copycat
Greenplum
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copycat | Greenplum | |
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13 | 9 | |
316 | 6,199 | |
4.8% | 1.0% | |
8.8 | 9.9 | |
2 months ago | 3 days ago | |
TypeScript | C | |
MIT License | Apache License 2.0 |
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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.
copycat
- Resend – Incident report for February 21st, 2024
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Greenmask: PostgreSQL Dump and Obfuscation Tool
Check out https://www.snaplet.dev (I'm the founder). We do exactly this.
- Pgtemp: The easiest way to write tests with Postgres in Rust, without Docker
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Supabase Branching
Testing with product workloads today? If you need to test with production workloads today, check out Snaplet and Postgres.ai. Both are great partners of Supabase.
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How Modern SQL Databases Are Changing Web Development - #3 Better Developer Experience
It’s worth noting that being able to branch production data for testing easily doesn’t mean you should just do it. It poses a significant risk of leaking sensitive user data. You should consider using tools like Snaplet to transform and anonymize sensitive columns.
- Show HN: Seed your Postgres development database with production-like data
- Show AWS: Snaplet clones a subset of your Postgres RDS instance, whilst anonymizing the data, so that you can restore it into your development environments: Local, staging, and preview.
- Show HN: Seed your Postgres database with production-like data
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Databricks acquires serverless Postgres vendor bit.io
[disclosure: I'm the founder of Snaplet]
I think there are a lot of different reasons why people may want to use a service like bit.io, but if you want a database with data in it to code against, run tests against, reproduce production related data-bugs, and run e2e tests against then check out https://www.snaplet.dev.
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Postgres WASM by Snaplet and Supabase
For now, this is very experimental - but it has a lot of potential. If you want to get involved, please reach out to us or the team at [Snaplet(https://www.snaplet.dev/). The work they're doing over at Snaplet is incredible, and we've had a blast collaborating with them.
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?
Replibyte - Seed your development database with real data ⚡️
citus - Distributed PostgreSQL as an extension
faker - Generate massive amounts of fake data in the browser and node.js
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
falso - All the Fake Data for All Your Real Needs 🙂
ClickHouse - ClickHouse® is a free analytics DBMS for big data
helm-charts - neondatabase helm charts
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
fakey - web-based fake data generator.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
postgres-wasm - A PostgresQL server in your browser
dremio-oss - Dremio - the missing link in modern data