Seeing is believing. Ready to try it for yourself?

Set up your trial account and deploy your cluster in minutes. No card required.
 All new clients are entitled to $600 of credit on us, as well as 2 optional hours of consultation.

Get set up fast

Sign up to your trial account with $600 of free credit, no catch! Our online resources will help you set up your first ClickHouse cluster quickly.

Deploy your first cluster in AWS or GCP and choose your region for lowest latency and local compliance laws.

Customise easily

You can query the database either through the Gigapipe UI using our SQL editor, or by connecting to ClickHouse directly yourself via the HTTP interface or one of the third-party client libraries.

Create materialized views and set up data visualisations to discover the insights you’re looking for.

Cost forecasting built in

Your free credit trial period should give you several weeks to get to know the Gigapipe ecosystem. Our cost forecasting tools will mean you can know with certainty what future investment is needed as you scale.

We provide 2 hours of free consultation as standard within the trial period to help you get the best out of Gigapipe and ensure you’ve made the most of it.

What our clients say

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Frequently Asked Questions

Gigapipe is a fully managed Big Data stack built around a core managed ClickHouse (database) service. Gigapipe will rapidly deploy your ClickHouse cluster in your selected region and you can then automatically connect additional services like Kafka, Gateway (our in-house ingestion engine), Grafana and many more.

You decide exactly which region your ClickHouse cluster is deployed in and your data will never leave that region unless specified. Gigapipe is deployable in all regions available on AWS or GCP. For a full list click here.

Gigapipe’s costs are directly relational to the cost of the machines deployed. This means you can forecast down to the cent the cost of your Big Data infrastructure today, and exactly what your future costs will be. For a quote please use the pricing calculator on the website.

You can connect in a variety of ways. Gigapipe has an inbuilt Kafka connector to directly link your Kafka instance to your cluster to start ingesting data. You can also use Gateway, Gigapipe’s in-house ingestion engine to help batch up data to ingest it into ClickHouse efficiently. Or push your data directly to the ClickHouse endpoint available in the UI. More information here.

You can do both! The Gigapipe UI is designed to make creating, scaling and managing your cluster as easy as possible however you can also connect directly to Gigapipe’s API using one of the SDKs. Currently only the Python SDK is published, however we are working on more!

Of course. You can use any of the ingestion methods or if you have your data stored in Amazon S3 we have an inbuilt importer which will connect directly to the bucket and import straight into ClickHouse. Or if you’re already using ClickHouse you can transfer all your data directly from ClickHouse to ClickHouse.

Yes, Gigapipe has automated backups you can enable at any time. You can decide how frequently your data is backed up and when.

Gigapipe offers many abstraction layers for things like materialized views, connecting to Kafka, hot/cold storage policies and scaling on top of ClickHouse itself so you don’t need to know specifically how to use them in ClickHouse. However for more information on using ClickHouse itself we recommend checking out the ClickHouse documentation.

Absolutely! Gigapipe enables single click scaling both horizontally and vertically. You can add additional shards/replicas through the UI and Gigapipe will automatically scale your cluster for you. Or if you need to scale vertically (more powerful machines) you can change the machine type of your cluster whenever you need to.

We’d love you to! Gigapipe was built out of necessity, and that goes into every feature we design. We always welcome new requests and ideas to make Gigapipe as user friendly and helpful as possible.

Get Started

Seeing is believing. Ready to try it for yourself?