Text-to-SQL vs traditional BI
Turns plain-language questions into SQL and builds live dashboards over your own databases. Ask in Azerbaijani, Russian or English.
Text-to-SQL vs Traditional BI: Which Approach Fits Your Team?
Traditional BI platforms have long been the standard for converting raw database records into structured dashboards and reports, but they carry a significant operational cost: trained analysts must write queries, configure data models, and publish reports before anyone else on the team can get answers. That bottleneck means business questions often wait hours or days for resolution, and non-technical staff remain dependent on a small group of specialists to interpret data on their behalf. For organizations operating in fast-moving environments, that lag is a genuine competitive disadvantage rather than a minor inconvenience.
Key Benefits of the Allmaz Text-to-SQL Approach
Ask questions in Azerbaijani, Russian, or English — team members work in whichever language they think in, with no requirement to standardize around a single interface language
Receive live answers drawn directly from your own databases the moment a question is asked, eliminating the wait for an analyst to build or update a report
Every answer surfaces the exact SQL query that was executed, giving managers, analysts, and auditors a clear, verifiable record of how each result was produced
Read-only by design: the system connects through a least-privilege role restricted to SELECT operations only, so no write, update, or deletion can ever be triggered through the tool
Self-hosted on any Docker host you control, ensuring sensitive business data remains entirely within your own infrastructure and is never transmitted to external services
Live dashboards connect directly to your databases and reflect the current state of your data at query time, removing the stale exports and manual refresh cycles that plague traditional BI workflows
How Text-to-SQL and Traditional BI Compare Feature by Feature
Query Interface
Traditional BI tools require users to drag and drop fields or rely on analysts to write SQL. Text-to-SQL accepts plain-language questions typed in everyday language, lowering the barrier for non-technical staff to access data directly.
Multilingual Support
Most general-purpose BI platforms are built around English interfaces. The Allmaz solution natively understands Azerbaijani, Russian, and English, so your team can ask questions in whichever language they think in.
Transparency and Auditability
Traditional BI dashboards often obscure the underlying logic. With Text-to-SQL, the exact SQL query run for every answer is shown to the user, making it straightforward to verify, share, or challenge any result.
Data Security Model
Cloud-based BI services may require sending data or credentials to external servers. The Allmaz tool is self-hosted on any Docker host and operates with a read-only, least-privilege database role, so your data never leaves your environment and cannot be modified through the tool.
Dashboard Freshness
Traditional BI workflows often involve scheduled exports or manual data refreshes that can leave dashboards out of date. Live dashboards here connect directly to your databases, reflecting the current state of your data at query time.
Setup and Ownership
Managed BI platforms handle infrastructure for you but introduce vendor dependency. Dropping onto any Docker host means your team owns the deployment, controls upgrades, and is not locked into a third-party service.
How Text-to-SQL Works in Practice
Frequently Asked Questions
Can the tool modify or delete data in my database?
No. The system connects through a read-only role that is restricted to SELECT operations only. It is designed by default to prevent any writes, updates, or deletions, making accidental or unauthorized data changes architecturally impossible through the tool.
Does my data leave my servers?
No. The solution is entirely self-hosted and deploys onto any Docker host you control. Your data is queried and returned within your own infrastructure at every step, and nothing is transmitted to external services.
What languages can my team use to ask questions?
The system natively supports Azerbaijani, Russian, and English. Team members can ask questions in whichever language they are most comfortable with, and there is no requirement to standardize your team around a single working language.
How can I verify that an answer is correct?
Every answer includes the exact SQL query that was executed to produce it. You or any analyst on your team can review that query, copy it, and run it independently against your database to confirm the result — giving you a fully auditable trail for every data point surfaced through the tool.
Do I still need a BI analyst or data engineer to use this?
Not for day-to-day questions. Non-technical team members can type plain-language questions and receive live answers without any SQL knowledge. Technical staff remain valuable for the initial database connection setup, for configuring the least-privilege read-only role, and for reviewing the logic behind complex or unfamiliar queries.
Ready to Let Your Team Ask Questions in Plain Language?
See how the Allmaz Text-to-SQL tool connects to your existing databases, supports your team's working languages, and keeps your data fully under your control. Get in touch with Allmaz to discuss your setup.
Request a demo