Two partnerships put ClickHouse deeper into the enterprise workflow. Ciklum is helping companies move to real-time analytics, while Hud is connecting production code intelligence with application and infrastructure insight. The database is no longer sitting politely at the end of the pipeline.
Ciklum Group Ltd., an engineering firm, has partnered with ClickHouse Inc., a database management company, to speed enterprise migrations to real-time analytics. Ciklum assembled ClickHouse accelerators for migration assessments and deployment, with engagements designed to fit existing cloud accounts, pipelines, and governance rules.
That focus addresses the awkward part of enterprise technology: a promising proof of concept must survive contact with production systems, compliance requirements, and the people already responsible for them. Kevin Egan, chief revenue officer at ClickHouse, described the pressure in plain terms: “The hardest part is rarely the proof of concept, it’s getting to production with confidence.”
ClickHouse sells a column-oriented database for online analytical processing, and its managed cloud service has passed 4,000 customers. The company’s enterprise push also comes after a $400 million Series D round led by Dragoneer Investment Group in January 2026, which valued ClickHouse at $15 billion.
“Enterprises today aren’t just chasing real-time insights, they’re racing to operationalize AI, from real-time agents to large-scale inference, all while keeping analytics costs in check,” Egan said. That combination of real-time data, AI workloads, and cost control explains why migration support matters more than another glossy architecture diagram.
Raj Radhakrishnan, CEO of Ciklum, said every enterprise client faces pressure to implement AI faster without loosening its grip on data governance. He called the ClickHouse relationship a “proven, low-risk path” to the scale required by real-time analytics and AI workloads.
ClickHouse Expands Its Partner Network
ClickHouse opened House Mates in May 2026 with more than 60 software and services partners. The partner program spans three tiers, giving the company a wider route into deployments that need engineering support as well as database technology.
The Ciklum partnership fits that structure by packaging migration assessments and deployment work around the customer’s existing environment. That means cloud accounts, data pipelines, and governance rules remain part of the engagement instead of becoming someone else’s cleanup project.
ClickHouse has also expanded beyond its core database business. The company acquired Langfuse GmbH in January 2026, adding another piece to its position in software and AI development workflows.
Hud Links Code-Level Detection to Production Data
On August 13th, 2026, ClickHouse and Hud announced an integration for investigation and review workflows in AI software development. Hud’s Runtime Code Sensor operates at the code level, helping teams understand issues and the causes behind them, while ClickStack provides operational insight into applications and infrastructure.
The integration connects ClickStack and Hud through shared trace IDs. Hud can detect production issues at the function level and provide forensic context, allowing teams to move from detection to investigation and resolution without stitching together unrelated systems by hand.
The workflow covers risk assessment, verification, rollback, investigation, fixes, and remediation. Teams can evaluate changes using real-time production data, then use that evidence to assess risk and inform deployment decisions.
Organizations can install the Hud SDK and connect it to their ClickStack service, with Hud’s runtime intelligence flowing alongside OpenTelemetry data. The result is a path from operational signals to code-level context across the AI software development lifecycle.
The timing is practical. Developers generate or receive assistance for 42% of the code they ship, and that figure is expected to reach 65% by 2027. More generated code means more pressure to verify changes before they create production problems—an old software concern wearing an AI badge.
Rom Kadria, senior software engineer at monday.com, described the shift: “We write code much faster, but the challenge has shifted to shipping just as quickly while maintaining confidence that new code won’t cause harm.” He added that combining ClickHouse and Hud allows teams to triage and resolve issues quickly, calling the combination the obvious choice for a company building with AI.
Together, the partnerships show ClickHouse pursuing two connected jobs: helping enterprises reach real-time analytics and helping development teams operate AI-generated software with more evidence. The database, the migration machinery, and the investigation layer are moving into the same conversation—because production has never cared which vendor supplied the impressive demo.
Based on
