About Us

Azul Tech was founded in 2023 with the mission to develop a comprehensive solution for data virtualization.

Our target audience includes medium to large enterprises and government institutions that require a unified access layer for their diverse data sources.

Our Product

Data virtualization is a technology that enables logical data management. It creates a unified data access layer, allowing users to search and work with all corporate data through logical or virtual views of physical sources—such as data warehouses, data lakes, transactional and analytical databases, data processing services, and APIs from cloud and enterprise applications.

This centralized logical layer enables real-time access to data across multiple, heterogeneous sources.

Logical data management powered by data virtualization reduces integration and delivery costs while enhancing agility and operational efficiency.

Data virtualization significantly:

• Simplifies data integration by quickly generating unified views from scattered data sources
• Unifies data security and governance through centralized policy enforcement
• Accelerates data delivery, offering users data in the exact format they need to make informed decisions

Key Product Features

Logical Data Abstraction
Presents all data assets in an abstracted form, decoupled from the underlying source systems where data is physically stored.

Universal Connectivity & Data Publishing Services
Connects seamlessly to a wide range of data sources and allows publishing via standard interfaces such as SQL, JSON, REST, and GraphQL.

Centralized Security & Governance
Enforces fine-grained, centralized security and governance policies across all data and access methods, including detailed audit logs of data access.

Flexible Data Integration
Adapts to a variety of use cases—from real-time federation to selective materialization (caching, aggregations), full replication (ETL/ELT, micro-batching), and streaming.

Advanced Semantics
Includes a data catalog that simplifies data discovery using AI-driven recommendations and collaborative tools, powered by business-oriented semantics tailored to data consumers’ needs.

Intelligent Query Acceleration
Supports the implementation of a high-performance data access engine, multi-source query optimization, and parallel query execution.

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