Software Engineering Daily

DataStax and the Future of Real-Time Data Applications with Jonathan Ellis

Nov 19, 2024

43:24

Snipd AI

Jonathan Ellis, Co-founder of DataStax, shares his journey in tech and his passion for coding while developing innovative vector search products. He discusses the integration of AI in DataStax solutions, exploring its future in real-time data applications. Ellis highlights the challenges of optimizing large vector embeddings and the potential consolidation of tools within data applications. The conversation also touches on the impact of AI tools like GitHub Copilot, balancing efficiency with essential coding skills among new engineers.

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Quick takeaways

DataStax is enhancing real-time data applications by improving vector search capabilities in Apache Cassandra to support AI-driven functionalities.

The integration of AI tools is transforming coding practices, making development more efficient while raising concerns about potential over-reliance and diminished understanding.

Deep dives

Evolution of DataStax: Embracing AI and Vector Search

DataStax is evolving to support AI-driven applications by enhancing its scalable data solutions, particularly in the realm of vector search capabilities. The introduction of vector search for Apache Cassandra allows users to efficiently find data that is semantically similar, bridging the gap between traditional data retrieval methods and the demands of modern AI applications. By partnering with NVIDIA and acquiring LangeFlow, DataStax enables seamless integration of AI functionalities, such as quick access to embeddings and computation powered by GPU technology. This approach simplifies the development process for users, allowing them to focus on their applications instead of dealing with complex data management tasks.

Intro

2min

Navigating the Shift: From Coding to Management in AI Development

14min

Optimizing Large Vector Embeddings with Advanced Storage Techniques

2min

Navigating the Impact of AI on Coding

11min

Evolution of Tool Consolidation in Data Applications

1min

Enhancing Vector Search with Colbert Live

10min

Advancements in AI Development with DataStax

4min

DataStax is known for its expertise in scalable data solutions, particularly for Apache Cassandra, a leading NoSQL database. Recently, the company has focused on enhancing platform support for AI-driven applications, including vector search capabilities.

Jonathan Ellis is the Co-founder of DataStax. He maintains a technical role at the company and has recently worked on developing their vector search product. Jonathan joins the show to talk about his passion for being in a technical role, where AI fits into the DataStax platform, developing vector search, and he also reflects on his gradual adoption of AI into his workflows, and where he thinks AI development is headed in the coming years.

Full Disclosure: This episode is sponsored by Datastax.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.