vitess alternatives and similar packages
Based on the "Database" category.
Alternatively, view vitess alternatives based on common mentions on social networks and blogs.
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cockroach
CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement. -
tidb
TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications. -
Milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search -
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groupcache
groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases. -
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TinyGo
Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM. -
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bytebase
World's most advanced database DevSecOps solution for Developer, Security, DBA and Platform Engineering teams. The GitHub/GitLab for database DevSecOps. -
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go-cache
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications. -
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immudb
immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history -
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buntdb
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support -
pREST
PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new -
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xo
Command line tool to generate idiomatic Go code for SQL databases supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server -
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nutsdb
A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. -
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lotusdb
Most advanced key-value database written in Go, extremely fast, compatible with LSM tree and B+ tree. -
gocraft/dbr (database records)
Additions to Go's database/sql for super fast performance and convenience. -
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
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README
Vitess
Vitess is a database clustering system for horizontal scaling of MySQL through generalized sharding.
By encapsulating shard-routing logic, Vitess allows application code and database queries to remain agnostic to the distribution of data onto multiple shards. With Vitess, you can even split and merge shards as your needs grow, with an atomic cutover step that takes only a few seconds.
Vitess has been a core component of YouTube's database infrastructure since 2011, and has grown to encompass tens of thousands of MySQL nodes.
For more about Vitess, please visit vitess.io.
Vitess has a growing community. You can view the list of adopters here.
Reporting a Problem, Issue, or Bug
To report a problem, the best way to get attention is to create a GitHub [issue](.https://github.com/vitessio/vitess/issues ) using proper severity level based on this guide.
For topics that are better discussed live, please join the Vitess Slack workspace. You may post any questions on the #general channel or join some of the special-interest channels.
Follow Vitess Blog for low-frequency updates like new features and releases.
Security
Reporting Security Vulnerabilities
To report a security vulnerability, please email vitess-maintainers.
See [Security](SECURITY.md) for a full outline of the security process.
Security Audit
A third party security audit was performed by Cure53. You can see the full report [here](doc/VIT-01-report.pdf).
License
Unless otherwise noted, the Vitess source files are distributed under the Apache Version 2.0 license found in the LICENSE file.
*Note that all licence references and agreements mentioned in the vitess README section above
are relevant to that project's source code only.