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

OverOps vs Splunk

OverviewComparisonAlternatives

Overview

OverOps
OverOps
Stacks25
Followers43
Votes27
Splunk
Splunk
Stacks772
Followers1.0K
Votes20

OverOps vs Splunk: What are the differences?

What is OverOps? Know When and Why Applications Break. OverOps maps the DNA of code as it’s executing in pre-prod and production to Identify all issues and anomalies, and deliver True Root Cause to the right person, without relying on logs.

What is Splunk? Search, monitor, analyze and visualize machine data. Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.

OverOps and Splunk are primarily classified as "Exception Monitoring" and "Log Management" tools respectively.

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Detailed Comparison

OverOps
OverOps
Splunk
Splunk

OverOps maps the DNA of code as it’s executing in pre-prod and production to Identify all issues and anomalies, and deliver True Root Cause to the right person, without relying on logs.

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

Deep code visibility;Real-Time Visibility;Jenkins Quality Gates;Trends;True Root Cause;Code Quality Gates;Production Monitoring;Error Resolution
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
25
Stacks
772
Followers
43
Followers
1.0K
Votes
27
Votes
20
Pros & Cons
Pros
  • 8
    In-depth error analysis with variable values in product
  • 5
    All the info you need to solve bugs without logs
  • 4
    Jira & Github integration
  • 4
    OverOps reveals the unknown
  • 3
    Scala support
Pros
  • 3
    Alert system based on custom query results
  • 3
    API for searching logs, running reports
  • 2
    Splunk language supports string, date manip, math, etc
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 2
    Dashboarding on any log contents
Cons
  • 1
    Splunk query language rich so lots to learn
Integrations
Kubernetes
Kubernetes
New Relic
New Relic
Slack
Slack
Grafana
Grafana
Cloud Foundry
Cloud Foundry
Jenkins
Jenkins
PagerDuty
PagerDuty
AppDynamics
AppDynamics
TeamCity
TeamCity
Jira
Jira
No integrations available

What are some alternatives to OverOps, Splunk?

Sentry

Sentry

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

Rollbar

Rollbar

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

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.

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