yugabyte/yb-voyager
yugabyte/yb-voyager has 57 GitHub stars and 25 forks. GitHot measured 0 stars in 24 hours and 0 in 7 days. Last checked 2026-11-11 17:09 UTC. Last push 2026-10-29.
Comment ces chiffres sont mesurés
Data migration Engine for YugabyteDB database
What you can do
- Free and completely open source
- Identical steps and unified experience for all sources and destinations
- Chunks the source files
- Scales and auto tunes based on cluster size
Progression mesurée des étoiles
- in 24h
- 0
- in 7 days
- 0
- in 15 days
- Mise à jour retardée
- in 1 month
- Mise à jour retardée
Variations nettes sur des périodes qui se chevauchent, pas des totaux quotidiens. Les mesures absentes restent vides. Les étoiles indiquent l’intérêt, pas la qualité.
README.md
OriginalYugabyteDB Voyager
YugabyteDB Voyager is a powerful open-source data migration engine that accelerates cloud native adoption by removing barriers to moving applications to the public or private cloud. It helps you migrate databases to YugabyteDB quickly and securely.
YugabyteDB Voyager manages the entire lifecycle of a database migration, including cluster preparation for data import, schema-migration, and data-migration, using the yb-voyager command line utility.

You can migrate data to any one of the three YugabyteDB products (2.16.0.0 and later). The following cluster types are supported: Local YugabyteDB clusters, YugabyteDB Anywhere, YugabyteDB Managed
- Highlights
- Prerequisites and Install
- Migration Steps
- Current Product State and Roadmap
- Need Help?
- Contribute
- License
Highlights
- Free and completely open source
- Identical steps and unified experience for all sources and destinations
- Optimized for distributed databases
- Chunks the source files
- Scales and auto tunes based on cluster size
- Number of connections based on target configuration
- Parallelism across tables and within tables
- Idempotent
- Data import is resumable in case of disruption
- Visual progress for data export and import
- Scales with nodes and cpu
- Packaged for easy installation, one-click installer
- Safe defaults
- Direct data import from CSV and text files
Prerequisites and Install
For prerequisites like supported operating system, machine requirements, please refer to the Prerequisites section
Once the prerequisites are satisifed, you can install yb-voyager on a machine with operating systems like RHEL, Ubuntu, macOS, or even in Airgapped, or Docker environment or build using source. For detailed instructions, refer Install section
Migration Steps
The workflow to carry out a migration using yb-voyager is as follows:

More details regarding the entire migration workflow, starting from setting up your source and target databases, up until verifying the migration can be found in the Migration Steps on the YugabyteDB Voyager Docs.
Current Product State and Roadmap

Need Help?
You can ask questions, find answers, and help others on our Community Slack, Forum, Stack Overflow, as well as Twitter @Yugabyte
Please use GitHub issues to report issues or request new features.
Contribute
As an an open-source project with a strong focus on the user community, we welcome contributions as GitHub pull requests. See our Contributor Guides to get going. Discussions and RFCs for features happen on the design discussions section of our Forum.
License
Source code in this repository is variously licensed under the Apache License 2.0 and the Polyform Free Trial License 1.0.0. A copy of each license can be found in the licenses directory.
Explorer des projets similaires
Asabeneh/30-Days-Of-Python
Le défi de programmation 30 Days of Python est un guide pas à pas pour apprendre le langage de programmation Python en 30 jours. Ce défi peut prendre plus de 100 jours. Avancez à votre rythme. Ces vidéos peuvent aussi vous aider : https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,560 étoilesgrafana/grafana
Plateforme ouverte et composable d’observabilité et de visualisation de données. Visualise les métriques, les journaux et les traces issus de plusieurs sources, comme Prometheus, Loki, Elasticsearch, InfluxDB, Postgres et bien d’autres.
77,830 étoilesredis/redis
Pour les développeurs qui créent des applications en temps réel pilotées par les données, Redis est le cache, le serveur de structures de données et le moteur de requêtes documentaires et vectorielles préféré, le plus rapide et le plus riche en fonctionnalités.
77,395 étoilesapache/superset
Apache Superset est une plateforme de visualisation et d'exploration de données.
75,473 étoiles