Goodbye, data management. Hello, data empowermen
Truly Control Your Data
With Glitra, data management is about more than just handling data. Glitra eliminates manual data management tasks and gives teams the power to control how they use their data, for any project, opportunity, or company.
Freedom to build and optimize data models of any scale and complexity
Synchronize your data operation. Programmatic access lets you execute data pipelines directly from 3rd party platforms. In addition, you can use existing data models templates, or create new blueprints that match your business needs.
Programmatic Data Modelling
Based on the principles of Infrastructure as Code (IaC), Programmatic Data Modeling allows teams to harness Rivery’s platform using a client’s command-line interface of choice. Create and execute data pipelines, data transformations, and more.
Build and Reuse Data Models
Build entire data models including ingestion, orchestration, transformation and mapping - ready for reports. Create blueprint data models that can be replicated or use an existing pre-built template.
Rivery enables teams to construct and clone environments. Generate custom environments for specific teams, divisions and projects. Duplicate any environment, including all pipelines and settings, to preserve data infrastructure and speed up operations.
With built-in versioning, Rivery automatically updates each data connector to match changes in the source API. Teams never have to worry about monitoring changes or taking projects offline.
Glitra provides the full data lineage for all data points that pass through the platform. Track each data point from ingestion to transformation, including origin, movement, and changes.
Data Governance, simplified.
Compliance & Security
From startups to global enterprises, Rivery protects all companies and their data with superior compliance and security protocols.
SOC 2 Type 2 Certification
Command-Line Interface: Built for Data Engineers
Glitra CLI enables data engineers to remotely execute, edit, deploy, and manage data pipelines via a command-line interface (CLI).
Edit & Update Pipelines Programmatically
Modify and store data pipelines as YAML configuration files. Push YAML files into Rivery to update corresponding data pipelines.
Enable Version Control
Sync pipeline logics - including SQL-based transformations - within version control systems (VCS) such as GitHub.
Implement DevOps for Data
Harness core DevOps practices - including CI/CD, debugging, and staging environments - by treating data pipelines as infrastructure as code (IaC).