1 hr 1 min
Planet Scale SQL For The New Generation Of Applications With YugabyteDB Data Engineering Podcast
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- Technology
Summary
The modern era of software development is identified by ubiquitous access to elastic infrastructure for computation and easy automation of deployment. This has led to a class of applications that can quickly scale to serve users worldwide. This requires a new class of data storage which can accomodate that demand without having to rearchitect your system at each level of growth. YugabyteDB is an open source database designed to support planet scale workloads with high data density and full ACID compliance. In this episode Karthik Ranganathan explains how Yugabyte is architected, their motivations for being fully open source, and how they simplify the process of scaling your application from greenfield to global.
Announcements
Hello and welcome to the Data Engineering Podcast, the show about modern data management
When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform. If you need global distribution, they’ve got that covered too with world-wide datacenters including new ones in Toronto and Mumbai. And for your machine learning workloads, they just announced dedicated CPU instances. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show!
You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council. Upcoming events include the Software Architecture Conference in NYC, Strata Data in San Jose, and PyCon US in Pittsburgh. Go to dataengineeringpodcast.com/conferences to learn more about these and other events, and take advantage of our partner discounts to save money when you register today.
Your host is Tobias Macey and today I’m interviewing Karthik Ranganathan about YugabyteDB, the open source, high-performance distributed SQL database for global, internet-scale apps.
Interview
Introduction
How did you get involved in the area of data management?
Can you start by describing what YugabyteDB is and its origin story?
A growing trend in database engines (e.g. FaunaDB, CockroachDB) has been an out of the box focus on global distribution. Why is that important and how does it work in Yugabyte?
What are the caveats?
What are the most notable features of YugabyteDB that would lead someone to choose it over any of the myriad other options?
What are the use cases that it is uniquely suited to?
What are some of the systems or architecture patterns that can be replaced with Yugabyte?
How does the design of Yugabyte or the different ways it is being used influence the way that users should think about modeling their data?
Yugabyte is an impressive piece of engineering. Can you talk through the major design elements and how it is implemented?
Easy scaling and failover is a feature that many database engines would like to be able to claim. What are the difficult elements that prevent them from implementing that capability as a standard practice?
What do you have to sacrifice in order to support the level of scale and fault tolerance that you provide?
Speaking of scaling, there are many ways to define that term, from vertical scaling of storage or compute, to horizontal scaling of compute, to scaling of reads and writes. What are the primary scaling factors that you focus on in Yugabyte?
How do you approach testing
Summary
The modern era of software development is identified by ubiquitous access to elastic infrastructure for computation and easy automation of deployment. This has led to a class of applications that can quickly scale to serve users worldwide. This requires a new class of data storage which can accomodate that demand without having to rearchitect your system at each level of growth. YugabyteDB is an open source database designed to support planet scale workloads with high data density and full ACID compliance. In this episode Karthik Ranganathan explains how Yugabyte is architected, their motivations for being fully open source, and how they simplify the process of scaling your application from greenfield to global.
Announcements
Hello and welcome to the Data Engineering Podcast, the show about modern data management
When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform. If you need global distribution, they’ve got that covered too with world-wide datacenters including new ones in Toronto and Mumbai. And for your machine learning workloads, they just announced dedicated CPU instances. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show!
You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council. Upcoming events include the Software Architecture Conference in NYC, Strata Data in San Jose, and PyCon US in Pittsburgh. Go to dataengineeringpodcast.com/conferences to learn more about these and other events, and take advantage of our partner discounts to save money when you register today.
Your host is Tobias Macey and today I’m interviewing Karthik Ranganathan about YugabyteDB, the open source, high-performance distributed SQL database for global, internet-scale apps.
Interview
Introduction
How did you get involved in the area of data management?
Can you start by describing what YugabyteDB is and its origin story?
A growing trend in database engines (e.g. FaunaDB, CockroachDB) has been an out of the box focus on global distribution. Why is that important and how does it work in Yugabyte?
What are the caveats?
What are the most notable features of YugabyteDB that would lead someone to choose it over any of the myriad other options?
What are the use cases that it is uniquely suited to?
What are some of the systems or architecture patterns that can be replaced with Yugabyte?
How does the design of Yugabyte or the different ways it is being used influence the way that users should think about modeling their data?
Yugabyte is an impressive piece of engineering. Can you talk through the major design elements and how it is implemented?
Easy scaling and failover is a feature that many database engines would like to be able to claim. What are the difficult elements that prevent them from implementing that capability as a standard practice?
What do you have to sacrifice in order to support the level of scale and fault tolerance that you provide?
Speaking of scaling, there are many ways to define that term, from vertical scaling of storage or compute, to horizontal scaling of compute, to scaling of reads and writes. What are the primary scaling factors that you focus on in Yugabyte?
How do you approach testing
1 hr 1 min