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JSON dashboard export and pluggable data sources make migration manageable.","Plugin ecosystem covers any data source; custom dashboards, alerting, and the LGTM stack.","Efficient panel rendering; alert evaluation is lightweight; scales with data source performance.","The standard for open-source observability dashboards; widely deployed across industries.",[381,403],{"stack_id":382,"slug":383,"name":384,"tagline":385,"experience_level":386,"project_type":387,"stack_type_slug":388,"stack_type_icon_url":389,"score_popularity":35,"score_learning_curve":39,"catalog_display_order":32,"published_date":32,"last_updated_date":32,"core_tool_previews":390},110,"streaming-analytics-pipeline","Streaming Analytics Pipeline","Real-time streaming analytics with Kafka, dbt, ClickHouse, and Grafana dashboards.","advanced","dashboard","project","https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Fstack-types\u002Fproject.svg",[391,392,393,398,402],{"tool_id":37,"slug":240,"name":239,"logo_url":242,"logo_bg":202},{"tool_id":282,"slug":284,"name":283,"logo_url":286,"logo_bg":202},{"tool_id":394,"slug":395,"name":396,"logo_url":397,"logo_bg":100},133,"apache-kafka","Apache Kafka","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fapache-kafka.svg",{"tool_id":399,"slug":400,"name":400,"logo_url":401,"logo_bg":202},74,"dbt","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fdbt.png",{"tool_id":341,"slug":343,"name":342,"logo_url":345,"logo_bg":202},{"stack_id":404,"slug":405,"name":406,"tagline":407,"experience_level":408,"project_type":409,"stack_type_slug":388,"stack_type_icon_url":389,"score_popularity":37,"score_learning_curve":37,"catalog_display_order":32,"published_date":32,"last_updated_date":32,"core_tool_previews":410},108,"modern-elt-stack","Modern ELT Stack","Airbyte extracts into Snowflake, dbt transforms, Airflow orchestrates: the modern ELT standard.","intermediate","data_pipeline",[411,412,417,418,419],{"tool_id":37,"slug":240,"name":239,"logo_url":242,"logo_bg":202},{"tool_id":413,"slug":414,"name":415,"logo_url":416,"logo_bg":202},57,"snowflake","Snowflake","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fsnowflake.svg",{"tool_id":312,"slug":314,"name":313,"logo_url":316,"logo_bg":202},{"tool_id":399,"slug":400,"name":400,"logo_url":401,"logo_bg":202},{"tool_id":420,"slug":421,"name":422,"logo_url":423,"logo_bg":202},9,"apache-airflow","Apache Airflow","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fapache-airflow.svg",[425,428,431,434,437],{"question":426,"answer":427},"ClickHouse or Snowflake for this kind of pipeline?","ClickHouse is the right call when queries need to be fast and cheap at high event volume and the workload is real-time or near-real-time analytics. Snowflake fits better for classic BI reporting over structured business data with less emphasis on sub-second query speed.",{"question":429,"answer":430},"Do I need dbt for transformations here?","Not necessarily. ClickHouse's materialized views can handle a lot of the pre-aggregation directly; dbt becomes worth adding once transformation logic gets complex enough to want version control, tests, and documentation around it.",{"question":432,"answer":433},"What does it take to run all three services?","More than a minimal VPS. Airbyte is the heaviest to install: its self-hosted setup runs on a small Kubernetes cluster that it creates for you, and its quickstart asks for roughly 4 CPUs and 8 GB of RAM before anything else is running. ClickHouse is light when idle but uses CPU and memory in bursts during ingestion and large queries, and it needs fast disk. Grafana is small. A single server with 8 CPUs and 16 GB of RAM runs all three for a modest event volume; beyond that, give ClickHouse its own machine so a big sync or a heavy dashboard query can't starve the others. Back up ClickHouse's data; Airbyte's configuration and Grafana's dashboards are small and easy to export.",{"question":435,"answer":436},"Why do dashboards show duplicate rows after a deduplicated sync?","Because ClickHouse deduplicates later, not on insert. For incremental syncs with deduplication, rows land in tables built on ReplacingMergeTree, which keeps every inserted version and only drops older copies when ClickHouse merges data parts in the background. Until that merge happens, a plain count or sum can include the same record twice. Queries that must be exact can add FINAL to the table reference, which deduplicates at read time at some cost in speed, or aggregate on the newest version of each key. For dashboards, the usual answer is a materialized view that maintains the aggregate on the fly, so Grafana reads small, already-correct tables.",{"question":438,"answer":439},"How do I keep Grafana dashboards fast on large ClickHouse tables?","Make every panel's query respect the dashboard's time range, using the ClickHouse plugin's time-filter macro on a column that is part of the table's sort key, so ClickHouse reads only the relevant slice rather than scanning the full history. Keep auto-refresh reasonable: a dashboard of twenty panels refreshing every five seconds sends thousands of queries an hour, even with nobody watching. For the charts that everyone opens, query pre-aggregated materialized views (per minute or per hour) instead of raw events. Those three habits keep query times low as the tables grow from millions to billions of rows.",{"summary":441,"starting_cost_label":442,"has_free_tier":3,"line_items":443},"Airbyte, ClickHouse, and Grafana are all free and open source in their self-hosted editions used here. The only recurring cost is the server running them; ClickHouse in particular benefits from real CPU and memory headroom once event volume grows past a hobby-scale workload.","From ~$20-50\u002Fmo",[444,448],{"label":445,"cost":446,"note":447},"Airbyte, ClickHouse, Grafana","Free (open source)","All three are free to self-host with no usage limits; Airbyte Cloud starts at $10\u002Fmo if managed hosting is preferred.",{"label":449,"cost":450,"note":451},"Server capacity","$20-100+\u002Fmo","Airbyte's self-hosted install alone asks for roughly 4 CPUs and 8 GB of RAM, and ClickHouse wants CPU and memory headroom for continuous ingestion; plan on one mid-size server or separate small ones rather than a minimal VPS.",{"title":453,"description":454,"og_image":32,"canonical":455},"Airbyte + ClickHouse + Grafana: Tools, Pricing & How to Deploy | Tekyous","Airbyte ingests data into ClickHouse, Grafana visualizes it in real-time dash… Compare Airbyte + ClickHouse + Grafana tools, pricing & how to deploy on Tekyous.","https:\u002F\u002Ftekyous.dev\u002Fstacks\u002Fairbyte-clickhouse-grafana",1790518791585]