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Qovery avatar

Qovery/Replibyte

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Replibyte

Replibyte is a tool that automates the lifecycle of database snapshots for non-production environments, handling the export, anonymization, subsetting, and restoration of data. It is designed to support privacy-compliant development workflows by replacing sensitive production data with synthetic values and extracting consistent subsets of rows while preserving referential integrity.

The tool operates through a configurable pipeline defined in a YAML file, orchestrating stages such as dump, anonymize, subset, and restore. Each operation runs as an isolated, ephemeral container job, and snapshots are stored as encrypted files in remote object storage services like S3 or GCS. Replibyte also manages snapshot retention by automatically removing dumps based on age or count, and it can seed development databases with realistic, anonymized production data.

The project provides a command-line interface for configuring and triggering these operations, with support for running as a lifecycle job within deployment environments.

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Features

  • Relational Database Subsetting - Extracts a configurable percentage of rows while following foreign-key relationships to maintain referential integrity.
  • Encrypted Snapshots - Stores database dumps as encrypted snapshots in remote object storage for secure data at rest.
  • Encrypted Snapshot Dumpers - Creates encrypted snapshots of databases and stores them in remote cloud object storage.
  • Non-Production Data Pipelines - Automates export, anonymization, and restoration of database content for non-production environments.
  • Data Seeding Utilities - Restores production database snapshots into development environments for realistic testing.
  • Production Snapshot Seeding - Restores anonymized production snapshots into non-production environments for realistic development testing.
  • Production Data Subsetting - Extracts a configurable percentage of rows from database tables while preserving referential integrity.
  • Database Snapshots - Automates dumping, encrypted storage, and lifecycle cleanup of database snapshots in cloud object storage.
  • Data Anonymization - Replaces sensitive production data with synthetic values to meet privacy regulations before moving data to non-production environments.
  • Column-Level Anonymization - Automatically replaces specified columns with anonymized values during the restore process to protect private information.
  • Database Anonymization Tools - Replaces sensitive production data with synthetic values during database restores to ensure privacy compliance.
  • Configuration Workflows - Defines the entire data lifecycle pipeline through a YAML configuration file for repeatable operations.
  • Database Lifecycle Pipelines - Orchestrates database operations as a sequence of dump, anonymize, subset, and restore stages.
  • Production Data Seeding - Restores realistic, anonymized production snapshots into development or staging databases for accurate testing.
  • Anonymization Rules - Replaces sensitive database column values with synthetic data during restore for privacy compliance.
  • Remote Object Storage Integrations - Transfers and retrieves database snapshots directly from cloud object storage services like S3 or GCS.
  • Ephemeral Job Runners - Executes each database lifecycle stage as an isolated, ephemeral container job.
  • Backup Lifecycle Automation - Automates retention policies by removing old or excess database dumps based on age or count.
4,381 stars·137 forks·Rust·gpl-3.0·21 views

Star history

Star history chart for qovery/replibyteStar history chart for qovery/replibyte

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does qovery/replibyte do?

Replibyte is a tool that automates the lifecycle of database snapshots for non-production environments, handling the export, anonymization, subsetting, and restoration of data. It is designed to support privacy-compliant development workflows by replacing sensitive production data with synthetic values and extracting consistent subsets of rows while preserving referential integrity.

What are the main features of qovery/replibyte?

The main features of qovery/replibyte are: Relational Database Subsetting, Encrypted Snapshots, Encrypted Snapshot Dumpers, Non-Production Data Pipelines, Data Seeding Utilities, Production Snapshot Seeding, Production Data Subsetting, Database Snapshots.

Which projects share features with qovery/replibyte?

Projects with overlapping indexed features include: nucleuscloud/neosync — NeoSync is a database synchronization tool and data pipeline orchestrator designed to move and transform datasets… lk-geimfari/mimesis — Mimesis is a Python synthetic data generator used to create realistic fake datasets and mock data for software testing… microsoft/presidio — Presidio is a PII detection and anonymization framework designed to identify and mask personally identifiable… wisser/jailer — Jailer is a suite of specialized tools for AI-assisted SQL management, referential integrity preservation, and… knex/knex — Knex is a multi-dialect database client that provides a programmatic SQL query builder, a connection pool manager, and… codelion/optillm — OptiLLM is an inference proxy and gateway router that directs prompts to specific language models based on cost,…