Full-stack Web Developer at a tech services company with 51-200 employees
Real User
Top 5
2024-07-12T11:58:32Z
Jul 12, 2024
Our company had about nine platforms, each with its own database and data. We had to gather all these data in one database and just one table. We used Apache Superset to integrate this database with the business intelligence tool. We had too many choices or options initially for the database engine. We initially tested a database, and its performance was good. When we tried ClickHouse, we switched to it immediately because the performance was really amazing. When we had a huge amount of data, about five or six gigabytes in just one table, and we used ClickHouse to deduplicate some duplicated entries or records.
We use the solution not just as an analytics database but also as a data warehouse. A lot of our internal services communicate with the tool. Our analytics and ML teams also use the solution. It's the hub of our company.
Software Engineer at Activant Solutions Pvt Ltd, Jaipur
Real User
Top 20
2024-06-13T15:50:00Z
Jun 13, 2024
We use it to store live data and for tracking and monitoring every action on a PC, like which websites are opened, through Kubernetes and Google Chrome. Data is sent every second from ActiveMQ, and ClickHouse can insert millions of data points per millisecond.
Software Development Engineer II at a financial services firm with 10,001+ employees
Real User
Top 20
2024-05-21T14:46:24Z
May 21, 2024
Our use cases are for data analytics, both real-time and batch, and also for logging Clickstream data. We use it in our organization. We have it in our production environment.
ClickHouse is the fastest and most resource efficient open-source database for real-time apps and analytics.
ClickHouse supports all the data sources you need to power your apps and use cases that require exceptional performance.
ClickHouse uses all available system resources to their full potential to process each analytical query as fast as possible.
ClickHouse runs on every environment, whether it’s on your machine or in the cloud.
Our company had about nine platforms, each with its own database and data. We had to gather all these data in one database and just one table. We used Apache Superset to integrate this database with the business intelligence tool. We had too many choices or options initially for the database engine. We initially tested a database, and its performance was good. When we tried ClickHouse, we switched to it immediately because the performance was really amazing. When we had a huge amount of data, about five or six gigabytes in just one table, and we used ClickHouse to deduplicate some duplicated entries or records.
We use ClickHouse for a passive monitoring system in telecommunications. It is used to record primary data from the mobile network technology.
We use the solution not just as an analytics database but also as a data warehouse. A lot of our internal services communicate with the tool. Our analytics and ML teams also use the solution. It's the hub of our company.
We use it to store live data and for tracking and monitoring every action on a PC, like which websites are opened, through Kubernetes and Google Chrome. Data is sent every second from ActiveMQ, and ClickHouse can insert millions of data points per millisecond.
Our use cases are for data analytics, both real-time and batch, and also for logging Clickstream data. We use it in our organization. We have it in our production environment.