Centralized management of corporate data

Tantor DLH

Migrations execution

Data load and integrations

Analytics and reporting

Data load streams orchestration

Документация

Сравнение редакций

Fast creation of data marts, complex analytics, and reporting. Accelerated launch of new products.

A wide range of connectors enables integration with various data sources — from internal corporate systems to external APIs — ensuring a complete and coherent data picture

Built-in tools for metadata storage and processing provide a unified understanding of data structure, origin, and context, which is critical for quality management and regulatory compliance

Tantor DLH is modular: companies can implement only the necessary components, adapting the system to their current needs and the scale of their digital transformation

In large companies, it typically takes about a month from setting a task to delivering a new business report. Tantor DLH significantly reduces this timeframe and enables more efficient use of the data team's resources.

The shortest path from data sources to analytics

Usage scenarios

Data warehouse construction

Tantor consolidates data from heterogeneous sources with support for historical tracking and built-in data quality management mechanisms. This provides a reliable and consistent foundation for analytics and informed decision-making

Data transformation

The system supports a full-fledged ETL process: data normalization, deduplication, aggregation, filtering, and sorting. All transformations are performed according to a predefined model, ensuring data integrity and readiness for analysis

Distributed database synchronization

Tantor maintains data consistency across geographically distributed nodes — for example, between regional offices and the central system — using built-in support for logical and streaming replication

Online updates to reporting systems

Changes in data sources are captured in real time and transmitted to analytics and reporting systems. This enables the creation of up-to-date reports and forecasts without delay, improving business responsiveness to change

High speed of changes in data processing workflows

Data extraction from various sources
Data processing and transformation
Batch and online data loading
Data aggregation
Report building and visualization
Data loading schedule management

Tantor DLH provides a complete data loading and processing pipeline

Without using professional ETL/ELT systems, large datasets must be processed through custom code, requiring significant effort from data engineers and analysts. With Tantor DLH, these resource demands are minimized

Add a new data source, start an import, build a new data mart — with Tantor DLH, these operations can be easily and quickly performed by the client’s own staff. There is no need to contact the vendor

Using the platform does not require deep technical expertise

Reduced overall maintenance costs

Vendor lock-in avoidance (self-service)

Simple operation

Low total cost of ownership for the data platform

Tantor DLH significantly simplifies migration processes from foreign solutions and the creation of a unified data platform

Liberation from overseas legacy infrastructure

Configuring imports through a graphical interface

Visual data transformation schema builder

Automatic creation of DB objects (schemas, tables) for data storage

Automatic mapping of data types from various source formats

Ability to save and apply predefined configurations for data sources

Switching between batch and streaming data loading

Reports generation and visualization

Advantages of Tantor DLH

Interactive dashboards featuring essential metrics alongside alerts for deviations

New aggregated tables to reduce time-to-market for new products

Quality data samples for neural network training

Project leaders

ML experts

Data analytics

Designed for anyone working with data

Simplified data platform control following DMBoK best practices

Data engineers

Aggregated data from multiple sources for operational decision-making

Linear management

Tantor DLH development roadmap

Role-based access control (RBAC)

Data access segregation

Adding import sources such as Kafka and RabbitMQ

Data export to external sources

Configuration of read and write streams

Ability to create notification rules based on raw data queries

Q3–Q4 2025

Data quality management and metadata management

Reference data management

Extraction of reference data from source entities

Creation and versioning of reference directories

Application of reference directories to raw data

2026–2027

Get in touch

If you have any question, just let us know!