An alternative to the BI analyst backlog
An alternative to the BI analyst backlog: a local, on-prem alternative for Azerbaijani business — see how Hermes compares.
Accelerate Your Path from Question to Answer
Most business teams are trapped in a cycle of dependency: write a ticket, wait for a BI analyst, review the output, and repeat. This operational backlog slows critical decision-making and keeps non-technical stakeholders dependent on a single human bottleneck. When data is locked behind a queue, agility is lost, and the gap between a business question and a data-driven answer grows too wide for the modern pace of industry. Hermes, developed by Allmaz, solves this by providing a self-hosted, on-premises analytics assistant. It empowers anyone on your team to ask plain-language questions and receive live, SQL-backed answers directly from your own databases. By removing the need for an intermediary analyst for every basic query, Hermes transforms your data from a static resource into a dynamic conversation, ensuring that insights are available the moment they are needed.
Why Teams in Azerbaijan are Modernizing Their Analytics
Trilingual Support: Ask questions in Azerbaijani, Russian, or English to match your team's native workflow.
Real-Time Insights: Access live data directly from your databases instead of relying on stale exports or static reports.
Total Transparency: Every answer displays the exact SQL executed, eliminating 'black box' results and building trust.
Enterprise-Grade Security: A read-only, least-privilege role ensures Hermes can only SELECT data and never modify it.
Complete Data Sovereignty: Self-hosted on your own infrastructure, ensuring your sensitive data never leaves your environment.
Rapid Deployment: Docker-native architecture allows the tool to drop onto any host and fit seamlessly into existing operations.
Key Differentiators from Conventional BI Tools
Plain-language to SQL
Type a question the way you would ask a colleague. Hermes translates it into SQL and queries your database in real time, removing the need to know query syntax or wait for someone who does.
Live dashboards over your own databases
Dashboards reflect the current state of your data because they connect directly to your databases rather than to a cached data warehouse or a manually refreshed spreadsheet.
Full SQL transparency
Every answer surfaces the exact SQL statement that produced it. Your team can audit, copy, or hand off that query at any time — trust is built into the workflow, not bolted on afterward.
Read-only by design
Hermes operates under a least-privilege role that is restricted to SELECT operations. Analysts and executives can explore freely without any risk of accidental data modification.
Trilingual interface
Azerbaijani, Russian, and English are supported natively, making Hermes practical for the full range of teams operating in Azerbaijan's business environment.
On-premises, Docker-native deployment
Hermes is self-hosted and packaged for Docker, so it runs inside your own infrastructure. There is no cloud dependency, no data transfer to a third-party service, and no vendor lock-in.
From Deployment to First Answer
Frequently Asked Questions
Can Hermes modify or delete data in our databases?
No. Hermes is read-only by design. It connects through a least-privilege role restricted to SELECT operations, meaning it is technically impossible for the tool to insert, update, or delete any records.
Does our data leave our servers during the query process?
No. Because Hermes is fully self-hosted on your own Docker infrastructure, it queries your databases locally. No data is ever transmitted to Allmaz or any external third-party service.
Which languages are supported for natural language queries?
Hermes natively supports Azerbaijani, Russian, and English, allowing team members to interact with their data in the language they are most comfortable with.
How can we verify that the AI-generated answers are accurate?
Transparency is a core feature: every answer is accompanied by the exact SQL query used to generate it. This allows your technical team to inspect, copy, or independently verify the logic at any time.
What is the technical requirement for the initial setup?
Hermes is packaged as a Docker image, meaning it can be deployed on any host that supports Docker. If your organization already uses containerized workloads, the deployment is straightforward and fast.
Ready to Clear Your Analytics Backlog?
See how Hermes fits your infrastructure. Contact the Allmaz team to arrange a walkthrough with your own data.
Request a demo