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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Jaeger vs Splunk

Jaeger vs Splunk

OverviewComparisonAlternatives

Overview

Splunk
Splunk
Stacks772
Followers1.0K
Votes20
Jaeger
Jaeger
Stacks342
Followers464
Votes25
GitHub Stars22.0K
Forks2.7K

Jaeger vs Splunk: What are the differences?

Key differences between Jaeger and Splunk

Jaeger and Splunk are both popular tools used for monitoring and troubleshooting applications. However, there are several key differences between the two:

  1. Architecture: Jaeger is a distributed tracing system that is designed specifically for monitoring microservices-based architectures. It provides end-to-end visibility into the latency and performance of individual requests across different services. On the other hand, Splunk is a more generic log management and analysis platform that can be used to monitor various types of systems and applications.

  2. Data Collection: Jaeger collects tracing data through the use of client libraries that are integrated into the code of the application. These libraries capture information about requests as they flow through different services. Splunk, on the other hand, collects log data from various sources, including logs generated by applications, operating systems, and network devices.

  3. Querying and Analysis: Jaeger provides a dedicated user interface that allows users to query and analyze traces. It provides powerful filtering and searching capabilities, allowing users to drill down into specific requests and identify performance bottlenecks. Splunk, on the other hand, provides a more general-purpose query language that can be used to search and analyze log data. It also offers various visualization options for presenting data in charts and graphs.

  4. Scalability: Jaeger is designed to scale horizontally, meaning that it can handle large volumes of tracing data by distributing the workload across multiple instances. Splunk, on the other hand, can also scale horizontally but requires additional infrastructure and configuration to handle large amounts of log data.

  5. Cost: Jaeger is an open-source tool and can be used free of cost. However, deploying and managing Jaeger at scale may require significant resources and expertise. Splunk, on the other hand, is a commercial product with licensing fees based on the volume of log data ingested. It also offers additional enterprise features and support options that may require additional costs.

  6. Integration: Jaeger provides integration options with other observability tools and frameworks commonly used in microservices environments, such as Kubernetes and Prometheus. Splunk, on the other hand, offers a wider range of integrations with various systems and technologies, including popular cloud platforms and security tools.

In summary, Jaeger is a specialized distributed tracing system designed for monitoring microservices-based architectures, while Splunk is a more generic log management and analysis platform that can be used for various types of systems. Jaeger is open-source and provides dedicated tracing capabilities, while Splunk is a commercial product with a wider range of integrations and features.

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Detailed Comparison

Splunk
Splunk
Jaeger
Jaeger

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

Jaeger, a Distributed Tracing System

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
GitHub Stars
-
GitHub Stars
22.0K
GitHub Forks
-
GitHub Forks
2.7K
Stacks
772
Stacks
342
Followers
1.0K
Followers
464
Votes
20
Votes
25
Pros & Cons
Pros
  • 3
    Alert system based on custom query results
  • 3
    API for searching logs, running reports
  • 2
    Ability to style search results into reports
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 2
    Dashboarding on any log contents
Cons
  • 1
    Splunk query language rich so lots to learn
Pros
  • 7
    Open Source
  • 7
    Easy to install
  • 6
    Feature Rich UI
  • 5
    CNCF Project
Integrations
No integrations available
Golang
Golang
Elasticsearch
Elasticsearch
Cassandra
Cassandra

What are some alternatives to Splunk, Jaeger?

Grafana

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.

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.

Kibana

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.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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.

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.

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.

Logstash

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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