Data Lake, Real-time Analytics, or Both? Exploring Presto and ClickHouse | Joint-Webinar with Ahana and Altinity

Data Lake, Real-time Analytics, or Both? Exploring Presto and ClickHouse | Joint-Webinar with Ahana and Altinity

Watch this joint-webinar with Ahana where we explore open-source big data solutions. We contrast Presto, the leading SQL Query engine for data lakes, with ClickHouse, the DBMS champ for real-time analytics. After framing the problem with relevant use cases, we dig into solutions using Presto and ClickHouse. You can expect a deep dive into the plumbing that exposes key trade-offs between approaches.

[Webinar] Own your ClickHouse data with Altinity.Cloud Anywhere

[Webinar] Own your ClickHouse data with Altinity.Cloud Anywhere

Altinity.Cloud is a managed ClickHouse platform for high-performance analytics.
But what if you want to run ClickHouse in your own cloud account? Altinity.Cloud Anywhere does exactly that.
In this webinar, we’ll explain how Altinity.Cloud Anywhere works, then walk through the simple setup procedure to get full cloud management of ClickHouse clusters in your VPCs.
Join us to learn how to have cloud management for your real-time analytic stack while meeting requirements for compliance, control of data, and freedom from lock-in.
Have your cake and eat it too!But what if you want to run ClickHouse in your own cloud account? Altinity.Cloud Anywhere does exactly that.
In this webinar, we’ll explain how Altinity.Cloud Anywhere works, then walk through the simple setup procedure to get full cloud management of ClickHouse clusters in your VPCs.
Join us to learn how to have cloud management for your real-time analytic stack while meeting requirements for compliance, control of data, and freedom from lock-in.
Have your cake and eat it too!

Deep Dive on ClickHouse: Sharding and Replication Webinar

Deep Dive on ClickHouse: Sharding and Replication Webinar

This talk walks you through sharding and replication, showing how Altinity experts enable clusters that deliver fast queries over petabytes of data. Starting with basic definitions of each, then moving to practical issues.