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Open Source Analytics Conference 2025: AI-Powered Alert Analysis with ClickHouse Cloud

The Open Source Analytics Conference (OSA CON) is the go-to conference for all things open-source analytics. Learn, share, connect, and explore the latest in data ingestion, orchestration, databases, infrastructure, governance, visualization, and AI. Join the doers of the modern data stack.
Our colleague, Alkin Tezuysal - Director of Services at Altinity, will share with us their knowledge through the following talk - AI-Powered Alert Analysis with ClickHouse Cloud Databases.

SeaGL 2025 Talk: What’s a Data Lake and What Does It Mean For My Open Source Analytics Stack?

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 SeaGL 2025 Conference. The 2025 conference will be held November 7-8.
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.

SeaGL 2025 Talk: Magical Mystery Tour: A Roundup of Observability Datastores

Joshua Lee, is presenting the talk Magical Mystery Tour: A Roundup of Observability Datastores at the SeaGL 2025 Conference. In this talk, Joshua will guide attendees through the foundational principles of telemetry—covering metrics, traces, logs, profiles, and wide events—and break down the strengths and limitations of different database technologies for each use case.
By the end of this session, attendees will have a clearer understanding of the trade-offs between these datastores and how to make informed decisions based on the unique requirements of their systems. Whether you’re building an observability stack from scratch or looking to optimize an existing setup, this tour of the observability datastore landscape will leave you better equipped to navigate the options.

Data Con LA 2025: What’s a Data Lake and What Does It Mean For My Open Source Stack?

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 Data CON LA 2025 Conference. The 2025 conference will be held on November 8.
Data lakes on open table formats are emerging as the go-to storage of large datasets for analytics, data science, and AI. This talk explains how data lakes work and how ClickHouse® is integrating them.
We’ll introduce the key components of data lakes using a concrete example based on Parquet, Iceberg open table format, and the Iceberg REST catalog. Next, we’ll look at new ClickHouse® feature adaptations, exploring specific issues like event stream ingest, compaction, and queries.
Finally, we’ll illustrate how to combine ClickHouse® with Apache Spark and Kafka to deliver fast analytics on massive, shared tables. The real-time data lake is arriving, and ClickHouse® is going to be a big part of it.

Atlanta Meetup: Real Time Data Lakes and AI

The Open Source Analytics Community is proud to host this meetup in Atlanta. Please join us to hear from a range of experts as they share current problems and solutions while navigating the transition from closed storage models to open table formats like Apache Iceberg.

BIG DATA CONFERENCE EUROPE 2025: Running Non-Cloud-Native Databases in Cloud-Native Environments: Challenges and Solutions

Big Data Conference Europe is a four-day event that focuses on technical discussions in the areas of Big Data, High Load, Data Science, Machine Learning, and AI. The conference comprises a series of workshops and sessions, aimed at bringing together developers, IT professionals, and users, to share their experience, discuss best practices, describe use cases and business applications related to their successes. The event is designed to educate, inform, and inspire – organized by people who are passionate about Big Data and Data Exploration.
Our colleague, Alkin, will present the talk: Running Non-Cloud-Native Databases in Cloud-Native Environments: Challenges and Solutions.

Seattle Meetup: Real Time Data Lakes and AI

The Open Source Analytics Community is proud to host this meetup in Seattle. 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 from a range of experts as they share current problems and solutions while navigating the transition from closed storage models to open table formats like Apache Iceberg.

Data Science Summit 2025: Super-fast Access to Unstructured JSON: the ClickHouse® Way

Maciej Bak - Support Engineer at Altinity - speaks at Data Science Summit 2025. The origins of the Data Science Summit date back to 2014, when the first Data Science Warsaw community meeting was held. It was the popularity of these periodic meetups that contributed to the decision to organize the first edition of the conference, and its success led to subsequent editions. Currently, DSS is the largest Polish community focused around *data* field.
Maciej's talk - Super-fast Access to Unstructured JSON: the ClickHouse Way is about indexing JSON, which has always been a challenge. Even databases built around documents, like MongoDB, struggle to make unstructured data both flexible and fast. Until now, ClickHouse users had to lean on pipelines, materialized views, or Map hacks to query JSON at scale.

San Francisco Meetup: Real Time Data Lakes and AI

The Open Source Analytics Community is proud to host this meetup in San Francisco. 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 from a range of experts as they share current problems and solutions while navigating the transition from closed storage models to open table formats like Apache Iceberg.