Managed ClickHouse Hosting — production-ready from $15 a month
Columnar database for real-time analytics. Deployed on your own dedicated instance in AWS, Azure, or GCP, kept patched, backed up, and monitored by ManageStacks — standard ClickHouse, no lock-in.
ClickHouse on ManageStacks is production-grade ClickHouse deployed to your own AWS, Azure, or GCP region — priced flat at $29 per cluster per month regardless of query volume, with sub-second analytical queries on billions of rows, replication + sharding, materialized views, and native Kafka/S3 integrations. Materially cheaper than ClickHouse Cloud, Snowflake, or BigQuery for analytical workloads under 10 TB, and your analytical data stays in your cloud region.
What does ClickHouse do, and why do teams deploy it?
ClickHouse is an open-source columnar database purpose-built for online analytical processing (OLAP). It executes analytical queries on billions of rows in milliseconds — an order of magnitude faster than row-based databases like Postgres or MySQL for group-by, filter, and aggregation workloads. That performance comes from three things: columnar storage (only read the columns you query), vectorised query execution, and aggressive compression (typical 10-100x reduction vs raw).
Originally built at Yandex for their web analytics platform, ClickHouse is now used at every scale — from log analytics on a few GB to petabyte-scale event pipelines at Cloudflare, Uber, and eBay. It supports full SQL (with analytical extensions), materialized views for pre-aggregated data, and native connectors for Kafka, S3, HDFS, PostgreSQL, MySQL, and Kinesis.
Running ClickHouse in production means running clickhouse-server, configuring MergeTree engines correctly (partition + primary key choice determines query performance), setting up ZooKeeper or ClickHouse Keeper for the replicated MergeTree family, sizing memory for query execution (ClickHouse loves RAM), and testing version upgrades (ClickHouse ships frequently — sometimes weekly). ManageStacks handles the operational side.
- Columnar storage with 10-100x compression vs row-based DBs
- Sub-second analytical queries on billions of rows
- Full SQL + analytical extensions (window functions, arrays, tuples, nested types)
- Materialized views for real-time pre-aggregation
- Native integrations: Kafka, S3, HDFS, PostgreSQL, MySQL, Kinesis, MongoDB
- Distributed engine with ReplicatedMergeTree + sharding
Columnar database for real-time analytics
What does managed ClickHouse hosting cost?
Flat per-app pricing, in your chosen AWS, Azure, or GCP region. No per-user pricing — a busy deployment costs the same as a quiet one.
Starter
Staging and internal tools. Dedicated instance, TLS, daily backups, managed upgrades.
Standard
Production workloads. Adds monitoring, staging environment, region choice, priority support.
Business
High-traffic and compliance workloads. Adds a high-availability replica and same-day support.
24×7 SRE retainer
Round-the-clock on-call across every hosted application, for teams that need a pager answered at 3am.
Self-hosting ClickHouse vs managed — what does it really cost?
The software is free. The engineer-hours are not.
Running it yourself
- Provision servers, install clickhouse-server, configure ClickHouse Keeper (or ZooKeeper)
- Design ReplicatedMergeTree topology and configure remote_servers.xml for cluster coordination
- Set up S3-backed backups; test restores; script backup retention
- Track ClickHouse's weekly releases and manually validate upgrades
- Size memory + max_memory_usage carefully; monitor query kill rates
On ManageStacks
- Subscribe through your AWS, Azure, or GCP marketplace
- ClickHouse comes up as a replicated cluster with Keeper coordination and Grafana monitoring
- S3-backed backups + retention run in the background
- Rolling upgrades across cluster nodes keep the database available
- Native Kafka + S3 + PG connectors ready to configure
ClickHouse on ManageStacks vs the alternatives
How ClickHouse on ManageStacks compares to ClickHouse Cloud and the two dominant cloud data warehouses for analytical workloads.
| ClickHouse on ManageStacksUs | ClickHouse Cloud | Snowflake | Google BigQuery | |
|---|---|---|---|---|
| Deployment | Managed on your AWS, Azure, or GCP | Vendor-hosted (multi-cloud) | Vendor-hosted | GCP-managed |
| Data residency | Your cloud region | Vendor region choice | Vendor region choice | GCP region |
| Pricing basis | Flat per cluster | Per compute-unit + storage + queries | Per credit-second + storage | Per byte-scanned + storage |
| Compute model | Dedicated compute | Serverless / autoscaling | Serverless warehouses | Serverless |
| Open source | Yes (Apache 2.0) | Yes (Apache 2.0, hosted) | No (proprietary) | No (proprietary) |
| Best for | High-QPS embedded analytics, event pipelines | Elastic workloads, hands-off ops | Ad-hoc BI, data sharing | Ad-hoc queries, sporadic workloads |
Provisioning, upgrades, backups and monitoring on your team’s plate.
What does running ClickHouse yourself involve?
