VITESS

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Vitess is a database clustering system for horizontal scaling of MySQLVitess combines many important MySQL features with the scalability of a NoSQL database. Its built-in sharding features let you grow your database without adding sharding logic to your application.Vitess eliminates the high-memory overhead of MySQL connections. Vitess servers easily handle thousands of connections at once.Vitess automatically rewrites queries that hurt database performance. It also uses caching mechanisms to mediate queries and prevent duplicate queries from simultaneously reaching your database.

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VITESS

Social Links:

Industry:
Information Technology Software

Founded:
2010-01-01

Address:
Mountain View, California, United States

Country:
United States

Website Url:
http://www.vitess.io

Status:
Active

Technology used in webpage:
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Current Employees Featured

sugu-sougoumarane_image

Sugu Sougoumarane
Sugu Sougoumarane Co-Founder & CTO @ Vitess
Co-Founder & CTO

Founder


sugu-sougoumarane_image

Sugu Sougoumarane

Official Site Inspections

http://www.vitess.io Semrush global rank: 1.49 M Semrush visits lastest month: 16.5 K

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  • IP address: 75.2.60.5
  • Location: Seattle United States
  • Latitude: 47.54
  • Longitude: -122.3032
  • Metro Code: 819
  • Timezone: America/Los_Angeles
  • Postal: 98108

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More informations about "Vitess"

Vitess | Scalable. Reliable. MySQL-compatible. Cloud-native.

Vitess improves on MySQL performance through query rewriting, caching and connection pooling. This allows the number of concurrent client connections to scale to orders of magnitude higher …See details»

Vitess - Crunchbase Company Profile & Funding

Vitess is located in Mountain View, California, United States. Who are Vitess's competitors? Alternatives and possible competitors to Vitess may include SqlDBM, ShiftWizard, and QSAN. …See details»

GitHub - vitessio/vitess: Vitess is a database clustering system for ...

See details»

The Vitess Docs | What Is Vitess

Oct 15, 2024 Â· Vitess is a database solution for deploying, scaling and managing large clusters of open-source database instances. It currently supports MySQL and Percona Server for …See details»

The Vitess Docs | Learning Resources

Lizz van Dijk demonstrates how to migrate from a regular MySQL release to Vitess. Lizz van Dijk presents an introduction to Vitess for MySQL users. Sugu Sougoumarane gives an overview …See details»

Vitess - Database of Databases

Vitess is a middleware layer for scaling out MySQL. Vitess was first built at Youtube in 2011. It has since been spun out as a standalone open-source project in the Cloud Native Computing Foundation.See details»

Vitess: Easy database deployment, clustering, and scaling!

Dec 6, 2021 Â· Vitess is a database solution for deploying, sizing, and managing large clusters of open source database instances. It currently supports MySQL, Percona, and MariaDB. It is architected to work...See details»

Vitess, with Jiten Vaidya and Sugu Sougoumarane

Nov 26, 2019 Â· Vitess is a cloud native database clustering system for horizontal scaling of MySQL. It was built for YouTube, open sourced, and has recently graduated from the CNCF. …See details»

Vitess: Easy database deployment, clustering, and scaling!

Dec 22, 2021 Â· Vitess is a database solution for deploying, sizing, and managing large clusters of open source database instances. It currently supports MySQL, Percona, and MariaDB. It is …See details»

Planet Scale and Vitess: A Technical Deepdive - Medium

Apr 14, 2023 Â· Vitess is a MySQL solution designed for deploying, scaling, and managing big data. PlanetScale offers Vitess in the cloud, providing a GUI, CLI, and, most recently (Jan ‘23), an API.See details»

GitHub - github/vitess-gh: Vitess is a database …

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 …See details»

Announcing Vitess 10 - CNCF

Apr 27, 2021 Â· With the release of V10.0, we can proudly say that Vitess (unsharded) passes all automated end-to-end tests of the Ruby on Rails framework. Now, even if Rails isn’t what you …See details»

The Vitess Docs | Overview

Jun 13, 2024 Â· The Vitess overview documentation provides general information about Vitess that's less immediately practical than what you'll find in Get Started section and the User Guides.See details»

Vitess - CNCF

6 days ago Â· MySQL-compatible, horizontally scalable, cloud-native database solution. Vitess was accepted to CNCF on February 5, 2018 at the Incubating maturity level and then moved to the …See details»

Announcing Vitess 19 | CNCF

Mar 6, 2024 Â· Vitess 19 introduces several SQL syntax improvements and compatibility features, including: Support for AVG() aggregation function on sharded keyspaces, utilizing a …See details»

The Vitess Docs | Get Started

Oct 3, 2023 Â· Vitess supports binary deployment on the following platforms. See also Build On CentOS, Build on MacOS, or Build on Ubuntu if you are interesting in building your own binary, …See details»

vitess command - vitess.io/vitess - Go Packages

Oct 29, 2024 Â· Vitess is a database clustering system for horizontal scaling of MySQL through generalized sharding. By encapsulating shard-routing logic, Vitess allows application code and …See details»

The story of Vitess - DEV Community

We talk about its origin inside YouTube, how Vitess handles sharding, Deepthi’s journey to Vitess maintainer, how when you should begin using it, and how it fits into cloud native infra. Discuss …See details»

Scalable. Reliable. MySQL-compatible. Cloud-native. Database.

Vitess is a popular CNCF project that is used to scale some of the largest MySQL installations in the world — by companies like Slack, Square, Shopify, and GitHub. It provides sharding, …See details»

Announcing Vitess 21 | CNCF

Oct 29, 2024 Â· Vitess 21 introduces experimental support for recursive CTEs, allowing more complex hierarchical queries and graph traversals. This feature enhances query flexibility, …See details»

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