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Based on our record, ClickHouse seems to be a lot more popular than InfluxData. While we know about 45 links to ClickHouse, we've tracked only 2 mentions of InfluxData. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data transformations, create graphs and reports, etc. If you have all the data in a proper database. Source: over 2 years ago
I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: over 2 years ago
I would recommend to look at ClickHouse[0] which is Apache-License and is completely open-source. You can self-host it and it is one of the fastest growing OLAP database. It has good integrations with BI tools and it can be used for wide varieties of use cases. It is widely adopted[1]. I would recommend you to give it a try and validate it for your use-case. I work for ClickHouse and available for any queries or... - Source: Hacker News / 9 days ago
In the world of data management and web services, creating and managing APIs can often be a complex and time-consuming task. However, with the right tools, this process can be significantly simplified. In this article, we will explore how to create APIs for fetching data from ClickHouse tables without writing any code and manage these APIs using APISIX. ClickHouse, a fast and open-source columnar database... - Source: dev.to / about 1 month ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 5 months ago
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in... - Source: dev.to / 5 months ago
To achieve seamless real-time data ingestion, transformation, and analytics, a powerful combination to explore is RisingWave and ClickHouse. RisingWave is a PostgreSQL-compatible database specifically designed for stream processing. It excels at ingesting real-time data streams, performing diverse transformations, and enabling instant querying of results. ClickHouse® is a high-performance, column-oriented SQL... - Source: dev.to / 6 months ago
TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
MySQL - The world's most popular open source database
Prometheus - An open-source systems monitoring and alerting toolkit.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.
