CedarDB for developers and operators.
Everything you need to install, connect, and operate CedarDB from first query to production.
$ curl https://get.cedardb.com | bash
$ ./cedar/cedardb --interactive
-- schema
create table movies (
id integer primary key,
title text, year int, genre text);
create table stars (
id integer primary key,
name text, birthdate date);
create table starsIn (
movie_id int, star_id int);
-- query
select genre, avg(age(birthdate)) avg_age
from movies
join starsIn on movies.id = movie_id
join stars on star_id = stars.id
group by genre;Start Here
01
Install CedarDB
Run CedarDB locally, with Docker, or in the cloud and get to the first working instance quickly.
02Connect Your Tools
Use Python, Java, Grafana, DataGrip, psql, and the existing PostgreSQL client ecosystem.
03Load Real Data
Follow production-oriented guides for CSV, JSON, replication, benchmarking, and migration workflows.
Reference
Operate & Configure
Configuration, write cache behavior, upgrade guidance, and system details for running CedarDB predictably.
Check Compatibility
SQL behavior, ecosystem support, and client integration details to check before wiring CedarDB into your stack.
Understand the Engine
The technical material behind CedarDB's execution model, parallelism, and advanced capabilities.
Latest
CedarDB is under active development. See what changed in the latest release →