Your ClickHouse instance scans billions of rows in under a second (Improvado clocks queries at 100x faster than row-based databases). But every time your CEO asks why signups dipped on Tuesday, you’re back in a SQL editor writing GROUP BY clauses by hand.
This guide covers a ClickHouse AI integration using HotBot AI: connect ClickHouse inside HotBot once, then ask your data questions in plain English. No dashboards to build, no queries to memorize. Below are five concrete workflows, the HotBot model tier that fits each, and how the free tier works if you’re not a member yet.
One clarification before we start: HotBot is an independent AI chat service. It isn’t an official ClickHouse product, and it isn’t affiliated with or endorsed by ClickHouse. The third-party names here just identify the models and apps you can use.
What You’ll Need
- A HotBot membership — connectors are a members-only feature. Sign in or subscribe here.
- A ClickHouse instance you have read access to (Cloud or self-hosted).
- Basic familiarity with your data — you should know roughly what tables and metrics live in your instance.
- A question worth asking — signup trends, revenue by country, error-rate spikes. Whatever’s bugging you.
That’s the full list. No SQL required, and no BI tool sitting in front of ClickHouse — though 72% of ClickHouse users rely on one, per ClickHouse’s 2025 survey. This workflow is for the rest of us who just want answers.
Estimated Time: 10 minutes to connect and run your first query. Difficulty Level: Beginner. If you can type a question, you can do this.
Step 1: Sign In and Connect ClickHouse Inside HotBot
Start by signing in to HotBot. Connectors sit behind membership, so this step only works once you’re a member. The free-tier workaround comes later if you want to test the idea first.
Once you’re in, connect ClickHouse from inside HotBot. Connectors let the assistant work with your app’s data directly, so the model can read your schema and query your tables instead of guessing. I’m skipping specific menu screens on purpose — connect it from inside HotBot after signing in and follow the in-product flow.
One thing matters more than the rest at this stage: give the connection read-only access if your setup allows it. You want the assistant querying data, not touching it. Most analytics-agent setups default to read-only for that reason.
Step 2: Ask Plain-English Questions of Your Metrics
This is the payoff, and it’s the whole reason ClickHouse AI integration is worth setting up. Once connected, you just ask.
Try prompts like:
- “Which databases and tables do I have on my production service?”
- “What was the average session duration by country over the last 7 days?”
- “Show me daily active users for the last 30 days.”
Then follow up conversationally: “Break that down by device type.” The assistant keeps context, so your second question builds on the first query instead of starting over. It’s the same pattern ClickHouse describes for plain-language querying, where “break that down by device type” runs as a second query within one conversation.
Model tier: Use HotBot Chat here. It’s fast, and everyday metric questions don’t need heavy reasoning. Grab it from the HotBot Chat workspace. If your schema is huge or the question spans many tables, bump up to Chat Plus.
Step 3: Explain Anomalies (Not Just Surface Them)
Most dashboards show you the spike and leave you to figure out why. A red line went up. Now what?
With HotBot connected to ClickHouse, you chase the “why” in the same conversation:
“Error rates jumped on the payment service around 2pm yesterday. Query the events table, find which endpoints or user segments drove the spike, and tell me what’s different about them versus the previous week.”
The assistant runs the aggregations, high-cardinality counts included, and gives you a plain-English read on what changed. ClickHouse suits this kind of work well: its columnar storage means only the referenced columns get read from disk, so multi-dimensional slices stay fast.
Model tier: This is where HotBot Chat Plus earns its keep. Anomaly explanation is step-by-step thinking: form a hypothesis, query, check, refine. For a gnarly root-cause investigation across many dimensions, go Chat Pro with its deeper reasoning and 1M-token context, which helps when you’re pasting in large schemas or long log excerpts alongside the live data.
Step 4: Draft Weekly Reports From a Single Prompt
Assembling the same weekly report — write SQL, copy numbers, format, repeat — eats 30 to 60 minutes of an analyst’s time. One team cut that to under 30 seconds by letting an agent query ClickHouse and generate the report end to end.
You can do the same in HotBot. Try:
“Draft our weekly growth report. Pull signups, active users, revenue by channel, and top 3 error sources from the last 7 days versus the prior 7. Write it as a short exec summary with the numbers called out and one line on what changed.”
Save the prompt, run it every Monday, and adjust the wording as your metrics evolve.
