VictoriaMetrics VS Apache Cassandra

VictoriaMetrics Reviews

Apache Cassandra Reviews

VictoriaMetrics mentions (17)

• All you need is Wide Events, not "Metrics, Logs and Traces"

  Https://victoriametrics.com/ would definitely recommend anyone having performance issues with Prometheus to give VictoriaMetrics a try. - Source: Hacker News / about 13 hours ago

• Top 11 Grafana Alternatives in 2023

  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 / 4 months ago

• InfluxDB CTO: Why We Moved from Go to Rust

  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 / 5 months ago

• Show HN: Homelab Monitoring Setup with Grafana

  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 / 9 months ago

• Sizing Thanos for large Prometheus installation

  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: 9 months ago

Apache Cassandra mentions (38)

• Asynchronous driver written in Rust for ScyllaDB, Cassandra and AWS Keyspaces.

  Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 5 months ago

• How to Choose the Right Document-Oriented NoSQL Database for Your Application

  NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 6 months ago

• NoSQL Databases vs Graph Databases: Which one should you use?

  To use NoSQL databases with code, you first need to choose a NoSQL database that suits your requirements. Some popular examples of NoSQL databases are MongoDB, Cassandra, Redis, and DynamoDB. Each of these databases has its own set of APIs and drivers that can be used to interact with them. Here, I'll use MongoDB as an example and explain how to perform CRUD operations using Python and its PyMongo package. - Source: dev.to / 11 months ago

• How Change Data Capture (CDC) Works with Streaming Database

  Change Data Capture is a technique used to capture and propagate changes made to a database such as MySQL, Microsoft SQL, Oracle, PostgreSQL, MongoDB, or Cassandra. CDC works by continuously monitoring the database for any changes made to the data. Multiple types of change data capture patterns can be used for data processing from a database. These include log-based CDC, trigger-based CDC, CDC based on timestamps,... - Source: dev.to / 11 months ago

• An Intro to Data Compression

  The popular NoSQL database Cassandra utilizes a compression algorithm called LZ4 to reduce the footprint of data at rest. LZ4 is characterized by very fast compression speed at the cost of a higher compression ratio. This is a design choice that allows Cassandra to maintain high write throughput while also benefiting from compression in some capacity. - Source: dev.to / about 1 year ago