citus
psycopg2
Our great sponsors
citus | psycopg2 | |
---|---|---|
61 | 19 | |
9,677 | 3,177 | |
2.9% | 1.4% | |
9.5 | 7.2 | |
6 days ago | 17 days ago | |
C | C | |
GNU Affero General Public License v3.0 | BSD with attribution |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
citus
- SPQR 1.3.0: a production-ready system for horizontal scaling of PostgreSQL
-
Figma's Databases team lived to tell the scale
I see they don't mention Citus (https://github.com/citusdata/citus), which is already a fairly mature native Postgres extension. From the details given in the article, in sounds like they just reimplemented it.
I wonder if they were unaware of it or disregarded it for a reason —I currently am in a similar situation as the one described in the blog, trying to shard a massive Postgres DB.
-
PostgreSQL Is Enough
It is possible, if you pay for it. You can do Multi-AZ Clustered Instances in RDS, where you get the benefits of Multi-AZ failover with traffic sharing.
If you can run your own infra – at least on an EC2 level – you can do things like Citus [0] for Postgres, which is about as close to "just add database nodes" as you'll get.
-
Vitess 18
So while searching for something like this for postgres I came across citus. Any one know how that stacks up?
- Squeeze the hell out of the system you have
- Show HN: Hydra 1.0 – open-source column-oriented Postgres
-
Citus 12: Schema-based sharding for PostgreSQL
Not really. It's comparable to a regular Postgres upgrade.
But you can screw it up - see https://github.com/citusdata/citus/discussions/6934
-
Opinions and Suggestions for PostgreSQL Extension under Development
What about getting in touch with commercial organisations that have products/services based on PostgreSQL? For example Timescale, EDB, and Citus Data, or really any hosting provider that offers a managed PostgreSQL service.
-
Ask HN: It's 2023, how do you choose between MySQL and Postgres?
Friends don't let their friends choose Mysql :)
A super long time ago (decades) when I was using Oracle regularly I had to make a decision on which way to go. Although Mysql then had the mindshare I thought that Postgres was more similar to Oracle, more standards compliant, and more of a real enterprise type of DB. The rumor was also that Postgres was heavier than MySQL. Too many horror stories of lost data (MyIsam), bad transactions (MyIsam lacks transaction integrity), and the number of Mysql gotchas being a really long list influenced me.
In time I actually found out that I had underestimated one of the most important attributes of Postgres that was a huge strength over Mysql: the power of community. Because Postgres has a really superb community that can be found on Libera Chat and elsewhere, and they are very willing to help out, I think Postgres has a huge advantage over Mysql. RhodiumToad [Andrew Gierth] https://github.com/RhodiumToad & davidfetter [David Fetter] https://www.linkedin.com/in/davidfetter are incredibly helpful folks.
I don't know that Postgres' licensing made a huge difference or not but my perception is that there are a ton of 3rd party products based on Postgres but customized to specific DB needs because of the more liberalness of the PG license which is MIT/BSD derived https://www.postgresql.org/about/licence/
Some of the PG based 3rd party DBs:
Enterprise DB https://www.enterprisedb.com/ - general purpose PG with some variants
Greenplum https://greenplum.org/ - Data warehousing
Crunchydata https://www.crunchydata.com/products/hardened-postgres - high security Postgres for regulated environments
Citus https://www.citusdata.com - Distributed DB & Columnar
Timescale https://www.timescale.com/
Why Choose PG today?
If you want better ACID: Postgres
If you want more compliant SQL: Postgres
If you want more customizability to a variety of use-cases: Postgres using a variant
If you want the flexibility of using NOSQL at times: Postgres
If you want more product knowledge reusability for other backend products: Postgres
-
Can someone share experience configuring Highly Available PgSQL?
Citus - Citus is very much alive and is a thriving open-source and commercial product, but is not HA on its own. It is essentially distributed/sharded Postgres.
psycopg2
-
Underappreciated Challenges with Python Packaging
Back when I used Psycopg2, there was no -binary package, so you'd get libpq set up similarly to pg-native. Docs say:
> The binary package is a practical choice for development and testing but in production it is advised to use the package built from sources.
Relevant GitHub discussion: https://github.com/psycopg/psycopg2/issues/674
I dunno, this seems worse to me.
-
Has anyone made the switch from developing in Windows to macOS? Any general or specific advice about the switch?
psycopg2-binary. See https://github.com/psycopg/psycopg2/issues/1286.
-
Dockerize a Django, React, and Postgres application with docker and docker-compose | by Anjal Bam
psycopg2-binary, PostgreSQL Database adapter for python.
-
My Cookiecutter Django Setup
... # psycopg2==2.9.3 # https://github.com/psycopg/psycopg2 ...
-
How to deploy the Front-end(React) and Backend(Django) with Postgres at Heroku
psycopg2: Psycopg is a PostgreSQL adapter for the Python programming language.
-
How To Access And Query Your Amazon Redshift Data Using Python And R
Since Redshift is compatible with other databases such as PostgreSQL, we use the Python psycopg library to access and query the data from Redshift. We will then store the query results as a dataframe in pandas using the SQLAlchemy library.
- Exemplo de AWS API Gateway com Lambda pelo Terraform
-
Using YugabyteDB in Python App Development
Since we are going to use both PostgreSQL and Apache Cassandra data model, we need to install those two drivers: psycopg2 for PostgreSQL and Python Driver for Apache Cassandra.
What are some alternatives?
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
queries - PostgreSQL database access simplified
SQLAlchemy - The Database Toolkit for Python
Greenplum - Greenplum Database - Massively Parallel PostgreSQL for Analytics. An open-source massively parallel data platform for analytics, machine learning and AI.
PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
txpostgres - Twisted wrapper for asynchronous PostgreSQL connections
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
awesome-mysql - A curated list of awesome MySQL software, libraries, tools and resources
Python PG Extras - Python PostgreSQL database performance insights. Locks, index usage, buffer cache hit ratios, vacuum stats and more.
clickhouse-driver - ClickHouse Python Driver with native interface support
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.