In two weeks, thought leaders, database builders, and application developers are coming together for a free online conference to push the boundaries of cloud native RDBMS forward. Distributed SQL (Virtual) Summit, now in its second year, is taking place September 15-17.
We’re excited to announce that the 2020 Distributed SQL Summit schedule is now live!
Speakers include:
- VMware – Joe Beda, Principal Engineer
- Trifacta/UC Berkeley – Joe Hellerstein, Chief Strategy Officer & Professor
- Pinterest – Lianghong Xu, Storage & Caching Engineering Manager
- Rakuten Mobile – Hale Donertasli, Cloud Architect
- Kroger – Mahesh Tyagarajan, VP Engineering
- Twitter – Mehrdad Nurolahzade, Platform Engineer
- Mastercard – Ken Owens, VP Cloud Native Engineering
- Comcast – James Taylor, Principal Engineer
- Hasura – Allison Kunz, Solutions Engineer
For a complete list of speakers and workshops, check out the conference schedule.
In this post, we’ll cover what inspired us to host the free event, what you’ll get by joining, and some highlights you can expect this year.
Why Distributed SQL?
Cloud-native first designs are now the default way to build new scalable and resilient applications at any modern enterprise. At the same time, legacy applications are being modernized to be able to run in cloud environments. However, the choice of the database for these applications is non-trivial.
Traditional relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server were designed to run on a single node, which presents a challenge for modern applications being designed for resilience to failures, scalability, and development agility. While NoSQL databases solve scalability and fault tolerance challenges, they often lack the transactional ACID guarantees and the rich feature set supported by RDBMS, which hampers development agility significantly.
Distributed SQL databases, with a newly emerging architecture, present the perfect solution to these problems. They support ACID transactions and relational features essential for building these modern applications, while retaining cloud native properties such as fault tolerance, high availability, scalability, and geographic distribution of data.
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