TitanRDM - Dedicated Reference Data Management

Powerful, lightweight, and developer-friendly RDM built for data warehouse/lakehouse, data integration and data migration – across all platforms.

“TitanRDM has allowed us to offload the management of various mappings to the business team, letting them work autonomously to classify customer accounts without IT getting involved. ”
Jack Syan
Michael Ryan

Intuitive, Customizable, and Scalable Data Entry

Polkadots

User-friendly UI with configurable bulk upload and batch editing - ideal for managing reference data efficiently.

Unlike generic database tables or spreadsheets, TitanRDM provides structure, governance, and usability without the friction of a full-blown Master Data Managment (MDM) tool.

Intuitive, Excel like data entry.Drag and drop to bulk update cells, use dropdowns for valid values, or search for related data in other tables. You can import and merge data from CSV or Excel. Data can even be version controlled. Define approved processes if desired.

It's also easy to create new RDM tables. You can manually define fields, or import the schema from CSV, Excel or even SQL. Define mappings to other tables, fields with valid values, ranges and default values. You can even define parent-child hierarchies.

Sign up for a Free account to try TitanRDM.

Sign Up

Seamless Integration with Data Pipelines and Platforms

Works where developers work. TitanRDM supports Python, SQL, and API SDKs to load and extract reference data easily. Compatible with data platforms, ETL pipelines, and data integration tools without requiring heavy middleware. Unlike rigid Master Data Management (MDM) tools that need dedicated integrations, TitanRDM plugs into existing data flows naturally.
Snowflake Snowflake
Databricks Databricks
BigQuery BigQuery
Redshift Redshift
Microsoft Fabric Microsoft Fabric
dbt dbt
Python Python
SQL SQL

Application Use Cases

Use Cases across Data Warehousing, Data Migration, Data Integration, Admin Interfaces, Regulatory and Compliance Reporting, and Operational Data Management.

Data Warehousing

Hierarchy management, classification, and augmentation to support business intelligence and reporting.

Data Migration

RDM ensures accurate mapping of codes and values between legacy and new systems, reducing migration errors.

Data Integration

Harmonize data across multiple systems by managing consistent mappings and standardizations.

Admin Interfaces

Build simple apps that integrate with workflow.

Regulatory & Compliance Reporting

Used to align internal organisational data to external regulatory reporting needs, classifications and formats.

Operational Data Management

Supports business process automation by enabling standardized lookup values for operational systems.

Fast and Lightweight Implementation No MDM Overhead

Polkadots

Traditional Master Data Managment (MDM) tools require a multi-year enterprise initiative, forcing businesses into complex golden record management, data stewardship models, and heavy governance workflows.

TitanRDM lets organizations quickly implement Reference Data Management for data warehouses, lakehouses, migration and integration projects without entangling them in MDM's complexities. TitanRDM can still form part of an MDM or data governance initiative but doesn't have too!

TitanRDM supports development best practices including branching and merging, allowing administrators and developers to work independently. You can create or modify RDM tables and deploy to production as needed, including pulling and merging data across environments if desired.