{"slug": "rawtree-a-clickhouse-fork-by-tinybird", "title": "Rawtree – A ClickHouse Fork by Tinybird", "summary": "Tinybird released RawTree, a ClickHouse fork that removes upfront schema work by creating dynamic columns on ingest, according to the company's launch announcement. RawTree accepts events, JSON, protobuf, Parquet/CSV/TSV files, and telemetry through native OTLP endpoints, and exposes an API, SDKs, CLI, and MCP server aimed at agentic coding and observability workloads. The product is available as RawTree Cloud with autoscaling or self-hosted with data-plane control, and includes an official Terraform provider for wiring AWS sources such as Kinesis, Firehose, CloudWatch, AWS WAF, and CloudTrail into queryable tables.", "body_md": "Install the CLI$ curl -fsSL https://rawtree.com/install.sh | bashSign in$ rtree loginInsert data$ rtree insert --table events --data '{\"action\":\"click\",\"user\":\"alice\",\"value\":42}'Query your data$ rtree query \"SELECT action, count() FROM events GROUP BY action\"\n\nBuilt for agents (and humans)\n\nRawTree removes all database work between raw data and production queries.\n\nSkip the upfront schema work without sacrifying performance\n\nSend events, JSON, protobuf, Parquet/CSV/TSV files, or any type of telemetry directly. RawTree creates dynamic columns on ingest, so tables evolve with your applications. No schema, migration, or modeling work upfront.\n\nPurpose-built for agentic coding and observability\n\nRawTree exposes primitives agents already understand. Use the API, SDKs, CLI, or MCP server to let agents build analytic features, analyze logs and traces, debug systems or track their own work.\n\nPerformance that adapts to your production workloads\n\nRawTree infers compression at ingestion time, data types at query time and optimizes recurring access patterns automatically with JIT projections. Optimization follows usage, no guesswork involved.\n\nUse cases\n\nA single analytical layer for telemetry, events and agent data.\n\nSend traces, logs, metrics, and wide events to RawTree through native OTLP endpoints. Query telemetry with SQL or PromQL-compatible queries without modeling every signal upfront.\n\nimport{RawTree}from\"@rawtree/sdk\";constrawtree=newRawTree({apiKey:process.env.RAWTREE_API_KEY!,});awaitrawtree.insert(\"events\", [{event:\"signup\",user_id:\"u_123\"},]);constresult=awaitrawtree.query<{total:number}>(\"SELECT count() AS total FROM events GROUP BY event\");\n\nReal-time analytics\n\nRawTree exposes primitives agents already understand. Stream raw application events into RawTree and query them as soon as they land. Build analytics over changing event payloads at workloads.\n\nCapture tool calls, commands, traces, logs, and runtime events from agent runs. Reconstruct what happened with SQL or let an agent inspect its own execution history.\n\nRun RawTree Cloud with autoscaling or fine control over your clusters. Multi-cluster deployments and multi-database setups. Or run it on your own infrastructure with data-plane control.\n\nOfficial RawTree Terraform provider to wire AWS sources into RawTree. Kinesis, Firehose, CloudWatch, AWS WAF, CloudTrail, and more. Land operational data directly into queryable tables.\n\nSee RawTree query behavior, ingestion health, and performance signals without any extra tooling. Available via the UI, CLI, MCP or APIs\n\nCollaborate with your team\n\nShare data across teams and environments. Enable your agents with simple API keys.\n\nMessy JSON? Contribute a 'transform'\n\nQuery JSON nested data naturally. But if it gets too complex, contribute transformation code to shape it.\n\n\"It's the S3 of the analytics category. Ingest and query. It just works\"\n\nGuillermo Rauch\n\nCEO, Vercel\n\n\"RawTree let us complete this in hours, with confidence it will keep working as Kiro’s data evolves and new sources are added.\"\n\nRicardo Edo\n\nCTO at Galeo\n\n\"It works especially well because it allows you to quickly move from a legacy, heterogeneous setup to a standardized core that can be dynamically adapted by the organization.\"\n\nFJ\n\nJavier Perez Ferrer\n\nData at NTT data\n\n\"It's just fast and simple. Works out of the box with coding agents. Exactly how it should be.\"\n\nRafa Moreno\n\nLead developer\n\nReady to get started\n\nStart querying JSON with SQL in minutes. No credit card required.", "url": "https://wpnews.pro/news/rawtree-a-clickhouse-fork-by-tinybird", "canonical_source": "https://rawtree.com/", "published_at": "2026-09-13 08:15:02+00:00", "updated_at": "2026-09-13 08:27:38.744528+00:00", "lang": "en", "topics": ["ai-agents", "ai-infrastructure", "developer-tools", "ai-tools"], "entities": ["Tinybird", "RawTree", "ClickHouse", "Guillermo Rauch", "Vercel", "Ricardo Edo", "Galeo", "NTT Data"], "alternates": {"html": "https://wpnews.pro/news/rawtree-a-clickhouse-fork-by-tinybird", "markdown": "https://wpnews.pro/news/rawtree-a-clickhouse-fork-by-tinybird.md", "text": "https://wpnews.pro/news/rawtree-a-clickhouse-fork-by-tinybird.txt", "jsonld": "https://wpnews.pro/news/rawtree-a-clickhouse-fork-by-tinybird.jsonld"}}