Content-Addressed Storage (CAS) is new in Antalya 26.6. It’s a simple and elegant way to use shared object storage, and it lets you scale storage without scaling compute.
ClickHouse SQL is a powerful tool to show data lake table structure and read data from them. We’ll show it works with Iceberg tables.
The new Antalya release is an important step in the Project Antalya roadmap that delivers better integration with data lakes and improved performance of queries over Iceberg data.
Real-time data lakes just got real. Altinity.Cloud for ClickHouse® now supports managed Iceberg & compute swarms for fast, scalable analytics.
Discover Project Antalya: Experience ClickHouse® analytics on Iceberg storage, cutting costs by 90% and delivering up to 100x faster queries.
Large data lakes are challenging centralized analytic services. To deliver real-time analytics, databases need to work less like restaurants and more like food trucks.
An emerging architecture is using swarms of small ClickHouse® nodes to read Parquet files in S3. We look at what it’ll take to make this work.
Learn how to deploy production-ready ClickHouse® services on Kubernetes using Terraform, Helm, and Argo CD, with a live demo of the Altinity EKS Terraform module, an OpenTelemetry observability stack deployed via Argo CD, and a walkthrough of connecting any Kubernetes…
Learn how to visualize ClickHouse® data beautifully using the Altinity Grafana Plugin for ClickHouse®, the most popular ClickHouse plugin in the world with over 16 million downloads. This webinar covers installation, building time series and geographic dashboards with the on-time…
Altinity CEO, Robert Hodges, and CTO, Alexander Zaitsev, walk through a practical framework for building petabyte-scale real-time analytics systems with ClickHouse®, covering flexible compute scaling on Kubernetes, extending MergeTree tables with S3 tiered storage, and querying Parquet data lakes directly…
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