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aaron cass

T2 · manager / operator

Aaron Cass is the founder and CEO of ClickHouse, the open-source analytical database company valued at $15B+. Previously spent 12 years at Salesforce under Marc Benioff and led Elastic as a senior executive. He discusses ClickHouse's growth to $500M+ ARR, 200%+ net dollar retention, and strategy for the agentic AI era.

11 calls·11 names·27% bull·last heard 25 days ago·20VC
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1sthigh conviction
$LANGFUSELangfuseposition

ClickHouse acquires Langfuse to expand into agent observability

Langfuse's three founders are building the essential observability layer for AI agents, a category every enterprise will need as agentic workflows proliferate, making it a strategic inorganic addition to ClickHouse's data platform.

20VC2026-08episode →
2ndhigh conviction
$CLICKHOUSEClickHouseposition

ClickHouse CEO sees agentic AI driving demand for ultra-low-latency analytical database

ClickHouse's columnar architecture delivers unmatched price/performance for the unpredictable, high-concurrency query patterns of AI agents, and its open-source adoption across nearly every AI-native company creates a defensible moat as agents begin selecting infrastructure autonomously.

20VC2026-08episode →
3rdmedium conviction
$BABAAlibaba Cloudposition

ClickHouse CEO uses Alibaba partnership to argue for regional cloud relationships

Cass argues that global infrastructure companies need relationships with regional hyperscalers and local-language teams, citing ClickHouse's Alibaba partnership in China.

