Software Alternatives & Reviews

Gravwell VS Beats

Compare Gravwell VS Beats and see what are their differences

Gravwell logo Gravwell

Gravwell is an all-you-can-ingest data fusion analytics platform that enables complete context and root cause analytics for security and business data.

Beats logo Beats

Beats is the platform for single-purpose data shippers that is installed as lightweight agents and send data to machines to Logstash or Elasticsearch.
  • Gravwell Landing page
    Landing page //
    2023-03-11

Gravwell was founded to bring the benefits of usable machine data to all customers: large or small, text or binary, security or operational. We enable security analytics that go well beyond log data into industrial processes, vehicle fleets, IT infrastructure, or everything combined. Need to hunt down a suspected access breach? Gravwell can correlate build access logs and run facial recognition machine learning against camera data to isolate multiple subjects entering a facility with a single badge-in. We'll help you find the needle in your haystack.

We exist to provide analytics capabilities to people who need more than just text log searching and need it sooner rather than later at a price they can afford. Gravwell is a full-stack analytics platform built to handle huge amounts of unstructured data with a pricing model that encourages, rather than punishes, keeping all of that valuable data for later analysis. Data is gold; don't throw it away to cut costs.

  • Beats Landing page
    Landing page //
    2023-10-21

Gravwell features and specs

  • Unlimited data ingestion: Yes
  • Unlimited data sources: Yes
  • Unlimited data retention: Yes
  • Unlimited User Seats: Yes
  • Live Dashboards: Yes
  • Fine grain multi-tenancy access controls: Yes
  • Unlimited search count: Yes
  • Binary data support: Yes

Beats features and specs

No features have been listed yet.

Gravwell videos

Gravwell - Shut Up & Sit Down Review

More videos:

  • Review - Gravwell Review - with Tom Vasel
  • Review - Gravwell Review - with Ryan Metzler

Beats videos

Beats Solo Pro: Return to Excellence!

More videos:

  • Review - The Beats Solo Pro Are The Best Beats Yet
  • Review - Beats Studio 3 Wireless "Real Review"

Category Popularity

0-100% (relative to Gravwell and Beats)
Monitoring Tools
32 32%
68% 68
Business & Commerce
51 51%
49% 49
Security & Privacy
0 0%
100% 100
Log Management
41 41%
59% 59

User comments

Share your experience with using Gravwell and Beats. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Gravwell seems to be more popular. It has been mentiond 1 time since March 2021. 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.

Gravwell mentions (1)

  • Ask HN: Who is hiring? (September 2021)
    Gravwell | Go Backend Engineer; Resident Engineer & Systems Support Specialist | Remote (US) | Full-Time | https://gravwell.io Gravwell is a data analytics company with a focus on high-speed analysis of diverse data sources including binary (e.g. PCAP). Our people have extensive backgrounds in penetration testing, reverse engineering, analytics, incident response, and large scale virtualization. Our platform is... - Source: Hacker News / over 2 years ago

Beats mentions (0)

We have not tracked any mentions of Beats yet. Tracking of Beats recommendations started around Mar 2021.

What are some alternatives?

When comparing Gravwell and Beats, you can also consider the following products

logstash - logstash is a tool for managing events and logs.

Wazuh - Open Source Host and Endpoint Security

Fluentd - Fluentd is a cross platform open source data collection solution originally developed at Treasure Data.

Fortinet FortiAnalyzer - Fortinet FortiAnalyzer is a powerful product for Security Fabric Analytics and Automation.

Check Point - Check Point Infinity architecture delivers consolidated Gen V cyber security across networks, cloud, and mobile environments.

Riemann - Container Monitoring