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  1. Stackups
  2. DevOps
  3. Error Tracking
  4. Mobile Error Monitoring
  5. Crashlytics vs Logstash

Crashlytics vs Logstash

OverviewComparisonAlternatives

Overview

Crashlytics
Crashlytics
Stacks1.0K
Followers614
Votes340
Logstash
Logstash
Stacks12.3K
Followers8.8K
Votes103
GitHub Stars14.7K
Forks3.5K

Crashlytics vs Logstash: What are the differences?

What is Crashlytics? The world's most powerful, yet lightest weight crash reporting solution. Free for everybody. Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful! Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix.

What is Logstash? Collect, Parse, & Enrich Data. 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.

Crashlytics and Logstash are primarily classified as "Mobile Error Monitoring" and "Log Management" tools respectively.

Some of the features offered by Crashlytics are:

  • Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful!
  • Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix.
  • Now you'll get precise information on the performance of the devices that your apps run on. We'll let you know if the crash only happens on a specific model or generation of a device. We'll even tell you other information, like whether your app only crashes in landscape mode, or whether the proximity sensor is always on.

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

  • Centralize data processing of all types
  • Normalize varying schema and formats
  • Quickly extend to custom log formats

"Crash tracking" is the primary reason why developers consider Crashlytics over the competitors, whereas "Free" was stated as the key factor in picking Logstash.

Logstash is an open source tool with 10.3K GitHub stars and 2.76K GitHub forks. Here's a link to Logstash's open source repository on GitHub.

According to the StackShare community, Logstash has a broader approval, being mentioned in 551 company stacks & 270 developers stacks; compared to Crashlytics, which is listed in 350 company stacks and 68 developer stacks.

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Detailed Comparison

Crashlytics
Crashlytics
Logstash
Logstash

Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful! Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix.

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.

Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful!;Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix.;Now you'll get precise information on the performance of the devices that your apps run on. We'll let you know if the crash only happens on a specific model or generation of a device. We'll even tell you other information, like whether your app only crashes in landscape mode, or whether the proximity sensor is always on.;Through our smart reports, we'll provide key insights into your data so you can spend more time fixing and less time triaging.;Going one layer deeper, Crashlytics examines the operating system that your app is running on. We answer questions like: is it crashing only on jailbroken devices? Is this a memory issue? Does this only affect a specific version of iOS? Through our interactive reports, you'll know instantly.;Our cutting edge architecture can handle all the traffic you'll throw at us. For example, suppose a buggy update is released and all your users experience issues across all of their devices. Our system processes every crash in a record-breaking 18 milliseconds so you can take action — immediately.;Each crash we receive gets analyzed by our banks of servers. While pasting a stack trace is the simplest way to get it to you, we wanted to do better. We analyze the entire stack trace, for every crash, and apply carefully-tuned algorithms. Some lines are de-emphasized while others are highlighted, so we can take you straight to the threads and stack-frames that matter.;We've built a layer of intelligent post-processing to alert you to new issues in real-time. We've also built the channels to get that intelligence to you. Whether you're on the Crashlytics dashboard on your iPad, coding on your MacBook with Crashlytics for Mac, watching your third-party issue tracker or even your email inbox, you'll get notified when something important happens.;You're always in control — all notifications are customizable to minimize noise and maximize action.;The Crashlytics SDK uses a multi-step symbolication process to provide progressively higher levels of detail. We start with on-device symbolication. Once a crash report makes it into our system, stack frames are then re-processed against your application's dSYM on our servers. This two-step symbolication process, coupled with our advanced aggregation algorithms, provides the highest information fidelity available.;On average, Crashlytics adds only 40 KB — or the size of a single image — to the weight of your application.;We don't require linking against any additional frameworks or libraries.;When initialized at start-up, Crashlytics performs only the minimal amount of required work and defers the rest until a few seconds after app startup completes. This delay is configurable — we want your app to launch as quickly as possible;Our memory footprint has been carefully tuned to minimize overhead. We guarantee Crashlytics will not impact gameplay, video processing, or any memory-intensive operations you perform.;We care tremendously about the stability of your app and the experience for your users. If for any reason our SDK fails, its defensive design will ensure it has no negative impact.;We use run-time feature detection to ensure compatibility with iOS 4 to iOS 6 and beyond.
Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
Statistics
GitHub Stars
-
GitHub Stars
14.7K
GitHub Forks
-
GitHub Forks
3.5K
Stacks
1.0K
Stacks
12.3K
Followers
614
Followers
8.8K
Votes
340
Votes
103
Pros & Cons
Pros
  • 78
    Crash tracking
  • 56
    Mobile exception tracking
  • 53
    Free
  • 37
    Easy deployment
  • 25
    Ios
Pros
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Great to meet GDPR goals
Cons
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
Integrations
Jira
Jira
Pivotal Tracker
Pivotal Tracker
PagerDuty
PagerDuty
Asana
Asana
HipChat
HipChat
Campfire
Campfire
Trello
Trello
Bitbucket
Bitbucket
Hall
Hall
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats

What are some alternatives to Crashlytics, Logstash?

Instabug

Instabug

Instabug is a platform for Real-Time Contextual Insights that completely takes care of your bug reporting and user feedback process; to accelerate your workflow and allow you to release with confidence.

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

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.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

ELK

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.

Sumo Logic

Sumo Logic

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

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