ClickHouse vs Snowflake

ClickHouse expands collaboration with Microsoft, bringing Fabric integration, deeper OneLake interoperability, and enterprise deployment flexibility

ClickHouse announced a significant expansion of its strategic collaboration with Microsoft at The European Microsoft Fabric + SQL Community Conference in Barcelona on September 29, 2026. The expansion includes the public preview of the ClickHouse workload for Microsoft Fabric, general availability of OneLake read, public preview of OneLake write, and availability of ClickHouse Bring Your Own Cloud (BYOC) in the Microsoft Marketplace. These capabilities aim to enable sub-second analytics on OneLake data and provide enterprise deployment flexibility without data duplication.

• ClickHouse announced the expanded Microsoft collaboration on September 29, 2026 at The European Microsoft Fabric + SQL Community Conference in Barcelona.
• The ClickHouse workload for Microsoft Fabric is now available in public preview through the Fabric workload hub.
• ClickHouse support for reading Apache Iceberg tables from OneLake using OneLake Table APIs is now generally available.

ClickHouse expands collaboration with Microsoft, bringing Fabric integration, deeper OneLake interoperability, and enterprise deployment flexibility

On September 29, 2026, at The European Microsoft Fabric + SQL Community Conference in Barcelona, ClickHouse announced an expanded strategic collaboration with Microsoft. The announcement includes the public preview of the native ClickHouse workload for Microsoft Fabric, general availability of OneLake read, public preview of OneLake write, and availability of ClickHouse BYOC in the Microsoft Marketplace. These capabilities let joint customers query OneLake data at sub-second speeds without copying data, while BYOC provides managed ClickHouse Cloud inside a customer's Azure tenant with procurement via Microsoft agreements.

• On September 29, 2026, ClickHouse announced the expanded collaboration with Microsoft at The European Microsoft Fabric + SQL Community Conference in Barcelona.
• The native ClickHouse workload for Microsoft Fabric is now available in public preview through the Fabric workload hub, enabling sub-second analytics on OneLake queries.
• ClickHouse support for reading Apache Iceberg tables from OneLake using OneLake Table APIs is generally available; writing Iceberg tables to OneLake is in public preview.

ClickHouse appoints Mike Scarpelli, former Snowflake and ServiceNow CFO, to Board of Directors

ClickHouse, a leader in real-time analytics, data warehousing, observability, and AI/ML, today announced the appointment of Michael Scarpelli to its Board of Directors.

Snowflake Expands Access to Data and AI Education with Free Global Training for Everyone

Snowflake announced an expansion of access to data and AI education by launching free global training. The initiative, titled Free Snowflake Practitioner Training for Everyone, offers open educational resources for professionals seeking to build foundational data cloud skills.

• Snowflake launched the 'Free Snowflake Practitioner Training for Everyone' initiative on November 3, 2026.
• The program focuses on expanding global access to Data and AI education without cost barriers.
• Training resources target foundational practitioner skills across the Snowflake Data Cloud ecosystem.

Snowflake to Announce Financial Results for the Third Quarter of Fiscal 2027 on December 2, 2026

Snowflake has announced that it will release its financial results for the third quarter of fiscal 2027 on December 2, 2026. The announcement was formally scheduled via its corporate newsroom on November 2, 2026.

• Snowflake announced its upcoming financial results schedule on November 2, 2026.
• Financial results for the third quarter of fiscal 2027 are scheduled for release on December 2, 2026.

Monte Carlo Launches Bayes AI Teammate for Agent Trust

Monte Carlo, a leader in agent trust, has launched Bayes, an AI teammate that autonomously detects, troubleshoots, and fixes issues across AI agents and their underlying data. Bayes integrates platform capabilities into a single system, allowing customers to control how much it handles. It addresses the challenge of enterprises deploying agents faster than they can maintain reliability, with surveys showing low trust and high rollback rates. Bayes learns the customer's data and AI environment, deploys monitoring strategies, and can execute fixes via draft pull requests. It covers the entire stack from agent outputs to data inputs. Monte Carlo reports that Bayes helps detect 200% more incidents with 80% fewer false positives. The launch extends Monte Carlo's partnership with Snowflake, which named it 2026 Data & AI Governance Partner of the Year, to help joint customers build reliable agents on Snowflake.

• Monte Carlo launched Bayes, an AI teammate for autonomous detection, troubleshooting, and fixing of AI agents and their data.
• Bayes helps enterprises detect 200% more incidents than in-house systems, with over 80% fewer false positives.
• Surveys show 70% of leaders lack trust in their agents, and 74% have rolled back a customer-facing AI agent.