ClickHouse AI employee
A Superkind AI employee that queries data in ClickHouse, creates analyses, investigates queries, and monitors anomalies. Message it in Teams or Outlook, it works in ClickHouse and reports back with the result. Sensitive actions such as correcting data or granting new access wait for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a ClickHouse AI employee?
A ClickHouse AI employee is an AI that connects to your ClickHouse account and completes work in it. It runs SQL queries, creates analyses, checks system.query_log, and prepares data corrections. Superkind builds this AI employee with your company knowledge, metrics, and rules.
Unlike Zapier or Make, there is nothing to configure. You describe the result you want, the AI employee picks the right ClickHouse actions, chains them with your other systems, and asks for your approval before sensitive changes.
ClickHouse is a column-oriented database for fast analysis of large datasets, real-time reporting, and operational analytics.
You ask in Teams
Describe the data or analysis you need in plain English.
Superkind picks the actions
Selects the right ClickHouse queries and chains them with your systems.
Superkind works in ClickHouse
Queries tables, checks query logs, and prepares changes.
Superkind reports back
Delivers the finished table or analysis to Teams or Outlook.
What can you ask Superkind to do in ClickHouse?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Query orders from the last seven days and return revenue, region, and status as a table.”
you, to @Superkind“Analyse the slowest queries in system.query_log and name the three largest memory consumers.”
you, to @Superkind“After my approval, correct the faulty records in events from pending to processed.”
you, to @Superkind“Let me know here as soon as ClickHouse daily error rates differ from average by more than 20 percent.”
you, to @SuperkindHow does Superkind work with ClickHouse?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Connect ClickHouse with minimal permissions. Add Teams and the systems your data comes from. Superkind checks the connection and knows the approved databases. You can then get started directly in Teams.
@Superkind please investigate the error rate outliers in events and prepare the required status correction in ClickHouse.
On it. I am checking the events data and preparing the correction for approval.
2Tell Superkind what you need
Message Superkind in Teams like a colleague. Ask for a table, an analysis, or the cause of a slow ClickHouse query. Superkind translates your goal into the right actions. If details are missing, it asks directly in Teams.
- 12 outliers found in events
- Highest error rate: 8.4 percent
- Correction set with 12 rows created
events correction setWaiting for your approvalCorrect 12 events rows?3Superkind operates, you approve
Superkind runs the query in ClickHouse and reports the result in Teams. Read tasks run within the agreed permissions. Changes to production data or access wait for your approval. Every step is logged.
What can Superkind do in ClickHouse?
Ask in plain English from Teams or Outlook. Superkind picks the right ClickHouse actions, completes the work, and reports back. No workflows to build.
Run SQL query
Runs a read-only SQL query against approved ClickHouse databases.
Explain query plan
Reads EXPLAIN for a ClickHouse query and explains the plan, indexes, and parts read.
Find slow queries
Finds slow queries in system.query_log by duration, memory, and rows read.
Investigate query errors
Investigates failed entries in system.query_log and summarises error codes and causes.
Export query result
Returns a ClickHouse query result as a table or CSV with the requested columns.
Insert rows
Inserts approved records into an authorised ClickHouse table with INSERT.
Correct records
Changes selected rows with a mutation based on a confirmed filter.
Compare row counts
Compares row counts between ClickHouse tables, partitions, or time ranges.
Inspect parts
Checks active parts, sizes, and rows in system.parts for a MergeTree table.
Monitor mutations
Shows status, progress, and errors for running mutations from system.mutations.
List tables
Lists tables in a ClickHouse database with engine, row count, and storage size.
Describe table schema
Shows columns, data types, defaults, and keys for a ClickHouse table.
Create table
Creates a ClickHouse table with the confirmed engine, key, and partitioning design.
Create materialized view
Creates a materialized view for a confirmed aggregation and target table.
Inspect dictionaries
Shows ClickHouse dictionaries, sources, status, and recent loading errors from system.dictionaries.
List services
Lists ClickHouse Cloud services with region, tier, state, and replica count.
Check service status
Checks the state, endpoints, and current scaling of a ClickHouse Cloud service.
List backups
Shows available ClickHouse Cloud backups with status and creation time.
Review scaling
Summarises compute size, replica count, and scaling events for a Cloud service.
Scale service
Changes the compute size or replica count of a ClickHouse Cloud service.
List users
Lists ClickHouse users with authentication method and assigned roles.
Check permissions
Shows roles and grants for a ClickHouse user or database.
Grant permissions
Assigns confirmed grants to a ClickHouse user or role.
Create API key
Creates a ClickHouse Cloud API key with the agreed role and lifetime.
Monitor ClickPipes
Checks the state, source, and latest errors of existing ClickPipes for data ingestion.
Analyse storage usage
Summarises storage use by database, table, partition, and active part.
Superkind AI employees that work with ClickHouse
Every role brings its expertise and uses ClickHouse as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for ClickHouse.
Yes. Superkind connects ClickHouse through a managed connector and approved credentials. Your team can then ask the AI employee from Microsoft Teams or Outlook to run queries, create analyses, and complete checks. It only receives access to the agreed databases, tables, and Cloud services. Every action it runs is logged for traceability.
An admin provides a dedicated ClickHouse user or service-bound API key with minimal permissions. Together, we select the allowed databases, tables, and Cloud services and test the connection. Superkind stores the credentials securely. The AI employee is then ready in Teams or Outlook and works only within the confirmed permissions.
It can run SQL queries, return results as tables, investigate system.query_log, explain slow queries, inspect parts and mutations, and monitor data quality. With approval, it can also correct records, create tables or materialized views, scale a Cloud service, and grant permissions. The allowed actions are defined for your use case.
No. You describe the table, metric, or check you need in plain English. Superkind picks the right ClickHouse actions and connects them with Teams, Outlook, Jira, or other approved systems when needed. There are no triggers or zaps to maintain. If a filter or time range is missing, the AI employee asks.
Only with your approval. Read-only queries and agreed checks can run independently. An INSERT, mutation, new table, permission change, or Cloud service scaling waits for a responsible person to approve it in Teams. Your team decides which actions are sensitive and who may approve them.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee uses minimal ClickHouse permissions, such as SELECT only on approved tables. Your data is not used for training. Model requests run without retention. Queries, results, approvals, and changes are logged so every access remains traceable.
ClickHouse itself is available as open source. ClickHouse Cloud uses consumption pricing for compute and storage, and small services running continuously often cost in the low hundreds of euros per month. Zapier starts at about 20 euros and Make at about 10 euros per month, both plus setup time. Superkind is priced per use case, a fraction of a full-time hire.