Our AI enabled monitoring platform watches cost, performance, data quality, observability and security data in one place. Our ClickHouse experts turn what it finds into action.
Most ClickHouse monitoring is reactive. Something goes wrong, an alert fires and an engineer starts digging through system tables. Our proactive support service takes a different approach. Our monitoring platform continuously analyses your cluster, combines hundreds of signals with AI driven analysis, and turns them into a prioritised list of improvements covering cost, performance, reliability, data quality and security.
Tooling alone is only half the picture, so we pair the platform with expert advice. Our ClickHouse consultants review what it surfaces, explain what matters for your workload, advise on the right fixes and work with your team to put them in place. It also gives us a fast and consistent way to assess a new cluster, identify the highest value improvements, and then track that those improvements stick over time.
All of this is backed by a support escalation path under SLA. Your environments are continuously monitored, and when an issue needs attention our ClickHouse experts are on hand to respond to incidents, outages and urgent performance issues.
Our platform connects to your ClickHouse cluster and brings everything you need to run it well into a single platform, from cost control and performance monitoring through to data quality, observability and security, with an AI layer that ties the signals together and recommends what to do about them.
An AI agent continuously reviews your cluster and produces a prioritised list of recommendations across security, cost, performance, schema, reliability and data quality, each with its target, impact and estimated monthly saving.
Track spend to date, month end forecasts and remaining credits. Break costs down by category, service and user, set budgets, and identify over-provisioned services and the query patterns driving your compute bill.
Dozens of built in checks for slow and long running queries, memory pressure, merge backlogs, replication lag, part counts and insert throttling, with history, severity levels, incidents and silences.
Define tests against your tables for freshness, volume, nulls, duplicates and business rules. We suggest new checks based on how your data is actually used and alerts when something breaks.
A single view across the query log, part log, metrics and server logs, so you can move from a spike or an alert to the underlying query, merge, user or table in a couple of clicks.
Visualise users, roles and grants as a graph and audit them for risky configurations such as privileged users reachable from any host, destructive privileges on all databases and re-grantable permissions.
Catalogue every database, table and column, find undocumented objects that are heavily queried, and keep descriptions up to date so that both people and AI agents understand your data.
Run SQL based tests as part of your deployment process or on a schedule, catching regressions in schemas, query performance and data before they reach production users.
Rather than waiting for something to break, our platform continuously reviews your cluster and produces a prioritised list of recommendations. Each one is categorised across security, cost, performance, schema, reliability, documentation and data quality, with a severity, the affected target, the expected impact and any estimated monthly saving. Recommendations can be snoozed, dismissed or resolved, and exported as Markdown or CSV to share with your team.
You get a single view across the query log, part log, metrics and server logs. Chart activity over any time range, break it down by query type or event type, and drill from a spike straight into the individual queries, merges and mutations behind it, without stitching together system tables by hand.
Our platform ships with a library of ClickHouse specific checks built from our experience running production clusters. Each check runs on a schedule, records its history and raises incidents when thresholds are breached, covering queries, inserts, parts and merges, replication, Keeper, dictionaries, storage and server errors.
Define SQL based tests and data quality rules against your tables, such as uniqueness, freshness, accepted values and business rules. We run them on a schedule, tracks compliance and run history for every check, and flags failures before bad data reaches your users.
Access control in ClickHouse quickly becomes hard to reason about as users, roles and grants accumulate. We map your users, roles and grants as an interactive graph so you can see exactly who can do what, and continuously checks for risky configurations such as privileged users reachable from any host, destructive privileges on all databases, re-grantable permissions and privileges granted directly to users rather than through roles.
See where your money is going and where it is heading. We track month to date spend, forecasts the month end position and breaks costs down by compute, storage, data transfer and backup, so you can catch runaway spend early and right-size your services with confidence.
Whether you're evaluating ClickHouse, planning a migration, or optimising an existing deployment get in touch now for an initial discussion.
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