vitess
go-mysql-elasticsearch
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| vitess | go-mysql-elasticsearch | |
|---|---|---|
| 60 | 1 | |
| 17,834 | 4,070 | |
| 1.6% | 0.3% | |
| 9.9 | 0.0 | |
| 1 day ago | 6 months ago | |
| Go | Go | |
| Apache License 2.0 | MIT License |
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.
vitess
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A MySQL compatible database engine written in pure Go
With Vitess likely merging a lot of its binaries into a single unified binary: https://github.com/vitessio/vitess/issues/7471#issuecomment-...
... it would be a wild future if Vitess replaced the underlying MySQL engine with this as long as the performance is good enough.
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The challenges of supporting foreign key constraints
Thank you for the compliment!
We recently started adding support for CTEs in Vitess! You can check out https://github.com/vitessio/vitess/pull/14321 if you want to see some technical details of the implementation.
For now, we have added preliminary support by converting them to derived tables internally, but we believe that we need to make CTEs first-class citizens themselves of query planning. Once we make that change, we can look towards supporting recursive CTEs.
This however will take some time, but then, all good things do!
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Vitess 18
Why would it be a Google project? https://github.com/vitessio/vitess
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PlanetScale Scaler Pro
This is great news. I strolled around https://github.com/vitessio/vitess/issues/12967.
Are there any public discussions of more trade-offs vitess has to make to enable fks?
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What is the best database technology to use to create a new chat app today?
MySQL + Vitess I noticed Slack gets by using MySQL because they're using Vites. From Slack's post (https://slack.engineering/scaling-datastores-at-slack-with-vitess/) it seems like they choose Vites because it facilitated a smooth transition because it's built on top of MySQL.
- Vitess – Scalable. Reliable. MySQL-Compatible. Cloud-Native. Database
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How can I avoid duplicate API calls in a serverless infra?
This sounds very similar to the connection pooling done by vitess https://vitess.io/.
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Scaling Databases at Activision [pdf]
https://github.com/vitessio/vitess/issues/12967
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Want to avoid MySQL but find PlanetScale really appealing
A lot of this is possible thanks to the magic of Vitess.
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Vitess 16
"Vitess is a database clustering system for horizontal scaling of MySQL."
https://github.com/vitessio/vitess
go-mysql-elasticsearch
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go-mysql-mongodb: replicate data from MySQL to MongoDB
later I needed to synchronize MySQL data to Elasticsearch, I found another tool go-mysql-elasticsearch, try it After a while, I found that this tool is relatively lightweight and simple to configure and deploy. The workflow of this tool is as follows:
What are some alternatives?
tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial
supabase - The open source Firebase alternative.
Tile38 - Real-time Geospatial and Geofencing
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
Squirrel - Fluent SQL generation for golang
citus - Distributed PostgreSQL as an extension
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
kingshard - A high-performance MySQL proxy
prometheus - The Prometheus monitoring system and time series database.
immudb - immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history