vitess
Greenplum
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vitess | Greenplum | |
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60 | 9 | |
17,834 | 6,198 | |
1.6% | 1.0% | |
9.9 | 9.9 | |
1 day ago | 7 days ago | |
Go | C | |
Apache License 2.0 | Apache License 2.0 |
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.
vitess
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A MySQL compatible database engine written in pure Go
With Vitess likely merging a lot of its binaries into a single unified binary: https://github.com/vitessio/vitess/issues/7471#issuecomment-...
... it would be a wild future if Vitess replaced the underlying MySQL engine with this as long as the performance is good enough.
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The challenges of supporting foreign key constraints
Thank you for the compliment!
We recently started adding support for CTEs in Vitess! You can check out https://github.com/vitessio/vitess/pull/14321 if you want to see some technical details of the implementation.
For now, we have added preliminary support by converting them to derived tables internally, but we believe that we need to make CTEs first-class citizens themselves of query planning. Once we make that change, we can look towards supporting recursive CTEs.
This however will take some time, but then, all good things do!
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Vitess 18
Why would it be a Google project? https://github.com/vitessio/vitess
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PlanetScale Scaler Pro
This is great news. I strolled around https://github.com/vitessio/vitess/issues/12967.
Are there any public discussions of more trade-offs vitess has to make to enable fks?
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What is the best database technology to use to create a new chat app today?
MySQL + Vitess I noticed Slack gets by using MySQL because they're using Vites. From Slack's post (https://slack.engineering/scaling-datastores-at-slack-with-vitess/) it seems like they choose Vites because it facilitated a smooth transition because it's built on top of MySQL.
- Vitess – Scalable. Reliable. MySQL-Compatible. Cloud-Native. Database
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How can I avoid duplicate API calls in a serverless infra?
This sounds very similar to the connection pooling done by vitess https://vitess.io/.
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Scaling Databases at Activision [pdf]
https://github.com/vitessio/vitess/issues/12967
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Want to avoid MySQL but find PlanetScale really appealing
A lot of this is possible thanks to the magic of Vitess.
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Vitess 16
"Vitess is a database clustering system for horizontal scaling of MySQL."
https://github.com/vitessio/vitess
Greenplum
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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
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Show HN: Postgres WASM
I was wondering if anyone had thought about using this to experiment with the planner.
The engineering and support teams at Greenplum, a fork of Postgres, have a tool (minirepro[0]) which, given a sql query, can grab a minimal set of DDLs and the associated statistics for the tables involved in the query that can then be loaded into a "local" GPDB instance. Having the DDL and the statistics meant the team was able to debug issues in the optimizer (example [1]), without having access to a full set of data. This approach, if my understanding is correct, could be enabled in the browser with this Postgres WASM capability.
[0] https://github.com/greenplum-db/gpdb/blob/6X_STABLE/gpMgmt/b...
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Amazon Aurora's Read/Write Capability Enhancement with Apache ShardingSphere-Proxy
A database solution architect at AWS, with over 10 years of experience in the database industry. Lili has been involved in the R&D of the Hadoop/Hive NoSQL database, enterprise-level database DB2, distributed data warehouse Greenplum/Apache HAWQ and Amazon’s cloud native database.
- Greenplum Database – Massively Parallel PostgreSQL for Analytics
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What’s the Database Plus concept and what challenges can it solve?
Today, it is normal for enterprises to leverage diversified databases. In my market of expertise, China, in the Internet industry, MySQL together with data sharding middleware is the go to architecture, with GreenPlum, HBase, Elasticsearch, Clickhouse and other big data ecosystems being auxiliary computing engine for analytical data. At the same time, some legacy systems (such as SQLServer legacy from .NET transformation, or Oracle legacy from outsourcing) can still be found in use. In the financial industry, Oracle or DB2 is still heavily used as the core transaction system. New business is migrating to MySQL or PostgreSQL. In addition to transactional databases, analytical databases are increasingly diversified as well.
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Data Science Competition
Green Plum
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Inspecting joins in PostgreSQL
PostgreSQL is a free and advanced database system with the capacity to handle a lot of data. It’s available for very large data in several forms like Greenplum and Redshift on Amazon. It is open source and is managed by an organized and very principled community.
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What’s so special about distributed SQL? Ask us anything!
2003 - https://greenplum.org/
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Using Postgres as a Data Warehouse
There's Greenplum!
What are some alternatives?
tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial
citus - Distributed PostgreSQL as an extension
supabase - The open source Firebase alternative.
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
go-mysql-elasticsearch - Sync MySQL data into elasticsearch
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
kingshard - A high-performance MySQL proxy
dremio-oss - Dremio - the missing link in modern data