awesome-go-storage
tidb
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| awesome-go-storage | tidb | |
|---|---|---|
| 7 | 27 | |
| 4,266 | 36,134 | |
| 1.2% | 1.0% | |
| 4.1 | 10.0 | |
| 4 months ago | 4 days ago | |
| Go | ||
| MIT License | 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.
awesome-go-storage
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Building a Log-Structured Merge Tree in Go
Awesome Go Storage (GitHub)
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Open Source Databases in Go
Any many many more. Check https://github.com/gostor/awesome-go-storage
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Zig, Hare, Odin, Vale, V, Jai
C is significantly slower at concurrency when implemented naively. It's as fast as languages like Go when implemented using the same techniques, which is not obvious and trivial to use like in a higher level GC'd language. GC actually helps out a ton there, for example look at the complexity of async/await in Rust which requires the notion of pinning.
https://github.com/gostor/awesome-go-storage#database
https://java-source.net/open-source/database-engines
Not a database but honorable mention, LMAX disrupter: https://lmax-exchange.github.io/disruptor/
- Embedded database options
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Which database do you recommend to be used with Golang?
You may want to start from here: awesome-go-storage and choose what fit your needs
- New Open Source RDBMS idea (written in Golang) (Help wanted)
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A distributed Posix file system built on top of Redis and S3
This is neat! I am quite a fan of all the go based file systems that are springing up. Question: what are the main compare and contrast points between juice and seaweed fs?
Here is a compendium for those interested:
https://github.com/gostor/awesome-go-storage
tidb
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A MySQL compatible database engine written in pure Go
tidb has been around for a while, it is distributed, written in Go and Rust, and MySQL compatible. https://github.com/pingcap/tidb
Somewhat relatedly, StarRocks is also MySQL compatible, written in Java and C++, but it's tackling OLAP use-cases. https://github.com/StarRocks/starrocks
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Show HN: GitHub Organization Analytics
It's MySQL-Compatible database for scale and real-time analytics https://github.com/pingcap/tidb
- TiDB: An open-source distributed MySQL compatible database
- TiDB: Open-source, cloud-native, distributed, MySQL compatible database
- Embed hard-coded SQL into binaries for a cleaner look!
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Ask HN: Who is hiring? (January 2023)
PingCAP | https://www.pingcap.com | Database Engineer, Product Manager, Developer Advocate and more | Remote in California | Full-time
We work on a MySQL compatible distributed database called TiDB https://github.com/pingcap/tidb/ and key-value store called TiKV.
TiDB is written in Go and TiKV is written in Rust.
More roles and locations are available on https://www.pingcap.com/careers/
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Banco de dados puramente com go
Pesquise por CockroachDB ou TiDB
- MySQL-mimic - Python implementation of the MySQL server wire protocol.
- Apache Pegasus – A a distributed key-value storage system
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What is your experience with mixed workload (OLTP and OLAP) databases?
OLTP usually comes with high throughput of transactions, which means usually write(e.g., IUD - insert, update, delete) to read (e.g., select) ratio is above 4 or 5 or even higher. There are some good benchmarks to test OLTP workload like TPC-C (https://www.tpc.org/tpcc/), and some benchmarks to test OLAP workload like TPC-H (https://www.tpc.org/tpch/). For mixed or hybrid OLTP and OLAP (it's called HTAP, see this blog for some background https://en.pingcap.com/blog/the-beauty-of-htap-tidb-and-allo...), TPC-H was originally designed for this, however, it actually doesn't reveal the real world workload with several drawbacks. A newer research work from UC Berkeley proposed a HTAP benchmark called TAOBench (https://www.vldb.org/pvldb/vol15/p1965-cheng.pdf) which is pretty interesting and worthy to check.
For the HTAP systems, as mentioned in the above blog, there are quite a few industrial products, like Google just announced AlloyDB (https://cloud.google.com/alloydb), Snowflake's UniStore (https://www.snowflake.com/workloads/unistore/), and one of the most popular open source projects TiDB (https://github.com/pingcap/tidb) which have been deployed by many business applications.
Hopefully these may help a little bit :-)
What are some alternatives?
chai - Modern embedded SQL database
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
s3-benchmark - Measure Amazon S3's performance from any location.
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
juicefs - JuiceFS is a distributed POSIX file system built on top of Redis and S3.
oceanbase - OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.
redisraft - A Redis Module that make it possible to create a consistent Raft cluster from multiple Redis instances.
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
badger - Fast key-value DB in Go.
go-mysql-elasticsearch - Sync MySQL data into elasticsearch
awesome-htmx - Awesome things about htmx
go-mysql - a powerful mysql toolset with Go