20VC2026-08episode →

most discussed · click a bar to filter

  • $CBRS
  • $LANGFUSE
  • $HARVEY
  • $ANTHROPIC
  • $MSFT

recurring themes

  • AI Infrastructure1
  • AI Agents1
  • AI Economics & Business Models1
  • AI Bubble / Capex Debate1
  • Open Source AI1
11 total
$CBRS
···
Cerebras
LOWaaron cass·20VC·25 days ago·ClickHouse CEO: The AI Bubble Is Wrong | Revenue Concentration Should be a Concern
ClickHouse CEO sees hyperscalers and frontier labs entering chip supply
ClickHouse works with Cerebras, Nvidia, and other chipmakers; Cass expects hyperscalers and frontier labs to become relevant providers in a more distributed chip ecosystem.
"We do business with both Nvidia and Cerebras and a lot of the chip manufacturers... I think a lot of the hyperscalers and Frontier Labs are going to be very relevant providers in…"
55:14
$LANGFUSE
Langfuse
HIGHaaron cass·20VC·25 days ago·ClickHouse CEO: The AI Bubble Is Wrong | Revenue Concentration Should be a Concern· position
ClickHouse acquires Langfuse to expand into agent observability
Langfuse's three founders are building the essential observability layer for AI agents, a category every enterprise will need as agentic workflows proliferate, making it a strategic inorganic addition to ClickHouse's data platform.
"Our most recent one earlier this year was Langfuse. Yeah. Out of Berlin... which is three incredible founders entering agent observability. Every enterprise in the world is going…"
11:08
$HARVEY
Harvey
MEDaaron cass·20VC·25 days ago·ClickHouse CEO: The AI Bubble Is Wrong | Revenue Concentration Should be a Concern
ClickHouse CEO says Harvey leads specialized legal AI, avoids picking winners
Cass sees Harvey leading specialized legal AI today, but says ClickHouse is an infrastructure provider and cannot predict whether Harvey or Legora will ultimately be larger.
"Harvey, for example, I think they're leading the category in terms of specialization... We're an infrastructure provider, so we're not picking winners in these categories. Legora…"
18:28
$ANTHROPIC
Anthropic
MEDaaron cass·20VC·25 days ago·ClickHouse CEO: The AI Bubble Is Wrong | Revenue Concentration Should be a Concern
ClickHouse CEO reports 100x Anthropic spend despite low switching costs
Cass places AI coding tools in a low-switching-cost category, yet ClickHouse's Anthropic spend rose 100x after an internal adoption push.
"I would put it in that category. Now, that's not showing up in our use of Claude Code because our Anthropic spend is up 100 times from what it was at the beginning of the year."
4:56
$MSFT
···
Microsoft
MEDaaron cass·20VC·25 days ago·ClickHouse CEO: The AI Bubble Is Wrong | Revenue Concentration Should be a Concern
ClickHouse CEO calls Microsoft a power user running largest analytical workloads, praises Satya Nadella
Microsoft is a ClickHouse power user for some of its largest analytical workloads; Cass also says Satya Nadella impressed him, supporting a close technology relationship.
"Microsoft's one of our power users. We power the largest analytical workloads at Microsoft... Had the opportunity to meet Satia uh a couple months ago. Is quite impressive."
55:00
$DDOG
···
Datadog
MEDaaron cass·20VC·25 days ago·ClickHouse CEO: The AI Bubble Is Wrong | Revenue Concentration Should be a Concern
ClickHouse CEO says Datadog's PLG playbook was easier to follow
Datadog's self-service motion lets developers deploy an agent and instrument applications without speaking to sales, making its playbook easier for ClickHouse to follow than Snowflake's enterprise-heavy model.
"Data Dog had this PLG self-service developer motion so you could get started, deploy an agent, instrument your application, never talk to anybody in sales... I just thought it was…"
8:22
$CLICKHOUSE
ClickHouse
HIGHaaron cass·20VC·25 days ago·ClickHouse CEO: The AI Bubble Is Wrong | Revenue Concentration Should be a Concern· position
ClickHouse CEO sees agentic AI driving demand for ultra-low-latency analytical database
ClickHouse's columnar architecture delivers unmatched price/performance for the unpredictable, high-concurrency query patterns of AI agents, and its open-source adoption across nearly every AI-native company creates a defensible moat as agents begin selecting infrastructure autonomously.
"We're positioning ClickHouse to be the default database for the next generation of applications that agents are building, not humans... number one latency... number two efficiency…"
12:02
$BABA
···
Alibaba Cloud
MEDaaron cass·20VC·25 days ago·ClickHouse CEO: The AI Bubble Is Wrong | Revenue Concentration Should be a Concern· position
ClickHouse CEO uses Alibaba partnership to argue for regional cloud relationships
Cass argues that global infrastructure companies need relationships with regional hyperscalers and local-language teams, citing ClickHouse's Alibaba partnership in China.
"I flew to China to launch a partnership with Alibaba... you're going to need local language speakers to maintain those partnerships and you can't do it from one or two or three ce…"
43:20
$SNOW
···
Snowflake
MEDaaron cass·20VC·25 days ago·ClickHouse CEO: The AI Bubble Is Wrong | Revenue Concentration Should be a Concern
ClickHouse CEO contrasts Snowflake's heavy enterprise sales motion with DataDog's PLG approach
Snowflake's expensive enterprise sales model proved harder to replicate than DataDog's product-led growth motion, but ClickHouse now recognizes it must layer enterprise sales on top of its PLG foundation to capture larger accounts.
"Snowflake went heavy after the enterprise through, you know, very expensive sales and marketing. I just thought it was going to be a lot easier to follow the data dog playbook tha…"
8:22
$DATABRICKS
Databricks
MEDaaron cass·20VC·25 days ago·ClickHouse CEO: The AI Bubble Is Wrong | Revenue Concentration Should be a Concern
ClickHouse CEO sees Databricks challenging Snowflake, favors Datadog in observability
Cass points to Databricks' open-source foundation as a credible challenge to Snowflake's closed ecosystem, while explicitly preferring Datadog in observability and warning that a three-to-five-year outcome is uncertain.
"Snowflake is primarily a closed ecosystem. Databricks is built around open source... In observability, I would argue Datadog over Databricks... three to five years is a long time."
21:54
9
AI Infrastructuretailwind
Agentic workloads demand ultra-low-latency, high-efficiency analytical databases
AI agents execute dozens of simultaneous SQL queries across systems with unpredictable patterns, making query latency and storage/compute efficiency the primary infrastructure requirements — favoring columnar OLAP engines like ClickHouse over traditional warehouses.
8
AI Agentstailwind
Agents will autonomously select infrastructure stacks, requiring identity, budget, and governance frameworks
Within 3-5 years, AI agents will provision databases, compute, and networking autonomously, but enterprises will demand identity-based authorization, budget controls, and compliance guardrails — creating a new infrastructure governance layer.
8
AI Economics & Business Modelsrisk
Revenue concentration >10% in one category is a critical durability risk for AI companies
ClickHouse maintains <12% revenue from AI-native customers despite universal adoption, providing resilience if half the category fails; operators should treat >10% concentration in any vertical as a predictability threat requiring active diversification.
8
AI Bubble / Capex Debatetailwind
ClickHouse CEO rejects AI bubble fears: 'We're just getting started'
Cass argues that the AI cycle is still in its early stages and expects the value created by its winners to far outweigh losses from failed companies.
7
Open Source AIheadwind
Enterprise adoption of open-weight models limited by indemnification and output inference concerns
Enterprises require legal protections (indemnification) and output guarantees that Chinese open-weight models cannot yet provide, restricting their use to non-production tasks like code review while frontier models retain production workloads despite data privacy fears.
7
Data Center Infrastructuremixed
Digital-native companies reconsider hyperscalers for on-prem infrastructure
Cass says even innovative Silicon Valley companies are considering moving workloads from hyperscalers back on premises, increasing the value of infrastructure that supports both deployment models.
7
Public Markets & Valuationmixed
Public markets punish misses but deliver better long-term price discovery
Cass says public markets can punish small misses with severe drawdowns, making private ownership attractive for strategic flexibility, but ultimately provide more grounded long-term price discovery.