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Hadoop might be a bit more popular than VictoriaMetrics. We know about 17 links to it since March 2021 and only 17 links to VictoriaMetrics. 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.
Https://victoriametrics.com/ would definitely recommend anyone having performance issues with Prometheus to give VictoriaMetrics a try. - Source: Hacker News / 4 months ago
VictoriaMetrics is primarily a time-series database designed for efficiently storing and querying time-series data. It is often used as a back-end data store for time-series data generated by monitoring systems like Prometheus. VictoriaMetrics excels at handling large volumes of time-series data, offering efficient storage and query capabilities. - Source: dev.to / 9 months ago
Not sure I follow since there are very competitive tools written in Go such as https://victoriametrics.com for an example in this space. - Source: Hacker News / 9 months ago
I've found VictoriaMetrics all-in-one binary to be perfect size for home at the very least for metrics gathering. Supports Prometheus querying and few other formats for ingesting so any knowledge bout "how to get data into prometheus" applies pretty much 1:1 + their own vmagent is pretty advanced. Not related to company in any way, just a happy user. https://victoriametrics.com/. - Source: Hacker News / about 1 year ago
I am not part of the company in any way but please take a look at https://victoriametrics.com/. They are not very popular in the US but the product is easier to manage and more scalable than any other open source Prometheus replacements. High chances you wont even need scale-out design for your load. Source: about 1 year ago
In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 19 days ago
Data analysis software is also widely used in the telecommunications industry to manage network performance, detect fraud, and analyze customer data. Telecommunications companies can use data analysis software to analyze network data in real-time, allowing them to identify and address issues quickly. In addition, data analysis software can help telecommunications companies identify new revenue streams and improve... - Source: dev.to / about 1 month ago
Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
Prometheus - An open-source systems monitoring and alerting toolkit.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
InfluxData - Scalable datastore for metrics, events, and real-time analytics.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.