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Gravwell

4
8
+ 1
11
Scalyr

40
58
+ 1
12
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Scalyr vs Gravwell: What are the differences?

What is Scalyr? Cloud-based log aggregation, server monitoring, and real-time analysis tool. Scalyr is log search and management so fast you actually use it. Custom dashboards, graphs, alerts and log parsers allow you to monitor what's important to you. We're proud to serve customers like Business Insider, Opendoor, and Grab.

What is Gravwell? Ingest everything, compromise nothing. Data analytics at scale with predictive pricing. It is the most flexible full-stack analytics platform in the world. We excel at fusing disparate data sources such as firewall logs, end point event logs, network traffic, OT IDS logs, OT process data, threat feed data, etc. to create a central source of knowledge. Created in the IoT age we know modern data insights demand unlimited ingest and analysis capability for cybersecurity, IoT, business analytics, and more. We support a wide range of customers, from energy production, energy delivery, government, finance, and insurance to health and beauty products.

Scalyr and Gravwell can be categorized as "Log Management" tools.

Some of the features offered by Scalyr are:

  • Remote log monitoring
  • log aggregation
  • real-time reporting

On the other hand, Gravwell provides the following key features:

  • Ability for deployment in cloud, on-premises, or in an isolated on-premises network lacking outside network connectivity
  • Capable of collecting disparate unstructured time-series data sources into a queryable data lake
  • Enable data scientists to create custom analysis code/tools to be executed as part of a search pipeline or query system
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Pros of Gravwell
Pros of Scalyr
  • 1
    Great customer support
  • 1
    Easy to use GUI
  • 1
    Dashboards
  • 1
    Ready-to-install kits
  • 1
    Rapid deployment
  • 1
    Multi-tenancy
  • 1
    No storage-based pricing
  • 1
    Indexing on writes
  • 1
    Highly scalable and performant
  • 1
    Ingest native/raw data and query later
  • 1
    Query supports joins on binary data
  • 7
    Speed of queries
  • 4
    Blazing fast logs search
  • 1
    Simple usage

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Cons of Gravwell
Cons of Scalyr
  • 1
    Query language is a lot to learn
    Be the first to leave a con

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    What is Gravwell?

    It is the most flexible full-stack analytics platform in the world. We excel at fusing disparate data sources such as firewall logs, end point event logs, network traffic, OT IDS logs, OT process data, threat feed data, etc. to create a central source of knowledge. Created in the IoT age we know modern data insights demand unlimited ingest and analysis capability for cybersecurity, IoT, business analytics, and more. We support a wide range of customers, from energy production, energy delivery, government, finance, and insurance to health and beauty products.

    What is Scalyr?

    Scalyr is log search and management so fast you actually use it. Custom dashboards, graphs, alerts and log parsers allow you to monitor what's important to you. We're proud to serve customers like Business Insider, Opendoor, and Grab.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Gravwell?
    What companies use Scalyr?
      No companies found
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      What tools integrate with Gravwell?
      What tools integrate with Scalyr?
        No integrations found

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        What are some alternatives to Gravwell and Scalyr?
        Splunk
        It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
        Logstash
        Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
        SLF4J
        It is a simple Logging Facade for Java (SLF4J) serves as a simple facade or abstraction for various logging frameworks allowing the end user to plug in the desired logging framework at deployment time.
        Logback
        It is intended as a successor to the popular log4j project. It is divided into three modules, logback-core, logback-classic and logback-access. The logback-core module lays the groundwork for the other two modules, logback-classic natively implements the SLF4J API so that you can readily switch back and forth between logback and other logging frameworks and logback-access module integrates with Servlet containers, such as Tomcat and Jetty, to provide HTTP-access log functionality.
        ELK
        It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
        See all alternatives