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  1. Stackups
  2. DevOps
  3. Error Tracking
  4. Exception Monitoring
  5. Rollbar vs Splunk

Rollbar vs Splunk

OverviewComparisonAlternatives

Overview

Rollbar
Rollbar
Stacks1.7K
Followers1.1K
Votes531
Splunk
Splunk
Stacks772
Followers1.0K
Votes20

Rollbar vs Splunk: What are the differences?

Introduction:

In this article, we will discuss the key differences between Rollbar and Splunk. Both Rollbar and Splunk are popular tools used for logging, monitoring, and analyzing software applications. However, they have some distinct features and capabilities that set them apart.

  1. Scalability: Rollbar is designed to be highly scalable, allowing it to handle a large volume of data and handle spikes in traffic. It can scale horizontally by adding more resources to bear the load. On the other hand, Splunk's architecture is vertically scalable, which means it relies on adding more resources to a single server in order to handle increased workload.

  2. Pricing Model: Rollbar offers flexible pricing plans based on the number of events or errors logged, making it suitable for small to medium-sized businesses. Splunk, on the other hand, follows a data ingestion-based pricing model, where the cost is calculated based on the volume of data indexed. This makes Splunk more suitable for enterprise-level organizations with higher data volumes.

  3. Alerting and Notifications: Rollbar provides real-time alerting through various channels like email, Slack, and PagerDuty. It allows users to configure custom alert conditions based on specific error patterns. Splunk also offers alerting and notification capabilities but provides more advanced features like correlation searches and machine learning-based anomaly detection.

  4. User-Friendliness: Rollbar aims to provide a user-friendly experience with a simple and intuitive interface. It focuses on ease of use and quick setup, making it accessible even to non-technical users. Splunk, on the other hand, has a steeper learning curve and requires more technical expertise to effectively utilize its full capabilities.

  5. Integration and Ecosystem: Rollbar integrates seamlessly with popular software development tools like JIRA, GitHub, and Slack, enabling smooth collaboration between developers, operations, and support teams. Splunk also offers a wide range of integration options and has a rich ecosystem of apps and add-ons to extend its functionalities.

  6. Log Retention and Storage: Rollbar has a limited log retention period, typically up to 180 days depending on the pricing plan. It provides sufficient storage for error reports and related metadata. Splunk, on the other hand, offers long-term log retention and storage capabilities, allowing organizations to retain and analyze logs for compliance, auditing, and forensic purposes.

In summary, Rollbar is a scalable and user-friendly tool with flexible pricing, while Splunk offers advanced features, scalability, and extensive log retention capabilities suitable for enterprise-level organizations.

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Detailed Comparison

Rollbar
Rollbar
Splunk
Splunk

Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate ra

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Real-time visibility; Get real-time alerts on errors as they happen in an easy to read dashboard; No more noise or missed alarms with automation-grade grouping, powered by machine learning. Proactive triaging; Take proactive actions on new bugs and regressions with AI-assisted workflows; Get all the diagnostic and contextual data needed to triage errors. Root cause analysis; Get stack trace and all the data you need to debug, including request params, local var values, browsers, IPs, and more; Use Telemetry feature to retrace browser events leading up to an error. Strong security; Protect your data with encryption at rest. Broad platform support and Seamless integrations.
Predict and prevent problems with one unified monitoring experience; Streamline your entire security stack with Splunk as the nerve center; Detect, investigate and diagnose problems easily with end-to-end observability
Statistics
Stacks
1.7K
Stacks
772
Followers
1.1K
Followers
1.0K
Votes
531
Votes
20
Pros & Cons
Pros
  • 74
    Consolidates similar errors by impact
  • 64
    Centralize error management
  • 63
    Slack integration
  • 58
    Github integration
  • 47
    Usage based pricing
Pros
  • 3
    API for searching logs, running reports
  • 3
    Alert system based on custom query results
  • 2
    Dashboarding on any log contents
  • 2
    Rich GUI for searching live logs
  • 2
    Query engine supports joining, aggregation, stats, etc
Cons
  • 1
    Splunk query language rich so lots to learn
Integrations
Python
Python
Mailgun
Mailgun
Jira
Jira
Slack
Slack
Java
Java
PHP
PHP
Segment
Segment
JavaScript
JavaScript
GitHub
GitHub
Golang
Golang
No integrations available

What are some alternatives to Rollbar, Splunk?

Sentry

Sentry

Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

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.

Bugsnag

Bugsnag

Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.

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.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

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.

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Opbeat

Opbeat

Opbeat is application monitoring for developers, and gives you performance metrics, error logging, release tracking and workflow in one smart product.

Airbrake

Airbrake

Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.

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.

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