Model tier: HotBot Chat Plus handles the structure well. For polished, narrative-heavy prose — the kind you’d forward to a board — try a third-party model on HotBot known for writing quality. One subscription spans 800+ models, so you can pick the right brain for the job without switching tools.
Step 5: Write and Refine Queries in Plain English
Sometimes you do want the SQL — to save it, schedule it, or drop it into a materialized view. HotBot writes ClickHouse-dialect SQL for you.
“Write a ClickHouse query for last-touch attribution: for each user, assign 100% of revenue to their final touchpoint before conversion. Use a window function.”
You’ll get something like the ROW_NUMBER() OVER (PARTITION BY user_id ORDER BY event_time DESC) pattern Improvado documents for attribution modeling. Ask it to explain the query, add a FINAL modifier for a ReplacingMergeTree table, or optimize the sort key — all in plain English.
Model tier: For quick queries, HotBot Chat is fine. For complex query optimization or a tricky multi-CTE build, use Chat Pro — its deep reasoning catches edge cases like wrong engine assumptions and cardinality traps that faster models miss. If you lean on a specific coding-focused model, you can pick one from HotBot’s lineup instead.
Without the Connector: The Free-Tier Workaround
No membership yet? You can still get a taste. Connectors aren’t available on the free tier, but you can paste ClickHouse content directly into HotBot and prompt on it.
The move:
- Run a query in your ClickHouse client and copy the result set (or the schema, or a
system.query_logexcerpt). - Paste it into a HotBot chat.
- Ask your question: “Here’s last week’s revenue-by-country output — what stands out, and what should I query next?”
It’s more manual. You’re the one running queries and ferrying results. But for one-off analysis, or for proving the concept before you subscribe, it works. It also makes a solid ClickHouse ChatGPT alternative when you want a different model’s take on the same numbers.
When you’re ready for the real thing — the assistant querying live data itself — subscribe here. Pricing runs a free tier, $7.95/week, or $39.95/quarter.
Common Issues
The assistant guesses at columns that don’t exist. Ask it to list your tables and inspect the schema first: “List my databases and tables, then describe the events table before answering.” Grounding it in the real schema fixes most hallucinated-column problems.
Queries feel slow or scan too much. ClickHouse rewards good schema design — MergeTree is the right choice in ~95% of cases, and proper partitioning matters. If a query drags, ask HotBot to optimize it and check whether you’re filtering on your sort key.
Wrong results on tables with updates. If you’re using ReplacingMergeTree, you may need a FINAL modifier to get deduplicated rows. Tell the assistant which engine your table uses and it’ll adjust.
Numbers look off across a conversation. Long threads can drift. Restate the exact time window and filters in a fresh prompt to reset context.
What’s Next
Once you’re comfortable, string these workflows together. Save your weekly-report prompt. Ask “why” on every anomaly instead of just noting it. Run the same question across two different models on HotBot and see whose read you trust more.
To push further into narrative reports or visuals, explore the rest of HotBot’s model lineup — one subscription, every major provider, plus HotBot Chat, Chat Plus, Chat Pro, and the HotBot Image engine.
The core shift is small but real: you stop building views of your data and start talking to it. After that, hand-writing GROUP BY clauses feels a little silly.
FAQ
Do I need to be a member to connect ClickHouse?
Yes. Connectors are a members-only feature — signed-in members can connect ClickHouse inside HotBot so the assistant works with your data directly. On the free tier, you can still paste ClickHouse output into a chat and prompt on it. Sign in or subscribe here.
Is HotBot an official ClickHouse product?
No. HotBot is an independent AI chat service and isn’t affiliated with or endorsed by ClickHouse. Third-party names identify the models and apps available through HotBot — nothing more.
Which HotBot model should I use for data analysis?
Use HotBot Chat for fast everyday metric questions, Chat Plus for step-by-step anomaly investigation and report drafting, and Chat Pro for deep query optimization or root-cause work (it has a 1M-token context and vision). You can also pick from 800+ third-party models when one fits better.
Is this a good ClickHouse ChatGPT alternative?
If you want one subscription that spans many models rather than a single vendor’s, yes. HotBot gives you 800+ models plus its own engines, so you can ask the same ClickHouse question across different models and compare answers.
How much does HotBot cost?
There’s a free tier, then $7.95/week or $39.95/quarter. See current details on the pricing page.
Can HotBot write ClickHouse-specific SQL?
Yes. It handles ClickHouse dialect including window functions, FINAL modifiers for ReplacingMergeTree tables, and engine-aware optimizations. Ask it to explain or refine any query in plain English.
