Citus vs. Single-Node Postgres Database | A Side-by-Side Comparison
Ғылым және технология
In this demo of the Citus database, engineer Marco Slot shines a light on the performance of the Citus extension to PostgreSQL, and the benefits of scaling out Postgres horizontally. Citus is available as open source, as a fully-managed database as a service, and as enterprise software that can be run anywhere. Today Citus is often used by SaaS teams building multi-tenant applications, as well as developers building real-time analytics applications that need sub-second response times across billions of records.
Marco showed the original version of this demo in a keynote at PostgresOpen Silicon Valley. People found it so useful that we decided to retool it and share more broadly. The Citus database cluster that Marco creates to compare against a regular Postgres node is a 4-node Citus database cluster with 244GB total RAM and 32 vCPUs, hosted in Citus Cloud (that’s our managed database as a service.)
You can learn more about how Citus transforms Postgres into a distributed database at: www.citusdata.com/product
Read stories about how other enterprises and SaaS businesses are using Citus to scale out Postgres today, in some pretty impressive use cases:
www.citusdata.com/customers/
Join the Citus database community’s public slack channel:
slack.citusdata.com/
Star the GitHub repo for the open source Citus database:
github.com/citusdata/citus
Пікірлер: 8
postgresql has arrived in 11.x version. do you guys have newest benchmark result?
Why so expensive on Azure only? Why no on AWS, Heroku, DigitalOcean and so on?? It really sucks make solution monopolized by M$
repo_id is not primary key - so how you have created it??
How can i create a Citus Cluster on my local servers?
@sanjayapoudel4539
4 жыл бұрын
Did you got the result or even tried for this ? i am also following the same. Sharding is only available in the enterprise version.
@prashanthb6521
3 жыл бұрын
@@sanjayapoudel4539 PostgresXL !
postgres=# select * from pgbench_history; Time: 320.778 ms postgres=# SELECT create_distributed_table('pgbench_history', 'aid'); NOTICE: Copying data from local table... NOTICE: copying the data has completed DETAIL: The local data in the table is no longer visible, but is still on disk. HINT: To remove the local data, run: SELECT truncate_local_data_after_distributing_table($$public.pgbench_history$$) create_distributed_table -------------------------- (1 row) Time: 955.560 ms postgres=# select * from pgbench_history; Time: 1341.283 ms (00:01.341) ??? Time is increase! any other bench do the same
Sound effects take away from seriousness make it sound like a snakeoil ad.