core
Build platforms that flexibly mix SQL, batch, and stream processing paradigms (by gazette)
Commander
Build event-driven and event streaming applications with ease (by jeroenrinzema)
Our great sponsors
core | Commander | |
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6 | - | |
516 | 64 | |
1.4% | - | |
8.1 | 0.0 | |
5 days ago | almost 3 years 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.
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.
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Lakehouse - event data
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.
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Request for example Real Life programs in Go?
this is a real time data streaming tool built with Go - https://github.com/gazette/core
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Hacker News top posts: Jul 16, 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
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Issues we've encountered while building a Kafka based data processing pipeline
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
Commander
Posts with mentions or reviews of Commander.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning Commander yet.
Tracking mentions began in Dec 2020.