Our Distributed Multi-master Postgres runs nicely (on most all flavors of Linux) in vm's, containers, bare metal, or a localhost sandbox.
You can join our Discord Server or learn more about our sponsor. Try our free Cloud Developer Edition to setup a global managed cluster in less than 90 seconds. Also check out our Docker or K8's Helm examples.
Node Pre-Reqs
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Use a non-root user from the command line
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Tested with Python 3.9 & 3.10
- Python 3.9 on EL8, EL9, SLE-15, & Amazon Linux 2023
- Python 3.10 on Ubuntu 22.04
- Experimental on Python 3.11 on Debian 12
- Experimental on Python 3.12 on Ubuntu 24.04 & Fedora 40
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optional: config password-less sudo if you want to autostart components with systemctl
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optional config password-less ssh to localhost for using
localhost cluster
commands
python3 -c "$(curl -fsSL https://pgedge-upstream.s3.amazonaws.com/REPO/install.py)"
Start by installling CLI on a single node (as per above) and then looking next at below examples.
Or try our Tutorials using Localhost Clusters.
spock - Multi-master w/ Conflict Resolution, Auto DDL and Delta Apply
pgedge/lolor - Large Object LOgical Replication
snowflake - Distribued sequences as unique as snowflakes
Supported Components - All the best such as pg12-17, Postgis, pgVector, Citus...
spock - Custom configure world's best logical & multi-master distributed Postgres
localhost - Create a localhost test cluster
cluster - Define & control a cluster of nodes
ace - The Anti-Chaos Engine efficiently assures your distributed data is in sync
db - Configure and control distributed PostgreSQL DB's
um - Update Manager commands
service - Service control commands
./pgedge install pg16 --start : install spock : install snowflake
./pgedge setup -U denis -P secret -d db1 --pg_ver 16
./pgedge localhost cluster-create cl1 2 : cluster app-install cl1 northwind