Product, Data, AI and stuff
I'm Ryadh Dahimene. I lead AI/ML product at ClickHouse, where I previously worked on integrations, including ClickPipes, and on the acquisitions of PeerDB, HyperDX, LibreChat and Langfuse. I started in research, then worked in big data consulting, at Elastic, where I led the UKMEA services delivery, and co-founded two startups early on. I live in Barcelona and make a few angel investments.
Product Thesis
- 2023
Managed ingestion (ClickPipes)
Real-time analytics needs fresh data, so getting data in should be part of the platform.
Read: ClickPipes for Kafka - ClickHouse Cloud Managed Ingestion Service · ClickPipes is Now Generally Available · ClickPipes for Batch Data Loading: Introducing S3 and GCS Support · ClickHouse welcomes PeerDB: Adding the fastest Postgres CDC to the fastest OLAP database
- 2023
SQL-based observability
Observability is just another data problem, and SQL on an OLAP database suits it.
Read: The State of SQL-based Observability · Cost-predictable logging at scale with ClickHouse, Grafana & WarpStream · The evolution of SQL-based observability
- 2025
Agent-facing analytics
AI agents are a new category of database user, with their own workloads.
Read: Agent-Facing Analytics · One step closer to Agentic Analytics: Ask AI agent & Remote MCP server beta launch · ClickHouse Agents: Claude-powered agentic analytics, now in public beta · ClickHouse welcomes Langfuse: The future of open-source LLM observability
Essays
- The Engineering-Minded Product ManagerMedium
- Agent-Facing AnalyticsClickHouse
- The evolution of SQL-based observabilityClickHouse
- The State of SQL-based ObservabilityClickHouse
- Cost-predictable logging at scale with ClickHouse, Grafana & WarpStreamClickHouse
- L’équation AlgériennePersonal
- Valorisez-vous vos données ?Press
- Comment canaliser le tsunami de données massivesPress
- Comment le Big Data entre dans l'ère du temps réelPress
Launches
2026
2025
2024
- ClickHouse and OpenTelemetryClickHouse
- ClickHouse welcomes PeerDB: Adding the fastest Postgres CDC to the fastest OLAP databaseClickHouse
- ClickPipes for Amazon KinesisClickHouse
- Announcing the Fivetran Destination for ClickHouse CloudClickHouse
- ClickPipes for Batch Data Loading: Introducing S3 and GCS SupportClickHouse
2023
2015
- Jibli co-suitcasingPress
Papers
- ClickHouse — Lightning Fast Analytics for EveryoneVLDB 2024 · Proceedings of the VLDB Endowment 17(12)
- Finding Users of Interest in Micro-blogging SystemsEDBT 2016
- Recommandation contextuelle d'utilisateurs pour les plateformes de micro-bloggingIngénierie des Systèmes d'Information 21(3), 2016
- Filtering Structures for Microblogging ContentInternational Journal of Intelligent Information Technologies 11(1), 2015
- Filtrage et recommandation sur les réseaux sociauxPhD thesis, CNAM Paris, 2014 · PDF
- RecLand: A Recommender System for Social NetworksCIKM 2014
- MicroFilter: Scalable Real-Time Filtering of Micro-blogging ContentBDA 2013
- MicroFilter: Real Time Filtering of Microblogging ContentMaking Sense of Microposts workshop, WWW 2013
- Efficient Filtering in Micro-blogging Systems: We Won't Get Flooded AgainSSDBM 2012