At present, the solution of various transport problems using information technologies is of great practical interest. To work with databases containing huge amounts of information, their structuring, thorough analysis and making optimal decisions, researchers and analysts actively use various systems, such as database management systems (DBMS) or business intelligence systems. Despite this, the integration of such systems, which can improve the quality of decisions, is still not widely used. Purpose: is to develop the integration technology between the business intelligence system and the DBMS, which allows you to work effectively with a huge amount of data when solving transport tasks. Methods: The integration of the systems under consideration is implemented using the PostgreSQL 11 DBMS and the Loginom Community analytical platform. Results: a full cycle of system integration has been completed, including the creation and filling of a database in the PostgreSQL 11 system, as well as its connection to the Loginom Community analytical platform for data structuring, analysis and further decision-making. Practical relevance: the main distinguishing feature of the implemented technology is the full compatibility of two systems initially responsible for different tasks: a database with an extensive ecosystem of available tools, and a platform that provides deep analytics capabilities for making optimal management decisions. The reasons and advantages of the integration of the above systems, as well as their application in solving specific transport problems, are presented. Discussion: when solving the problem of ensuring integration, the practical application of a DBMS and a business intelligence system is considered. Using PostgreSQL 11, two databases are formed, which are integrated with the Loginom Community analytical platform. It is advisable to continue further research in the areas of practical use of integration for the analytics of large database arrays, as well as in the interests of improving the quality of managerial decision-making in transport problems.