate models or leverage industry standard models such as DDEX/DEPREC 2. It must also provide quick searching capabilities to locate requested items from structured and unstructured sources quickly.
2. Access Security Requirements
Using access control policies is an important component of enterprise search solutions. With appropriate security protocols in place, it’s possible to filter out certain information based on its sensitive nature or personnel levels authorized to view such material. Additionally, your business must ensure that the platform remains compliant with current regulations and audit requirements such as PCI compliance and GDPR regulations respectively.
3. Data Storage
Your enterprise search solution must be able to store large amounts of data in a secure manner while still providing quick access for users who need to reference its contents for strategic decision-making. Data fabrics offer streamlined storage options for rapidly expanding datasets by allowing organizations to tie together separate elements in a unified format which can then power any connected system including web services or applications within the organization’s ecosystem.
4. Manageability & Support
You’ll need a platform with comprehensive management capabilities so you have complete oversight over the entire life cycle of your system – from creating indexing strategies, and ingesting different types of content all the way up to reporting on usage statistics and managing user groups across different environments i.e Production / Staging, etc. Additionally, depending on how complex the initial setup will be required it might be worth looking into managed service vendors who offer support packages tailored around your specific requirements during the setup phase and later deployments if needed.
5 Cost Considerations
Last but not least, you should analyze cost considerations associated with deploying & running each type of Enterprise Search & Data Fabric Solutions against pre-defined SLA’s; this includes Infrastructure costs – Hardware / Cloud / Private cloud hosting, maintenance costs, training costs, 3rd party integration costs if applicable, License fees, etc.. Choosing an “all in one” vendor helps save time & Money when integrating components like content ingestion, and query DSL parsers amongst others. Similarly choosing open-source solutions over cloud providers can also help customers save costs going forward once the initial setup is deployed properly.
Frequently asked questions
Everything you need to know about AXYS Platform
AI, LLM, Prompting, and Search
Branding and Customization
Integration and Connectivity
Pricing and Licensing
Usability, Support, and Operations
AI, LLM, Prompting, and Search
AXYS offers a no-code approach to AI prompting and model integration, making it simple for any user to connect data and interact with AI models. The platform intelligently analyzes your connected data schemas and suggests optimized prompts tailored to your unique data structure, helping you get more accurate and relevant results from AI models like OpenAI. AXYS can even use its own built-in AI to refine or enhance your prompts, automatically generating the most effective questions and responses for your use case. This seamless process allows businesses to integrate powerful AI and LLM capabilities without manual coding, complex engineering, or guesswork—accelerating AI adoption and improving outcomes.
Branding and Customization
Yes, AXYS is highly customizable to meet your unique business and industry requirements. The platform offers flexibility across backend integrations, frontend dashboards, model fine-tuning, prompt control, and business workflow automation—allowing you to tailor every aspect to your company’s technical and operational needs. Whether you want to build custom business dashboards, integrate with proprietary systems, or fine-tune AI model interactions, AXYS can adapt quickly. Additionally, our skilled engineering team is available at a discounted rate to help implement advanced customizations at a fraction of traditional development costs, so you can achieve your goals efficiently and affordably.
Integration and Connectivity
AXYS comes ready to connect with a wide range of popular databases, file storage services, SaaS applications, and cloud platforms. Out of the box, AXYS supports connectors for Microsoft Azure, AWS RDS and S3, MySQL, Google Workspace, SharePoint, Salesforce, Jira, QuickBooks, HubSpot, BambooHR, Okta, FreshDesk, Google Analytics, Authorize.net, PayPal, Constant Contact, CSV and Excel files, and more. If you have a source not currently listed, AXYS can easily add new connectors based on customer needs or popular demand, ensuring compatibility with virtually any business system.
Pricing and Licensing
Yes, AXYS is purpose-built to minimize LLM and OpenAI costs for your organization. By leveraging proprietary Retrieval Augmented Generation (RAG) workflows and intelligent data filtering, AXYS reduces the amount of data sent to AI models—cutting token usage by up to 98.8 percent compared to industry averages. AXYS also provides built-in real-time tracking and monitoring tools so you can see exactly how many tokens are being used for each query. This transparency helps you optimize prompt design, monitor usage, and control costs efficiently as your AI adoption grows.
AXYS pricing is fully transparent and predictable, based primarily on the number of active data connectors rather than usage volume, so you never have to worry about hidden fees or unexpected costs. You can use our website’s calculator to estimate your monthly price in advance. AXYS plans start as low as $2,000 per month for unlimited usage, which is a fraction of the cost of hiring a single junior engineer. Substantial enterprise discounts are also available for larger teams or multiple integrations. For personalized pricing and enterprise quotes, contact our sales team—AXYS delivers the power of a full senior engineering team at a predictable, budget-friendly rate.
The cost to run AXYS in your AWS environment is extremely efficient and starts as low as $150 per month for a basic setup. AXYS offers several deployment options, allowing you to choose the right environment size and resources to match your business needs. As your requirements grow, the infrastructure costs can scale flexibly based on data volume, processing power, and availability preferences, but AXYS is designed to keep cloud costs minimal and predictable for companies of any size.
Usability, Support, and Operations
AXYS offers comprehensive support to ensure a smooth onboarding and deployment experience. Our team assists you with connecting your first data sources, building effective prompts, and adding predefined questions so you can get immediate value. We guide you through setup, configuration, and familiarizing yourself with the system until you’re ready to manage everything independently. For fast and convenient help, you get a direct Slack channel for near real-time support, along with access to a dedicated account manager and responsive technical support options. This multi-channel support model is designed to help you succeed from day one and as your needs evolve.