Join us in New York City for an evening of forward-thinking engineering and applied infrastructure innovation. At this meetup, you’ll hear from leading voices in the analytics and distributed database space on such topics as: How ClickHouse® and Apache Iceberg are enabling sub-second analytics over 100+ petabytes of data through stateless swarm clusters. How scalable, persistent memory architectures—powered by TiDB—are reshaping what’s possible in AI systems that think beyond the prompt. From streaming analytics to memory-enabled agents, this meetup is ideal for engineers, architects, and builders pushing the boundaries of data performance, intelligence, and design.

Real-time databases are integrating with data lakes to reduce storage costs and share data with AI and data science. Please join us to hear longtime ClickHouse practitioners share current problems and solutions as they negotiate the transition from closed storage models to open table formats like Apache Iceberg. There will be plenty of time to network: discuss problems and brainstorm solutions with your peers. 

OSA Con is proud to announce an evening devoted to four of the most popular analytic open source technologies on the planet: ClickHouse®, Presto, Gluten, and StarRocks. We'll have presentations from community experts followed by a panel featuring audience questions to the presenters. There will be refreshments, drinks, and lots of time for networking with other database developers. Join us!
​* OSA Con = Open Source Analytics Conference. The CfP for our main Conference in November is open now!

Our CEO, Robert Hodges, is presenting the talk What’s a Data Lake and What Does It Mean For My Open Source Stack? at the Kansas City Developer Conference. The 2025 conference will be held August 13-15, with a pre-conference workshop day and two full conference days.
Data lakes on open table formats like Iceberg are a popular way to manage large datasets for analytics, data science, and AI. This talk explains how data lakes work and how to adapt open-source analytic stacks to use them. First, we'll tour projects like Arrow, Iceberg, and Unity Catalog that make data lakes possible. Next, we'll see how analytics engines like DuckDB, ClickHouse, and Spark are adapting. Finally, we'll survey a few projects that enable applications written in Python, Golang, or Rust to deliver fast queries. You'll have to build the app yourself, but this talk will show you a path to use data lakes and open source successfully.

Our colleague, Denys Kondratenko, presented the talk FinOps: Cloud Billing and Usage with ClickHouse at the FroSCon 2025.
Managing costs and billing across numerous Cloud-managed Kubernetes clusters presents significant challenges. In this talk, we’ll explore these challenges and discuss solutions using ClickHouse, OpenCost, and how a unified FOCUS schema helps with it. Leveraging ClickHouse’s capabilities, we’ll demonstrate how it efficiently imports diverse Cloud billing data streams. Additionally, we’ll delve into how OpenCost addresses the complexities of real-time cost management within a multitenant architecture. Join us to uncover practical insights into optimizing cloud costs effectively

Our CEO, Robert Hodges, is presenting the talk Cheap, Fast, Scalable: Introducing Analytics with Open Source ClickHouse® at the PDXPUG: OSS Database Spotlight Clickhouse Meetup on September 4th.
Real-time analytic databases are indispensable tools for quick insights on large datasets, and ClickHouse currently leads the pack in speed and usage. This talk shows the major features that make ClickHouse popular for real-time analytics and provides a jumping-off point to build your own apps. We’ll explain the internals of ClickHouse and provide explicit guidance on when to reach for it. (And when not to.;) We will also demo new work from Altinity that adds separable compute and storage using shared Apache Iceberg tables. We’ll include thoughts on design patterns for using PostgreSQL and ClickHouse productively together.