Axenix: Dat.ax Comprehensive Data Development and Management Environment

Main article: Data management

Dat.ax is a comprehensive environment for the development, management and development of data platforms and analytical systems. The Dat.ax functionality allows you to build an end-to-end process for automating the development of data products from the emergence of new requirements to industrial operation.

2025: Inclusion in the "Register of Russian Software"

On February 21, 2025, Axenix announced that the data management solution Dat.ax included on December 20, 2024 in the Register of Russian Software.

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Фото: Freepik

As reported, Axenix has been implementing data warehouses and building analytical systems for more than 20 years. During this time, the company's specialists have accumulated significant expertise in the implementation of such projects, developed and tested the implementation methodology, and implemented a set of accelerators that allow them to carry out projects. All this experience was embodied in the form of a ready-made solution.

Working on projects related to solving analytical problems and data processing, we saw the market's need for an end-to-end system for creating and developing data warehouses in various formats, regardless of the technologies that are used for implementation. The Axenix team has identified system barriers to solving these problems, and in the past few years such projects have been complicated by the need for implementation. import-independent ON We received a request from our clients to create a methodology and solution that will cover all stages of working with data and will be convenient for all involved employees, be it, business analyst data engineer, architect or DevOps specialist. told Mikhail Alexandrov, technical head of the development center Dat.ax

Dat.ax integrates and integrates the following tasks into a single, user-transparent data management process:

• Metadata management in the design and development of data warehouses and analytical systems
• Managing CI-CD releases and processes in data warehouse development
• data preparation, including development of routine ETL\ELT processes, data quality management;
• Machine Learning Model Management (ML Ops).

The listed components can be used independently of each other or together.

Dat.ax supports a federated approach to working with data and is consistent with the Data Mesh methodology, thus helping to quickly and efficiently ensure the transition to the domain structure of data management.

According to the developers, as of February 2025, the Dat.ax is a mature solution consisting of three modules:

• Dat.ax.Meta - closes the needs for metadata management in the design and development of data warehouses and analytical systems;
• Dat.ax.Low Code ETL - solves the problems of routine data preparation and data quality management;
• Dat.ax.AIToolkit - allows you to quickly gain value from machine learning models by putting them into commercial operation and making this process manageable.

The innovation of the Dat.ax is to ensure that teams work together on different components for managing data and metadata in a single, consistent style. With the help of Dat.ax, a company can assemble existing or new components of QCD into a single import-independent enterprise-level platform.

Axenix notes that the toolkit is Dat.ax in demand by the teams responsible for the creation and management of QCD in organizations and enterprises of a wide range of industry orientations. The key product opportunity is: optimization of development and reduction of time-to market indicator, optimization of processes, routine operations, reduction of operating costs. A business user working with data in QCD is Dat.ax comfortable with a self-service approach, which allows you to independently, without deep technical skills, combine data from various sources, carry out the necessary transformations and calculations, including with elements of statistical algorithms and AI algorithms.