Cloud VPS 6 GB
Most popularA TimescaleDB server for one application's metrics or sensors.
$24.99per month
- 6 GB RAM
- 4 vCPU cores
- 100 GB NVMe SSD
- 30 TB
- Unlimited
Deploy TimescaleDB hosting and run a self-hosted time-series database on PostgreSQL 17 on a dedicated Cloud VPS. xCloud starts the pinned Apache 2 Edition image of TimescaleDB 2.29.1 with a generated user, password and database, keeps the cluster on a persistent volume with telemetry off, and shows a PostgreSQL URI you can paste straight into psql, a driver or a dashboard, with no compose file and no tuning to write.
TimescaleDB is a PostgreSQL extension for high-performance real-time analytics on time-series and event data. It adds hypertables and time-oriented query functions to ordinary PostgreSQL tables, so you keep SQL and the PostgreSQL ecosystem. Run on your own server it is a self-hosted TimescaleDB, a time-series database and the alternative to a managed service such as Tiger Cloud, here in its Apache 2 Edition, so you choose the roles, firewall rules and backups yourself.
On xCloud it is one container, timescale/timescaledb 2.29.1-pg17-oss pinned by digest, on PostgreSQL 17. The generated user, password and database sit on the timescaledb_data volume, and container port 5432 is published on a host port. The -oss image excludes Timescale License features, and PostgreSQL TLS is not configured, and ingest rate, retention and query load decide how large a server you need.
A TimescaleDB server normally means the right image edition, generated credentials, a tuned PostgreSQL, a data volume and a published port before the first hypertable. This is the same result without assembling any of it.
Step 01
Create your xCloud account and pick TimescaleDB from the OneClick catalog. Choose a server; the install form has no fields because xCloud generates the PostgreSQL user, password and database name.
Step 02
One click. We start timescale/timescaledb 2.29.1-pg17-oss, the Apache 2 Edition image pinned by digest, mount timescaledb_data, tune it to 1 GB and 1 CPU, turn telemetry off and publish container port 5432 on a host port.
Step 03
Copy the PostgreSQL URI from the credentials and connect with psql. Create a table with a time column, convert it with create_hypertable, insert a row and query it. Restrict the port to your clients first.
TimescaleDB 2.29.1 runs here as PostgreSQL 17 plus the Apache 2 Edition extension, with the cluster on a volume you own.
TimescaleDB is a PostgreSQL extension, so you keep SQL, your existing drivers and tools, and ordinary tables beside your time-series data.
Turn a table with a time column into a hypertable with create_hypertable, the structure TimescaleDB uses for time-series and event data.
Use TimescaleDB's functions for time-based queries in plain SQL, instead of a separate query language or a second database to learn.
The image is the -oss build, so Timescale License features are excluded. Do not expect compression policies or continuous aggregates.
xCloud generates the user, password and database name, and shows a copyable PostgreSQL URI, so no default password is ever left in place.
The full PostgreSQL cluster lives on the timescaledb_data volume, and tuning is bounded to 1 GB of RAM and 1 CPU at first start.
Managed hosting for TimescaleDB, so the parts that keep it online are not your problem.
Write device readings into a hypertable keyed by time and query them with SQL, on a server you control instead of a metered metrics service.
Join time-series rows to ordinary PostgreSQL tables such as devices or customers in one SQL query, in the same database.
Point Grafana or another PostgreSQL client at the published port and chart time-bucketed queries, with the data staying on your own volume.
Dump data from a hosted instance, restore it into your own PostgreSQL 17 server and switch your applications to the new host and port.
Dedicated Cloud VPS sizes, pre-configured for TimescaleDB hosting. Pick the one that fits, and resize any time.
A TimescaleDB server for one application's metrics or sensors.
$24.99per month
More memory for larger datasets and heavier queries.
$59.99per month
TimescaleDB alongside the dashboards and services that use it.
$84.99per month
Every size is a dedicated Cloud VPS we provision, patch, monitor and restore. Billed monthly with no lock-in — delete the server and the unused balance comes back to your account. The TimescaleDB Apache 2 Edition is released under Apache-2.0.
Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy TimescaleDB on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.
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Your rate with 2–5 servers connected.
$5per server / month
The same platform, discounted at 6–10 servers.
$4per server / month
The same platform, discounted at 11+ servers.
$3per server / month
Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself.
TimescaleDB on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own your data. Stay in control.
Deploy faster using an xCloud Managed Server built with optimized stacks and high-speed SSDs.
Protect your infrastructure with a free SSL certificate and more advanced security features at no additional cost.
From Server creation to application deployment, everything can be managed from our intuitive control panel.
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Yes, and this template is TimescaleDB Docker hosting without the compose file: the timescale/timescaledb 2.29.1-pg17-oss image pinned by digest, one container, the timescaledb_data volume and port 5432 published on a host port. The official image initialises TimescaleDB in the generated database.
The template baseline is 1 GB of RAM, 1 CPU core and 5 GB of disk, with tuning bounded to 1 GB and 1 CPU. Ingest rate, retention and query concurrency set real sizing. This page sells the 6 GB tier, but tuning does not grow by itself.
Copy the PostgreSQL URI from the credentials panel, or use the host, allocated port, database, username and password shown beside it, with psql or any PostgreSQL driver. The port is the published host port, not 5432, and TLS is not configured.
A hypertable is the table structure TimescaleDB uses for time-series data. Create an ordinary table with a time column, then call create_hypertable on it, as the template's smoke test does, and insert and query rows with normal SQL.
This template uses the Apache 2 Edition, released under Apache-2.0, so the software costs nothing to run. The -oss image excludes features under the Timescale License. Your plan pays for the dedicated Cloud VPS and not for the database.
TimescaleDB is a PostgreSQL extension queried in SQL, so you can join time-series tables to relational ones and keep PostgreSQL tools. InfluxDB is a separate time-series database. This page makes no performance comparison, and this edition omits Timescale License features.
Yes: the port is bound to 0.0.0.0, so anyone with the credentials who can reach the server can connect. Restrict it to trusted client IPs with your firewall. PostgreSQL TLS is not configured, so use a VPN or an SSH tunnel across untrusted networks.
Back up the timescaledb_data volume, which holds the full PostgreSQL cluster, and take logical backups with pg_dump or pg_dumpall before upgrades. Nothing schedules the backup for you, so run it yourself and test a restore on a spare install.
Nothing upgrades itself: 2.29.1 on PostgreSQL 17 is pinned by digest. To upgrade, back up the volume and take a pg_dump, review both TimescaleDB and PostgreSQL release notes, then adopt a newer TimescaleDB template version when xCloud publishes one.
Not through the environment. POSTGRES_USER, POSTGRES_PASSWORD, POSTGRES_DB and the tuning settings only initialise an empty data directory, so editing them later does not rotate credentials. Change roles with SQL and create least-privilege roles per application.
It is TimescaleDB on a dedicated Cloud VPS under your xCloud login, a TimescaleDB cloud of your own with one container and no managed failover. It is not Tiger Cloud, and your plan can be resized as the dataset grows.
Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.
Connect your first server in minutes. No plan you have to grow into.