hayabusa VS vector

Compare hayabusa vs vector and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
hayabusa vector
7 97
1,982 16,672
3.7% 2.5%
9.7 9.9
about 3 hours ago 2 days ago
Rust Rust
GNU General Public License v3.0 only Mozilla Public License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of vector. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-19.
  • What is a low/reasonable cost solution for service log storage and querying?
    1 project | news.ycombinator.com | 5 May 2024
    I am thinking about using https://vector.dev/ but would also love opinions on the best deal for lower or reasonable cost storage/querying of logs. Thanks!
  • Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
    2 projects | dev.to | 19 Apr 2024
    job "vector" { datacenters = ["dc1"] # system job, runs on all nodes type = "system" group "vector" { count = 1 network { port "api" { to = 8686 } } ephemeral_disk { size = 500 sticky = true } task "vector" { driver = "docker" config { image = "timberio/vector:0.30.0-debian" ports = ["api"] volumes = ["/var/run/docker.sock:/var/run/docker.sock"] } env { VECTOR_CONFIG = "local/vector.toml" VECTOR_REQUIRE_HEALTHY = "false" } resources { cpu = 100 # 100 MHz memory = 100 # 100MB } # template with Vector's configuration template { destination = "local/vector.toml" change_mode = "signal" change_signal = "SIGHUP" # overriding the delimiters to [[ ]] to avoid conflicts with Vector's native templating, which also uses {{ }} left_delimiter = "[[" right_delimiter = "]]" data=<
  • FLaNK AI Weekly 18 March 2024
    39 projects | dev.to | 18 Mar 2024
  • Vector: A high-performance observability data pipeline
    5 projects | news.ycombinator.com | 17 Mar 2024
  • Hacks to reduce cloud spend
    1 project | /r/sre | 6 Dec 2023
    we are doing something similar with OTEL but we are looking at using https://vector.dev/
  • About reading logs
    2 projects | /r/sysadmin | 28 Sep 2023
    We don't pull logs, we forward logs to a centralized logging service.
  • Self hosted log paraer
    4 projects | /r/selfhosted | 20 Jun 2023
    opensearch - amazon fork of Elasticsearch https://opensearch.org/docs/latestif you do this an have distributed log sources you'd use logstash for, bin off logstash and use vector (https://vector.dev/) its better out of the box for SaaS stuff.
  • creating a centralize syslog server with elastic search
    1 project | /r/elasticsearch | 14 Jun 2023
    I have done something similar in the past: you can send the logs through a centralized syslog servers (I suggest syslog-ng) and from there ingest into ELK. For parsing I am advice to use something like Vector, is a lot more faster than logstash. When you have your logs ingested correctly, you can create your own dashboard in Kibana. If this fit your requirements, no need to install nginx (unless you want to use as reverse proxy for Kibana), php and mysql.
  • Show HN: Homelab Monitoring Setup with Grafana
    6 projects | news.ycombinator.com | 7 Jun 2023
    I think there's nothing currently that combines both logging and metrics into one easy package and visualizes it, but it's also something I would love to have.

    Vector[1] would work as the agent, being able to collect both logs and metrics. But the issue would then be storing it. I'm assuming the Elastic Stack might now be able to do both, but it's just to heavy to deal with in a small setup.

    A couple of months ago I took a brief look at that when setting up logging for my own homelab (https://pv.wtf/posts/logging-and-the-homelab). Mostly looking at the memory usage to fit it on my synology. Quickwit[2] and Log-Store[3] both come with built in web interfaces that reduce the need for grafana, but neither of them do metrics.

    - [1] https://vector.dev

  • Retaining Logs generated by service running in pod.
    1 project | /r/kubernetes | 31 May 2023
    Log to stdout/stderr and collect your logs with a tool like vector (vector.dev) and send it to something like Grafana Loki.

What are some alternatives?

When comparing hayabusa and vector you can also consider the following projects:

WELA - WELA (Windows Event Log Analyzer): The Swiss Army knife for Windows Event Logs! ใ‚‘็พ…๏ผˆใ‚ฆใ‚งใƒฉ๏ผ‰

graylog - Free and open log management

MemLabs - Educational, CTF-styled labs for individuals interested in Memory Forensics

Fluentd - Fluentd: Unified Logging Layer (project under CNCF)

hayabusa-rules - Curated Windows event log Sigma rules used in Hayabusa and Velociraptor.

agent - Vendor-neutral programmable observability pipelines.

chainsaw - Rapidly Search and Hunt through Windows Forensic Artefacts

syslog-ng - syslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, queueing, SQL & NoSQL.

sigma-essentials - Everything you need for the #grindset

OpenSearch - ๐Ÿ”Ž Open source distributed and RESTful search engine.

krapslog-rs - Visualize logs in your terminal: โ–‚โ–ƒโ–ƒโ–ƒโ–ƒโ–ƒโ–…โ–…โ–…โ–…โ–ƒโ–ƒโ–…โ–…โ–†โ–‡

tracing - Application level tracing for Rust.