48.3kWe needed a solution that could scale, but also provide end-user facing analytics capabilities with low latency and high throughput. Read blog
Migrate from
BigQuery to ClickHouse
BigQuery handles ad-hoc queries and smaller data volumes effectively, but scaling turns cost and performance management into a significant challenge. By migrating to ClickHouse from BigQuery, you can expect:
95%
Faster querying
speeds
60%
Less storage space
required
1300+
Data functions for math, geo,
ML, time series, and more
Up to 100x
More cost effective
solution
If you are considering a migration from BigQuery to ClickHouse on AWS we are providing a limited offer whereby you can benefit from:
- Free migration services
- Discount on your ClickHouse Cloud subscriptions
- Promotional Credits on AWS
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Why developers choose ClickHouse
BigQuery’s query latency
Achieving sub-second query response times and supporting highly concurrent workloads can be painful in BigQuery, if not impossible.
ClickHouse is purpose-built for real-time, large-volume, data analytics. It’s the fastest and most resource-efficient database for analytics and is designed to serve queries with high concurrency without enforcing limits on the number of parallel queries.
Whether you’re aggregating large volumes of data in real-time, interactively slicing and dicing on the fly, or powering customer-facing dashboards, ClickHouse ensures blazing speed.
BigQuery’s high cost
BigQuery’s pricing model can lead companies to artificially constrain usage or access to data, leading to lower ROI.
ClickHouse is designed to manage huge volumes of data efficiently. Its efficient management of resources helps to maximize its cost-effectiveness. ClickHouse was designed from the ground up for best-in-class resource utilization.
For example, Prefect reduced costs by 33% moving from BigQuery to ClickHouse, and Juspay reduced its operating expenses by 10x after migrating its analytics workloads from BigQuery to ClickHouse.
[BigQuery] discourages data usage. Instead of encouraging analysts to query the database in any and all ways they can imagine you’ll end up worrying about needing to limit them and come up with processes for controlling the volume of data being used.
We simply don’t want the hassle of trying to figure out in advance of how many BigQuery slots to purchase - what a headache! Read blog
When not to migrate from BigQuery to ClickHouse Cloud yet?
If you need multi-statement transactions or extensive joins over highly normalized tables.
Both are on our roadmap for 2025.
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