Pythian Acquires Blackbird.io_MySQL
Today, we officially announced the fact that Blackbird.io has been acquired by Pythian. I first met its founder, Paul Vallee, in 2007. Paul reached out to me about joining Pythian to found a San Francisco presence. At the time, I was one year into PalominoDB, and was having such a good time being my own boss and building a business that I politely declined. Since then, Paul and I have caught up at PerconaLive (O’Reilly’s MySQL conf for you old schoolers) regularly - using the time to catch up, share successes (and failures), and discuss the marketplace at large. We’ve also competed, healthily and as good sports.
Over those 6 years since that first contact, I’ve also fallen in love with the world of open-source data, both big and small. I’ve enjoyed working on the IOUG mysql conference, presenting at Percona Live, Kaleidoscope, Velocity and more. I’ve really enjoyed meeting and building great collegial relationships with people from Pythian, from Percona, from SkySQL/MariaDB, SeveralNines, Codership, Mozilla and from so many MySQL shops, big and small.
About 2 years ago, I realized the company had really gone to the level when we began working with the Obama for America campaign, followed immediately by one of the largest online games in the industry (which DriveDev brought in). It was that time that I had really begun to fully embrace the future of cloud computing, database as a service, and the culture of DevOps that could harness automation, orchestration, continuous delivery and so much more to drive unparalleled value to our clients; not to mention making our lives as DBAs so much easier.
The last 6 months as Blackbird.io has truly been a whirlwind. Having one’s team go from 25 to 55 pushed me as a leader and executive in ways I didn’t anticipate. I’ve had some truly magical moments, and some spectacular ball drops. Greatest of all, I’ve seen what I consider to be the future of IT service delivery converge with the world of databases, which is truly my passion.
So, after this year’s PerconaLive, when Paul and I sat down to discuss DevOps, the future of service organizations and the status of the ecosystem, that previous offer began to percolate. It was also around this time we began to realize that the opportunity ahead of us was huge, and the time to take market share was limited. Thus, I reached out to Paul. In two months, my co-founders, Aaron Lee and Vicki Vance, and the full executive team at Pythian pushed through a business transaction that has truly been massive. I can already see a great fit in culture, in drive, in passion and in work ethic. The excitement and pride I feel right now in what has come of the work of three companies, 4 founders and a team of over 300 is unparalleled.
Thank you Blackbird, every one of you! And thank you Pythian. Here’s to a very exciting road ahead.

热AI工具

Undresser.AI Undress
人工智能驱动的应用程序,用于创建逼真的裸体照片

AI Clothes Remover
用于从照片中去除衣服的在线人工智能工具。

Undress AI Tool
免费脱衣服图片

Clothoff.io
AI脱衣机

Video Face Swap
使用我们完全免费的人工智能换脸工具轻松在任何视频中换脸!

热门文章

热工具

记事本++7.3.1
好用且免费的代码编辑器

SublimeText3汉化版
中文版,非常好用

禅工作室 13.0.1
功能强大的PHP集成开发环境

Dreamweaver CS6
视觉化网页开发工具

SublimeText3 Mac版
神级代码编辑软件(SublimeText3)

MySQL在Web应用中的主要作用是存储和管理数据。1.MySQL高效处理用户信息、产品目录和交易记录等数据。2.通过SQL查询,开发者能从数据库提取信息生成动态内容。3.MySQL基于客户端-服务器模型工作,确保查询速度可接受。

InnoDB使用redologs和undologs确保数据一致性和可靠性。1.redologs记录数据页修改,确保崩溃恢复和事务持久性。2.undologs记录数据原始值,支持事务回滚和MVCC。

MySQL是一种开源的关系型数据库管理系统,主要用于快速、可靠地存储和检索数据。其工作原理包括客户端请求、查询解析、执行查询和返回结果。使用示例包括创建表、插入和查询数据,以及高级功能如JOIN操作。常见错误涉及SQL语法、数据类型和权限问题,优化建议包括使用索引、优化查询和分表分区。

MySQL在数据库和编程中的地位非常重要,它是一个开源的关系型数据库管理系统,广泛应用于各种应用场景。1)MySQL提供高效的数据存储、组织和检索功能,支持Web、移动和企业级系统。2)它使用客户端-服务器架构,支持多种存储引擎和索引优化。3)基本用法包括创建表和插入数据,高级用法涉及多表JOIN和复杂查询。4)常见问题如SQL语法错误和性能问题可以通过EXPLAIN命令和慢查询日志调试。5)性能优化方法包括合理使用索引、优化查询和使用缓存,最佳实践包括使用事务和PreparedStatemen

选择MySQL的原因是其性能、可靠性、易用性和社区支持。1.MySQL提供高效的数据存储和检索功能,支持多种数据类型和高级查询操作。2.采用客户端-服务器架构和多种存储引擎,支持事务和查询优化。3.易于使用,支持多种操作系统和编程语言。4.拥有强大的社区支持,提供丰富的资源和解决方案。

MySQL与其他编程语言相比,主要用于存储和管理数据,而其他语言如Python、Java、C 则用于逻辑处理和应用开发。 MySQL以其高性能、可扩展性和跨平台支持着称,适合数据管理需求,而其他语言在各自领域如数据分析、企业应用和系统编程中各有优势。

MySQL适合小型和大型企业。1)小型企业可使用MySQL进行基本数据管理,如存储客户信息。2)大型企业可利用MySQL处理海量数据和复杂业务逻辑,优化查询性能和事务处理。

MySQL索引基数对查询性能有显着影响:1.高基数索引能更有效地缩小数据范围,提高查询效率;2.低基数索引可能导致全表扫描,降低查询性能;3.在联合索引中,应将高基数列放在前面以优化查询。