ManageStacks handles the operational complexity of production ClickHouse — replicated cluster setup, ClickHouse Keeper for coordination, S3-backed backups, memory tuning for query execution, and version upgrades tested against your data — so your data team focuses on schema design, MergeTree engine choice, and materialized-view topology instead of the operating platform.
ClickHouse key numbers
How long from subscribing to a live instance?
Subscribe
Subscribe to ManageStacks through your AWS, Azure, or GCP marketplace.
Provision
ClickHouse replicated cluster spins up with Keeper coordination, S3-backed backups, and Grafana monitoring — typically 3-5 minutes.
Load data
Ingest from Kafka, S3, Postgres, or via INSERT SELECT from remote(). Design MergeTree tables with the right partition + primary key for your queries.
Query
Point Superset, Grafana, dbt, or your BI tool at the cluster. Dashboards refresh in milliseconds, not seconds.
When is self-hosting ClickHouse the right answer instead?
“Managed hosting is not always the correct call.”
Self-host when a platform team already runs the infrastructure and on-call rotation to operate ClickHouse at genuinely low marginal cost. Self-host when compliance requires an air-gapped or on-premises deployment that no hosted option can satisfy. And self-host when the deployment depends on heavy customisation with a fast internal build-deploy loop, because an internal release process will beat any managed change process.
For everyone else — teams whose engineers have better things to do than shepherd upgrades — managed hosting is cheaper than the hours it replaces.
Which cloud should ClickHouse run on — AWS, Azure or GCP?
For most workloads, the choice of cloud matters less than proximity: run ClickHouse in the same cloud and region as the applications and data it talks to, because every request between them adds a round trip. The underlying compute performs equivalently across AWS, Azure, and GCP.
In practice, an existing cloud footprint decides it. All plans support all three clouds, and moving regions later is a scheduled migration, not a rebuild.
Deepest managed-service catalog, default when there's no existing footprint
Best fit for teams already on Microsoft 365 or Entra ID
Strongest for data/analytics-adjacent workloads
Every plan supports AWS, Azure, and GCP — region choice included.
Common questions about ClickHouse on ManageStacks
How does this compare to ClickHouse Cloud?
ClickHouse Cloud is the vendor-hosted offering, priced per compute-unit + storage + queries. ManageStacks is a flat $29 per cluster at standard tier. For workloads under 10 TB and moderate query concurrency, self-hosted on ManageStacks is materially cheaper. ClickHouse Cloud is worth it for very-large fleets, serverless auto-scaling, or if you specifically want the vendor's roadmap features (SharedMergeTree, etc).
How does this compare to Snowflake or BigQuery?
Different tradeoff. Snowflake and BigQuery are serverless — you pay per query-second or per byte-scanned, with elastic scaling. ClickHouse on ManageStacks is dedicated infrastructure at flat price — you get the compute you provisioned, with predictable cost. For high-query-volume analytical workloads (dashboards refreshing every minute, user-facing embedded analytics), ClickHouse's dedicated model is often cheaper. For sporadic ad-hoc analysis, serverless wins.
How is ClickHouse replication set up?
ReplicatedMergeTree tables replicate automatically via ClickHouse Keeper (or ZooKeeper). Standard plans include a 2-node replicated cluster; Business+ plans include multi-shard clusters for horizontal write scale. Replicated tables survive node failures without data loss.
Can I stream data in from Kafka?
Yes — Kafka is a first-class ingestion source. ClickHouse's Kafka engine consumes from topics and lands into MergeTree tables (usually via a materialized view for schema shaping). If Kafka is also on ManageStacks, the two run in the same cloud region — no cross-region data transfer.
Does ManageStacks handle ClickHouse version upgrades?
Yes. ClickHouse ships weekly stable releases. We track LTS versions and validate upgrades against a clone of your data before rolling forward. Rolling upgrades across replicated cluster nodes keep the database available throughout.
How is backup handled — ClickHouse's own backup engine or something else?
ClickHouse's native BACKUP / RESTORE commands (with S3 destination) are used for full and incremental backups. Daily backups are encrypted and stored in a separate region. Point-in-time recovery within the retention window is available.
What about materialized views and Refreshable Materialized Views?
Standard materialized views (populate synchronously as data lands) work as documented. Refreshable Materialized Views (periodic full or incremental refresh) are supported on recent ClickHouse versions and available on ManageStacks.
What happens if I want to migrate off?
Full backup export via ClickHouse BACKUP command (self-describing format, portable to any ClickHouse deployment). Or use clickhouse-copier / remote() table function for direct migration to another cluster. ClickHouse is Apache-2.0 licensed and portable. Migration off is a supported operation.
Run ClickHouse without carrying the pager
Subscribe through your AWS, Azure, or GCP marketplace. We handle provisioning, SSL, monitoring, backups, updates, and security. From $15/mo.