Data Lake Query Acceleration using Standalone Antalya Swarms
Antalya standalone swarms allow any ClickHouse® server to accelerate data lake queries and lower costs. Learn how to set up standalone swarms and use them.
Blog · Innovation · News
Project Antalya 2026 Roadmap
Explore the Project Antalya 2026 roadmap for ClickHouse and Apache Iceberg, covering compute swarms, tiered storage, and data lake security.
Blog · Innovation · News
Introducing Hybrid Tables: Transparent Query on ClickHouse® MergeTree and Iceberg Data
The new Hybrid Table Engine feature in the Project Antalya version of ClickHouse lets you query data from MergeTree and Iceberg together.
Blog · Innovation · News
Project Antalya Progress — ALTER TABLE EXPORT and Other Cool Features
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.
Blog · Innovation · News
Real-time Queries on AWS S3 Table Buckets in ClickHouse®
Connect ClickHouse to AWS’s new S3 Table Buckets using Iceberg, run real-time SQL on Parquet data, and build data pipelines in Altinity.Cloud.
Altinity.Cloud Launches Managed Iceberg with Antalya Compute Swarms
Real-time data lakes just got real. Altinity.Cloud for ClickHouse® now supports managed Iceberg & compute swarms for fast, scalable analytics.
The Future Has Arrived: Parquet on Iceberg Finally Outperforms MergeTree
Recent developments in ClickHouse® and Project Antalya elevate Iceberg support to a new level – matching and in some cases outperforming MergeTree, while enabling cheap object storage and scalable, shared data systems.
Announcing Project Antalya – Infinitely Scalable ClickHouse® Query on 10x Cheaper Iceberg Storage
Discover Project Antalya: Experience ClickHouse® analytics on Iceberg storage, cutting costs by 90% and delivering up to 100x faster queries.
Tales of Restaurants and Food Trucks: Merging Real-time Analytics with Data Lakes
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.
Using Swarms of ClickHouse® Servers for High-Performance Reads of Parquet
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.
What’s new in the Altinity Kubernetes Operator for ClickHouse®?
SPOILER ALERT: The popular Altinity Kubernetes Operator for ClickHouse supports ClickHouse Keeper as of version 0.24.0!
Building A Better ClickHouse® for Parquet in Practice
A few weeks ago we discussed how to read external Parquet data from ClickHouse. The article raised some performance concerns when querying big collections of Parquet files out of AWS S3 buckets. Time flies fast. Altinity engineers have made some…