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 thei…

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 …

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 advertising platform and get the details on their transition from traditional databases to Druid, which added the …

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 experi…

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 secu…

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 ex…

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 stan…

On this episode, we dive into Apache Druid 28. This latest Druid release includes improved ANSI SQL and Apache Calcite support, the addition of window functions as an experimental feature, async queries and query from deep storage going GA, array enhancements, multi-topic Apache Kafka ingestion, and so much more! Will Xu, program manager at Imply r…

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 returni…

On this episode, we explore how Atlassian leverages Apache Druid's capabilities to handle millions of daily events and empower users with intelligent data-driven features. We’re joined by Gautam Jethwani and Kasirajan Selladurai Selvakumari from the Confluence Big Data Platform Team who will talk through how they use Druid to power intelligent feat…

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, Staf…

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 data…

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…

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 …

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 sp…

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…

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 pr…

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 ben…

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…

Kubernetes, an open-source container orchestration platform, has been making waves in the Apache Druid community. It makes sense - using Druid with Kubernetes can help you build a more scalable, flexible, and resilient data analytics infrastructure. Yoav Nordmann, Tech Lead and Architect at Tikal Knowledge shares why Kubernetes is so hot right now …

Working on/with Apache Druid is one thing, but talking about it is another. On today’s episode, we get tips and tricks for writing about your technical projects from Hellmar Becker, Apache Druid blogger and sales engineer at Imply. Spoiler alert: It doesn't have to be War and Peace. Learn how to get started with your own blog, the value of document…

One of Apache Druid's top use cases is operational visibility, which involves monitoring, understanding, and optimizing systems in real time. If that sounds a little boring, you’re in for a treat. We talk about what you need to get started and then dive into some really interesting use cases for operational visibility across industries. Listen to l…

What is an analytics application? We state at the top of every show that they’re different from BI tools but so far, we haven’t said why. It’s time we break it all down. Darin Briskman, Director of Technology at Imply and author of the O'Reilly report Building Real Time Analytics Applications: Operational Workflows with Apache Druid, joins us to ta…

If you’re a fan of SQL, this episode is for you. The addition of the multi-stage query engine in Apache Druid has enabled SQL-based ingestion. While that’s not something new to the database space, it makes Druid easier to use since more developers know SQL. Sergio Ferragut, Senior Developer Advocate at Imply walks us through using SQL to define and…

How do ads work on the “front page of the internet?” On today’s episode, staff software engineer at Reddit Lakshmi Ramasubramanian discusses Reddit’s ad platform, including how it handles ad pacing, real-time data, and more. We’ll dive into the challenges they needed to solve and why Apache Druid was the right database for the job.…

Apache Druid today isn’t the Druid that you’re used to. It’s so much more. The addition of the multi-stage query engine didn’t just change the way Druid handles queries but enabled data and transformation on ingestion and inside of Druid from one table to another using SQL. This has made Druid about 40% faster. But why stop there? Get the inside sc…

The term “real time” gets thrown around a lot, especially when it comes to data. Gwen Shapira, co-founder and CPO of Nile joins us to help define real-time data, discuss who needs it (and who probably doesn't) and how to not build yourself into a corner with your architecture. When you're able to harness the power of real-time insights, you can do …

On today’s episode, we’re joined by David Wang, VP of Product Marketing at Imply and Muthu Lalapet, Director of Worldwide Sales Engineering at Imply to dig into Apache Druid, a high performance, real-time analytics database. Thousands of companies are already using Druid today, from Netflix to Salesforce. But what is Apache Druid best used for? Wha…

On today’s episode, we’re digging into the origins of Apache Druid, a high-performance, real-time analytics database, and what makes it unique with Druid co-creator and Field CTO at Imply Eric Tschetter.By Imply Data

Tales at Scale cracks open the world of analytics projects. Hosted by Reena Leone from Imply, we’ll be diving into Apache Druid but also hearing from folks in the data ecosystem tackling everything from architecture to open source, from scaling to streaming and everything in between.By Imply Data