DQ DATABASE
– THE POWERFUL MULTIDIALECT DATABASE PLATFORM
AUTOMATICALLY
Native support for the dialect and the TDS protocol enables MS SQL migration without involving software developers.
MS SQL Compatibility Features
- Support for all T-SQL syntax constructs
- Support for all MS SQL data types
- Support for IDENTITY fields and @@IDENTITY constructs
- Support for @@SPID session identifiers
- Support for all documented built-in functions
- Support for multiple system tables, views, and sp_ stored procedures
- TDS protocol-based connectivity, with external applications (e.g., Microsoft SSMS) recognizing DQ Database as MS SQL Server
FASTER
Pre-integrated support for the Oracle dialect (PL/SQL) and the emulation of Oracle Instant Client enable rapid migration from Oracle
Oracle Compatibility Features
- Support for all PL/SQL syntax constructs
- Support for all native Oracle data types
- Support for core system tables and views (e.g., all_objects)
- Support for the most popular UTL and DBMS packages
- Support for the %type, %rowtype, %rowcount and other constructs
- Support for user-defined types and nested tables
- Support for all officially documented Oracle DBMS built-in functions
- Client-side emulation library for Oracle Instant Client — The customer can choose to connect either via this library or via a Java driver
CHALLENGES WE ADDRESS
in the Legacy Code
and high-integrity data storage
for System Softwar
DQ DATABASE COMPONENTS
A graphical web interface for configuring, administrating and monitoring DQ Database
- Logical data replication between DQ Database nodes.
- Connection Polling: Management of the pool of connections between client applications and database instances.
- Ensuring high availability and fault tolerance of systems based on DQ Database.
- Data Migration Wizard for the transfer of data from Oracle, MS SQL Server and PostgreSQL into DQ Database.
- Data Migration Quality Assurance Wizard used to validate the quality of data migration between the above databases and DQ Database.
- Full technical documentation.
- Guidelines for setup of continuous replication of data changes from Oracle and MS SQL databases into DQ Database.
- Use cases.
- Video overview of key features.
- Distributed key-value store for mission-critical data in distributed systems.
- High-availability cluster management tools.
- Connection pool management utility.
- DQ Database Security Package: A set of extensions that provide protection against unauthorized access, ensure configuration integrity for the DBMS, databases, stored procedures, and enable comprehensive logging of security events.

FACTS & FIGURES
DQ DATABASE VS POSTGRESQL
– KEY ENHANCEMENTS
(Version 17.4 is based on the PostgreSQL 17 core; Version 18.0 uses the PostgreSQL 18 core).
requirements for security, scalability and fault tolerance
WHO CAN USE DQ DATABASE
DQ DATABASE USE CASES
KEY ADVANTAGES
Management Systems
Management Systems
TRAINING, TECHNICAL SUPPORT, MIGRATION PROJECTS
DQ DATABASE — The Hybrid DBMS for Corporate Systems
DQ Database is a cutting-edge database management system designed for fast and secure migration of corporate IT infrastructures from other DBMS platforms—with no code rewrites and no loss of performance.
Key Advantages
- Seamless Migration from other database management systems (Oracle, MS SQL, PostgreSQL) without the vast application rework. Support for queries and functionality of popular dialects.
- Hybrid Core — A synergy of relational, columnar, and in-memory technologies to optimize storage and processing for data of any volume.
- Comprehensive Offering — From purchasing just the DBMS to the comprehensive solution, complimented with consulting services or delivered as part of other software solutions offered by our Company.
- Savings Time and Budget — Rapid testing of hypotheses, assessment of the migration scope, reduced TCO, and transparent licensing.
What businesses is DQ Database suited for?
The product is optimally designed for:
- Banks and financial institutions
- Government agencies
- Defense industry
- Large enterprises
- IT integrators and telecom companies
- Organizations handling mission-critical data that demand reliability, scalability, and regulatory compliance.
Solution Tasks
- Stable and fast migration from other DBMS platforms
- Minimizing transition costs and personnel retraining
- Ensuring business process continuity
- High availability, security, and data protection
Technological Features
- Intuitive administrative console
- Reliable backup and flexible recovery
- Effective access management and integration with corporate IT landscapes
Technological Features
Implementation is supported by training programs and certification for administrators and integrators. This includes regular updates and SLA-driven technical support.
DQ Database is the modern standard for seamless migration, speed, and technological independence of your business.
DQ Database is a hybrid database management system (DBMS), based on the synergy of relational, columnar, and in-memory data storage technologies.
Core Functions
- Data Management: Creating, editing, and deleting records in the database.
- Query Processing: Executing data operations in specialized query languages.
- Administration: Controlling user access and ensuring security.
- Backup & Recovery: Creating data copies and restoring them in case of failure.
- Monitoring: Tracking changes and system statuses.
DBMS Components:
- System Kernel
- Language Processor for query handling (query processor)
- Data Manipulation Subsystems
- Utility Software
- Administrative Console
Data Storage Types
The following data models are supported:
- Relational Databases: Storing information in related tables.
- Object-Oriented Systems: Representing data as objects with attributes.
- Hierarchical Structures: Organizing data in tree-like schemas
Benefits
- Data Security: Protection against unauthorized access.
- Data Integrity: Prevention of data loss.
- Scalability: Ability to expand the system.
- High Performance: Optimization for large data volumes.
- Ease of Administration: Simple system control and management.
Use Cases
- Corporate Information Systems,
- Web Applications,
- Mobile Apps,
- Analytical Platforms,
- Content Management Systems,
- Banking and Financial Applications.
A Database Management System is a critically important IT component. It ensures reliable storage, efficient management, and secure use of data across various use fields. Thanks to its wide range of functions and capabilities, DQ Database helps customers to streamline information handling, increase productivity, and ensure data protection.
The choice of the DBMS depends on the specific task, data volume, and performance requirements. When selected and configured correctly, the system can significantly improve the quality of information management and ensure the effective functioning of business processes.
In today’s environment, DQ Database is not merely an advantage but a necessity for the successful business development.
