Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB

"SurrealDB is emerging as a versatile multi-model database. It aims to break away from the limitations of traditional databases by being both flexible and efficient, enabling users to query and manage various data types seamlessly across a single platform."

"CyrilDB is designed to operate efficiently in e-commerce environments where product recommendations must be timely and precise. The combination of vector search and graph algorithms sets it apart from traditional databases."

"Our infrastructure allows you to spin up nodes quickly, ensuring that even if several nodes fail, your database remains operational. This high availability is crucial for businesses that rely on constant uptime."

"Bringing the models to the data rather than the data to the models is becoming a key paradigm shift in how organizations manage and utilize their data resources. This approach is designed to alleviate some of the inefficiencies observed in data operations."

"By providing analytics in real-time, we enable companies to not just react to previous patterns but to anticipate user needs actively, enhancing customer satisfaction significantly."

"We see a lot of organizations now looking for ways to reduce their infrastructure complexity. The simpler the setup, the faster they can move to scale their data operations effectively. This is where SurrealDB is stepping in and making a difference!"

"Launching SurrealDB was a combination of three years of effort followed by active community support. Upon release, we were able to gain 27,000 GitHub stars, which speaks to the enthusiasm around our product and its functionalities."

"You can then improve and augment that data using graph techniques, which allows for deeper analysis and relationships among data points. This means that users can capture complex relationships and interactions effectively."

"The rewrite from Golang to Rust was driven by the need for a solid foundation, enabling us to attract talent more effectively and leverage the benefits offered by the Rust community, which is both vibrant and supportive."

"When people come to SurrealDB, they typically come from a relational database perspective, which is tabular and may require relearning how to structure data for optimal performance."

"A lot of organizations are actually storing a lot of these, and they're either specializing in different database platforms. They've got time series databases, graph databases, and traditional document databases."

"When you use that inside that ID, it can then be pushed into documents as well, allowing for versatile querying and retrieval without the need for complex access layers."

"As a database, it's always a contentious issue which is not necessarily true of other databases. The benchmark game in the database world is a matter of fine-tuning and perfecting what works for you."

"You know, we want to build your application or platform that you need and to do that it needs to be representative of many of the different environments that people are going to be running it."

"It enables us to scale out as well and at the same time the storage layer in front is acting as a cache. So you get the same performance that you'd have in traditional databases."

"You're able to query in the same way transactionally so everything that you write to the database when it's written and confirmed every reader sees that data but then you're safe in the knowledge that your data is reliant on S3."

"And this is really important in analytical use cases. So being able to spin up large clusters that read large amounts of data and then when you don't need those clusters as well if you want to scale them down that can now be possible."

"I think the other thing is we have trust... I absolutely trust, not necessarily trust about what my brother's going to do, but trust that we have the same vision and understanding of where we want to go."

"Anyone would say that normally wouldn't work. But I think there are two things. First of all, we have the technological understanding and the branding understanding."

"For Surreal to be successful, we have to be an incredible technological product and we have to have a good brand to go with it."

What is "Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB" about?

In this episode, Tobie Morgan Hitchcock, CEO of SurrealDB, discusses the transformative landscape of databases, highlighting the multi-model capabilities of SurrealDB that integrate document, graph, and time-series functionalities. The conversation dives into the technical challenges of creating a new database and the decision to rewrite SurrealDB in Rust for performance and community support. Tobie elaborates on the features of SurrealDB, such as time travel for data and real-time analytics that enhance user experience and decision-making. Moreover, the podcast touches on the increasing demand for efficient data handling in complex environments and how SurrealDB addresses these requirements by simplifying database management. The episode ultimately illustrates the platform's potential in the evolving fields of AI and machine learning.

What are the key takeaways from "Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB"?

SurrealDB integrates various database functionalities into a single multi-model platform, simplifying management. The decision to rewrite SurrealDB in Rust prioritizes performance and attracts top talent. Features like time travel and real-time analytics set SurrealDB apart, catering to modern data demands.

Which podcast is this episode from?

"Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB" is an episode from The MAD Podcast with Matt Turck.