Greenplum VS julia

Compare Greenplum vs julia and see what are their differences.

Greenplum

Greenplum Database - Massively Parallel PostgreSQL for Analytics. An open-source massively parallel data platform for analytics, machine learning and AI. (by greenplum-db)
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Greenplum julia
9 350
6,177 44,317
1.2% 0.8%
9.9 10.0
6 days ago 1 day ago
C Julia
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

Greenplum

Posts with mentions or reviews of Greenplum. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-11.
  • Ask HN: It's 2023, how do you choose between MySQL and Postgres?
    7 projects | news.ycombinator.com | 11 May 2023
    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

  • Show HN: Postgres WASM
    16 projects | news.ycombinator.com | 3 Oct 2022
    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...

  • Amazon Aurora's Read/Write Capability Enhancement with Apache ShardingSphere-Proxy
    5 projects | dev.to | 26 May 2022
    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.
  • What’s the Database Plus concept and what challenges can it solve?
    5 projects | dev.to | 10 May 2022
    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.
  • Data Science Competition
    15 projects | dev.to | 25 Mar 2022
    Green Plum
  • Inspecting joins in PostgreSQL
    2 projects | dev.to | 11 Jan 2022
    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.
  • Using Postgres as a Data Warehouse
    3 projects | /r/dataengineering | 11 May 2021
    There's Greenplum!

julia

Posts with mentions or reviews of julia. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-06.

What are some alternatives?

When comparing Greenplum and julia you can also consider the following projects:

citus - Distributed PostgreSQL as an extension

jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

NetworkX - Network Analysis in Python

Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.

rust-numpy - PyO3-based Rust bindings of the NumPy C-API

Numba - NumPy aware dynamic Python compiler using LLVM

F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp

StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)

Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).

LUA - A programming language based upon the lua programming language

PackageCompiler.jl - Compile your Julia Package

femtolisp - a lightweight, robust, scheme-like lisp implementation