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Based on our record, ClickHouse seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
At one point, the company decided to create its own in-house analytics tool based on Clickhouse. An API for applications was created for this purpose on the backend side. All my team had to do was send events. In order not to interfere with the work of the main functionality and avoid losing events if the user did not have a network, it was necessary to learn how to cache, group batches of events, and send them... - Source: Reddit / about 21 hours ago
Small suggestion, please consider adding support for Clickhouse. - Source: Reddit / 3 months ago
As many have already mentioned this is more of data engineering than Data Science one. Try to build ETL pipelines for storing the data to a data lake or data warehouse(more organised). Make sure the pipelines are reliable and fall back mechanism to ensure consistency. Check out open source DBs https://clickhouse.tech (open-source OLAP database management system) or you can get started with Postgres as well.... - Source: Reddit / 3 months ago
If you want to insert data into ClickHouse using Spring Data JDBC, this post might be helpful. Disclaimer — this is a rare use case for ClickHouse. - Source: Reddit / 3 months ago
It uses goflow as your collecting agent, Kafka to buffer and store the data, and ClickHouse to provide the analysis engine, and Grafana for visualization. - Source: Reddit / 4 months ago
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