Tales at Scale

On this episode, we explore how Kong, a cloud-native API gateway, leverages Apache Druid for real-time data processing and analytics in their platform, Kong Konnect. Hiroshi Fukada, Staff Software Engineer at Kong, shares his insights on managing customer data through Kong Gateway and transitioning to Imply's managed Druid services to simplify their infrastructure. Discover the benefits of Druid, like low latency and ease of use, a...

On this episode, we are joined by special co-host Hugh Evans and returning guest Will Xu as we announce Druid Summit 2024 and dive into Druid 30.0's new features and enhancements. Improvements include better ingestion for Amazon Kinesis and Apache Kafka, enhanced support for Delta Lake, and advanced integrations with Google Cloud Storage and Azure Blob Storage. 

Come for the technical upgrades like GROUP B...

On this episode, we’re diving into digital ad spend and real-time data with Miguel Rodrigues, Head of Engineering at British media company Global. We’ll discuss their use of Apache Druid to enhance real-time analytics for their digital adve...

On this episode, we are joined by Ross Morrow, a Software Engineer at Finix, the payment processor working to create the most accessible financial services ecosystem in history. Finix’s B2B payments platform is designed for flexibility and scalability, streamlining financial transactions for businesses and delivering a truly customer-centric experience. Faced with the need for a powerful database for real-time insights, Finix turne...

On this episode, we’re going all in on cybersecurity!  Helping us with what critical aspects of security you need to focus on when building analytics applications is Carrell Jackson, CISO at Imply. We’ll discuss the importance of protecting sensitive data by implementing role-based access control and encryption and hear about best practices for securing a Druid cluster. Listen to learn more about how Imply takes a security-first ap...

On this episode, we explore Apache Druid 29.0, focusing on three specific themes: performance, ecosystem, and SQL compliance. Discover new features such as EARLIEST / LATEST support for numerical columns, system fields ingestion, and enhanced array support like UNNEST and JSON_QUERY_ARRAY. In addition, get the full scoop on community-contributed extensions like Spectator Histogram and DDsketch for efficient quantile calculations an...

In this special episode of Tales at Scale - this is our final episode of our first season! - Peter Marshall, Director of Developer Relations at Imply joins the show to discuss the highlights of 2023 for Apache Druid. We dive into the significant feature releases and enhancements that have transformed Druid over the past year, including the SQL standardizaion, query from deep storage, experimental window functions, and the growing D...

On this episode, we debunk the myth that Druid can't do joins. Druid doesn't function as a traditional relational database because it was purpose-built for lightning-fast queries on large datasets. However, this doesn't mean Druid is entirely devoid of join capabilities – it simply approaches them differently. Our myth-busting team features returning guests Sergio Ferragut and Hellmar Becker from Imply ready to clarify how Druid ha...

When it comes to fraud detection, initial detection is key, but so is the ability to quickly dissect and address the problem to minimize losses. This means access to real-time data is paramount. The only way to combat fraud in the digital age is to fight fire with fire…automation with automation. In this episode, we’re joined by Jaylyn Stoesz, Staff Data Engineer at Ibotta, a free cashback rewards platform, who walks us through Ibo...

We’re back again with another Druid release! Here we are at Apache Druid 27.0, thanks to the dedication of the Druid Community. This release was made possible by over 350 commits & 46 contributors. Will Xu, Product Manager at Imply joins the show to discuss new features like Smart Segment Loading, a new mechanism for managing data files as the database scales, improvements to schema auto-discovery, and the long-awaited feature – qu...

Real-time data has many applications but one place where it’s extremely valuable is with usage tracking, billing, and generating reports. Ensuring the freshness and availability of this data is not only essential for financial success but also for establishing a more challenging aspect—trust. That's precisely why Orb chose Apache Druid and Imply as the backbone of their advanced pricing platform. This platform encompasses invoicing...

Apache Kafka® is a streaming platform that can handle large-scale, real-time data streams reliably. It’s used for real-time data pipelines, event sourcing, log aggregation, stream processing, and building analytics applications. Apache® Druid is a database designed to provide fast, interactive, and scalable analytics on time-series and event-based data, empowering organizations to derive insights, monitor real-time metrics, and bui...

Today's show is all about the world of big data and open source projects, and we've got a real gem to share with you—Voltron Data!  They're on a mission to revolutionize the data analytics industry through open standards. To unleash the untapped potential in data, Voltron Data uses cutting-edge tech and provides top-notch support services, with a special focus on Apache Arrow. This open-source framework lets you process data in bot...

Who better to talk about the real-world usage of Apache Druid than Digital Turbine, a leading mobile growth and monetization platform? The folks at DT go way back with Druid. On this episode Lioz Nudel, Engineering Group Manager at Digital Turbine and Alon Edelman, Data Architect at Digital Turbine discuss how Druid has significantly improved their analytics infrastructure in terms of performance and scalability. We cover their jou...

Whether you're a data engineer, data scientist, technology enthusiast, or just a person on the Internet, you’ve heard about ChatGPT. But did you know there are some great use cases for it that work with Apache Druid? Druid and ChatGPT are two cutting-edge technologies that are revolutionizing the world of real-time analytics and natural language processing. In this episode, we’re joined by Rick Jacobs, Senior Technical Evangelist a...

Deploying and configuring Apache Druid manually in a Kubernetes environment can be complex and time-consuming. But it doesn’t have to be. Enter Druid Operator, a tool specifically designed for managing Apache Druid deployments in a Kubernetes environment. Adheip Singh, founder of DataInfra and contributor to Druid Operator, walks us through the benefits, including managing upgrades and rollbacks of Druid clusters, scaling Druid clu...

Breaking news! Apache Druid 26.0 is now available! Druid 26.0 has a few key features including schema auto discovery and shuffle JOINs but that’s not all. On this episode, we’re joined by Vadim Ogievetsky, Apache Druid PMC, co-founder of Imply and one of the very first Druid users, to talk through what’s new and why it’s cool. Special thanks to the Apache Druid community:  60+ contributors and the nearly 400 commits made this possi...