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CHAOSSEARCH vs Loggly

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CHAOSSEARCH
7
17
+ 1
10
Loggly
274
304
+ 1
168
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Loggly vs CHAOSSEARCH: What are the differences?

Developers describe Loggly as "Log Management, Simplified in the Cloud". The world's most popular cloud-based log management service delivers application intelligence. On the other hand, CHAOSSEARCH is detailed as "A cloud-native search analytics platform on object storage". It is a cloud-native search analytics platform on object storage. It uniquely decouples storage from compute (zero local storage) and gives you an entirely new way to store, index, and execute your queries at any scale - from terabytes to petabytes and beyond!

We enable you to streamline and automate your data management process within your own S3 account — no data movement, transformation, or schema definition.

Loggly and CHAOSSEARCH can be categorized as "Log Management" tools.

Some of the features offered by Loggly are:

  • See what your application is doing during development
  • Catch exceptions and track execution flow
  • Graph and report on the number of errors generated

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

  • Amazon S3 and Elasticsearch API support
  • Fully integrated Kibana visualization with enhancements
  • Backed by Amazon S3 — never move your data
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Pros of CHAOSSEARCH
Pros of Loggly
  • 1
    Schema on read
  • 1
    Great service
  • 1
    Centralized data
  • 1
    Reliability
  • 1
    Scalability
  • 1
    Kibana front end
  • 1
    Search s3
  • 1
    Compressed index size
  • 1
    Lower cost then elasticsearch
  • 1
    Managed service
  • 37
    Centralized log management
  • 25
    Easy to setup
  • 21
    Great filtering
  • 16
    Live logging
  • 15
    Json log support
  • 10
    Log Management
  • 10
    Alerting
  • 7
    Great Dashboards
  • 7
    Love the product
  • 4
    Heroku Add-on
  • 2
    Easy to setup and use
  • 2
    Easy setup
  • 2
    No alerts in free plan
  • 2
    Great UI
  • 2
    Good parsing
  • 2
    Powerful
  • 2
    Fast search
  • 2
    Backup to S3

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Cons of CHAOSSEARCH
Cons of Loggly
    Be the first to leave a con
    • 3
      Pricey after free plan

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    No Stats

    What is CHAOSSEARCH?

    ChaosSearch's Chaos LakeDB helps organizations make better use of their log and event data. The cloud data platform enables users to search, analyze, and visualize application telemetry data stored in Amazon S3 or Google Cloud Platform.

    What is Loggly?

    It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

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

    What companies use CHAOSSEARCH?
    What companies use Loggly?
      No companies found
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      What tools integrate with CHAOSSEARCH?
      What tools integrate with Loggly?

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      Blog Posts

      The HyperDev Tech Stack: Powering Over 1M Containers
      Aug 5 2016 at 4:07AM

      Glitch

      JavaScriptGitHubGit+33
      20
      2210
      What are some alternatives to CHAOSSEARCH and Loggly?
      Elasticsearch
      Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
      Splunk
      It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
      New Relic
      The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
      Kibana
      Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
      Grafana
      Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
      See all alternatives

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