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Blargian merged 1 commit into from
Dec 7, 2025
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Docs: fix typos #4912

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9 changes: 6 additions & 3 deletions docs/about-us/history.md
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Expand Up @@ -19,7 +19,10 @@ As of April 2014, Yandex.Metrica was tracking about 12 billion events (page view
## Usage in Yandex.Metrica and other Yandex services {#usage-in-yandex-metrica-and-other-yandex-services}

ClickHouse serves multiple purposes in Yandex.Metrica.
Its main task is to build reports in online mode using non-aggregated data. It uses a cluster of 374 servers, which store over 20.3 trillion rows in the database. The volume of compressed data is about 2 PB, without accounting for duplicates and replicas. The volume of uncompressed data (in TSV format) would be approximately 17 PB.
Its main task is to build reports in online mode using non-aggregated data.
It uses a cluster of 374 servers, which store over 20.3 trillion rows in the database.
The volume of compressed data is about 2 PB, without accounting for duplicates and replicas.
The volume of uncompressed data (in TSV format) would be approximately 17 PB.

ClickHouse also plays a key role in the following processes:

Expand All @@ -29,13 +32,13 @@ ClickHouse also plays a key role in the following processes:
- Running queries for debugging the Yandex.Metrica engine.
- Analyzing logs from the API and the user interface.

Nowadays, there are a multiple dozen ClickHouse installations in other Yandex services and departments: search verticals, e-commerce, advertisement, business analytics, mobile development, personal services, and others.
Nowadays, there are multiple dozen ClickHouse installations in other Yandex services and departments: search verticals, e-commerce, advertisement, business analytics, mobile development, personal services, and others.

## Aggregated and non-aggregated data {#aggregated-and-non-aggregated-data}

There is a widespread opinion that to calculate statistics effectively, you must aggregate data since this reduces the volume of data.

However data aggregation comes with a lot of limitations:
However, data aggregation comes with a lot of limitations:

- You must have a pre-defined list of required reports.
- The user can't make custom reports.
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