core VS goio

Compare core vs goio and see what are their differences.

core

Build platforms that flexibly mix SQL, batch, and stream processing paradigms (by gazette)

goio

An implementation of IO, Stream, Fiber for golang inspired by cats and fs2 (by Primetalk)
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core goio
6 -
516 78
1.4% -
8.1 5.7
5 days ago 10 months ago
Go Go
MIT License 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.

core

Posts with mentions or reviews of core. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-09.
  • Lakehouse - event data
    1 project | /r/dataengineering | 19 Jul 2023
    If you happen to be putting together a platform then look at Gazette. We use it to read/write streaming data into nice and orderly "fragment files" in cloud storage. It provides excellent durability guarantees and turns out to be an extremely efficient way to handle both reads and writes of streaming data. Readers get handed out pre-signed cloud storage URLs that are fetched by the client, and writes are batched into time and/or size bounded "fragments" that are durably replicated until being uploaded into cloud storage.
  • Request for example Real Life programs in Go?
    2 projects | /r/golang | 9 Aug 2022
    this is a real time data streaming tool built with Go - https://github.com/gazette/core
  • Hacker News top posts: Jul 16, 2022
    4 projects | /r/hackerdigest | 16 Jul 2022
    Gazette – Build platforms that flexibly mix SQL, batch, and stream processing\ (0 comments)
  • Gazette – Build platforms that flexibly mix SQL, batch, and stream processing
    1 project | /r/hypeurls | 16 Jul 2022
    1 project | news.ycombinator.com | 16 Jul 2022
  • Issues we've encountered while building a Kafka based data processing pipeline
    2 projects | news.ycombinator.com | 18 Oct 2021
    If you're in the Go ecosystem, Gazette [0] offers transactional integrations [1] with remote DB's for stateful processing pipelines, as well as local stores for embedded in-process state management.

    It also natively stores data as files in cloud storage. Brokers are ephemeral, you don't need to migrate data between them, and you're not constrained by their disk size. Gazette defaults to exactly-once semantics, and has stronger replication guarantees (your R factor is your R factor, period -- no "in sync replicas").

    Estuary Flow [2] is building on Gazette as an implementation detail to offer end-to-end integrations with external SaaS & DB's for building real-time dataflows, as a managed service.

    [0]: https://github.com/gazette/core

goio

Posts with mentions or reviews of goio. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning goio yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing core and goio you can also consider the following projects:

Benthos - Fancy stream processing made operationally mundane

machine - Machine is a workflow/pipeline library for processing data

Commander - Build event-driven and event streaming applications with ease

go-streams - A lightweight stream processing library for Go

pg_cron - Run periodic jobs in PostgreSQL

yomo - 🦖 Stateful Serverless Framework for building Geo-distributed Edge AI Infra

go-formatter - A curated list of awesome Go frameworks, libraries and software

benthos - Fancy stream processing made operationally mundane [Moved to: https://github.com/benthosdev/benthos]

vala-www - Website of the Vala programming language

vectorsql - VectorSQL is a free analytics DBMS for IoT & Big Data, compatible with ClickHouse.