You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: data/blog/opentelemetry-vs-jaeger.mdx
+31-15Lines changed: 31 additions & 15 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -1,31 +1,36 @@
1
1
---
2
2
title: OpenTelemetry and Jaeger | Key Features & Differences [2025]
3
3
slug: opentelemetry-vs-jaeger
4
-
date: 2025-01-02
4
+
date: 2025-09-23
5
5
tags: [Tools Comparison, Jaeger]
6
6
authors: [ankit_anand]
7
7
description: OpenTelemetry is a broader, vendor-neutral framework for generating and collecting telemetry data (logs, metrics, traces), offering flexible backend integration. Jaeger, on the other hand, is focused on distributed tracing in microservices...
OpenTelemetry is a broader, vendor-neutral framework for generating and collecting telemetry data (logs, metrics, traces), offering flexible backend integration.
20
+
Jaeger, on the other hand, is focused on [distributed tracing](https://signoz.io/blog/distributed-tracing-in-microservices/) in microservices.
21
+
**Earlier Jaeger had its own SDKs based on OpenTracing APIs for instrumenting applications, but now Jaeger recommends using OpenTelemetry instrumentation and SDKs.**
17
22
18
23
19
-
OpenTelemetry is a broader, vendor-neutral framework for generating and collecting telemetry data (logs, metrics, traces), offering flexible backend integration. Jaeger, on the other hand, is focused on [distributed tracing](https://signoz.io/blog/distributed-tracing-in-microservices/) in microservices. Earlier Jaeger had its own SDKs based on OpenTracing APIs for instrumenting applications, but now Jaeger recommends using OpenTelemetry instrumentation and SDKs.
20
-
21
-
24
+
<Admonitiontype="warning">
25
+
The original Jaeger client SDKs (based on OpenTracing) are archived and no longer maintained. For any new
26
+
project, using the OpenTelemetry SDK is the only supported path for instrumenting your applications to send data to Jaeger.
Both OpenTelemetry and Jaeger are open-source projects incubated under Cloud Native Computing Foundation. OpenTelemetry and Jaeger enable application owners to set up monitoring and observability to measure application performance. But their solutions are meant for different problems. While OpenTelemetry helps generate telemetry data, Jaeger is a distributed tracing tool.
26
31
27
32
28
-
If you're in a hurry, here are some quick takeaways of OpenTelemetry vs Jaeger:
33
+
Here are some quick takeaways of OpenTelemetry vs Jaeger:
29
34
30
35
-**Scope and Functionality:**<br></br> OpenTelemetry is a comprehensive tool for generating and managing telemetry data (logs, metrics, traces) and is vendor-agnostic, while Jaeger specializes in distributed tracing in microservices environments.
31
36
@@ -41,10 +46,15 @@ Jaeger is an open-source tool focused on distributed tracing of requests in a mi
41
46
42
47
Before we deep-dive into differences of OpenTelemetry and Jaeger, let's have a brief overview of both projects.
43
48
44
-
> **What is Observability?**<br></br>
49
+
50
+
51
+
<Admonitiontype="info">
52
+
53
+
**What is Observability?**
45
54
In control theory, the term “observability” states that a system is observable if the internal states of the system can be determined by looking at its inputs and outputs.
46
55
For distributed software systems, observability means how well we are able to troubleshoot our systems for performance issues with collected data from the system.
47
-
>
56
+
57
+
</Admonition>
48
58
49
59
## What is OpenTelemetry?
50
60
@@ -71,10 +81,15 @@ A distributed tracing tool tracks user requests across services and gives a cent
71
81
72
82
Jaeger does not support logs and metrics.
73
83
74
-
It provides instrumentation libraries that were built on OpenTracing standards. The libraries cover popular programming languages like Go, Java, Node, Python, C++, and C#. For storing trace data, it supports two storage backends:
84
+
It provides instrumentation libraries that were built on OpenTracing standards. The libraries cover popular programming languages like Go, Java, Node, Python, C++, and C#.
85
+
For storing trace data, Jaeger has a pluggable architecture. It has long supported scalable backends like
86
+
*Cassandra and Elasticsearch*. More recently, Jaeger has also introduced experimental support for a simplified, built-in storage
87
+
option.
75
88
76
-
- Cassandra
77
-
- Elasticsearch
89
+
<Admonitiontype="info">
90
+
The in-memory storage is not intended for production workloads. It’s intended as a simple solution
91
+
to get started quickly and data will be lost once the process is gone.
92
+
</Admonition>
78
93
79
94
Jaeger provides a minimal UI to analyze the trace data captured.
80
95
@@ -130,9 +145,10 @@ OpenTelemetry is the future of instrumentation for cloud-native applications. It
130
145
131
146
Instrumenting every aspect of your application and infrastructure is the first critical step to keeping a check on application performance. OpenTelemetry can take care of the entire instrumentation layer as it supports multiple programming languages and technologies.
132
147
133
-
The next step is about choosing a backend analysis tool. Jaeger supports data formats of OpenTelemetry. But Jaeger is limited in terms of its UI and does only distributed tracing. For a robust monitoring and observability framework, you need a unified UI for both metricsand traces. And that's where [SigNoz](https://signoz.io/) is far [more suited](https://signoz.io/blog/jaeger-vs-signoz/) than Jaeger as a distributed tracing tool.
148
+
The next step is about choosing a backend analysis tool. Jaeger supports data formats of OpenTelemetry. But Jaeger is limited in terms of its UI and does only distributed tracing. For a robust monitoring and observability framework, you need a unified UI for both metrics, traces and logs. And that's where [SigNoz](https://signoz.io/) is far [more suited](https://signoz.io/blog/jaeger-vs-signoz/) than Jaeger as a distributed tracing tool.
134
149
135
-
SigNoz is a full-stack open-source application performance monitoring and observability tool which can be used in place of Jaeger. SigNoz is built to support OpenTelemetry natively. It also provides a fast OLAP database - ClickHouse as the storage backend.
150
+
SigNoz is a full-stack application performance monitoring and observability tool which can be used in place of Jaeger.
151
+
SigNoz is built to support OpenTelemetry natively. It also provides a fast OLAP database - ClickHouse as the storage backend.
136
152
137
153
It comes with out-of-box application metrics charts.
138
154
@@ -151,7 +167,7 @@ You can analyze tracing data with powerful filters. You can also analyze service
151
167
SigNoz also provides a rich visualization of tracing data with the help of [Flamegraphs and Gantt charts](https://signoz.io/blog/flamegraphs/). You can see exactly how a single event performed as part of an entire user request.
152
168
153
169
<figuredata-zoomablealign='center'>
154
-
<imgsrc="/img/blog/common/signoz_flamegraphs.webp"alt="Flamegraphs and Gantt charts in SigNoz dashbaord"/>
170
+
<imgsrc="/img/blog/2025/09/signoz-flamegraphs.webp"alt="Flamegraphs and Gantt charts in SigNoz dashbaord"/>
155
171
<figcaption><i>Flamegraphs and Gantt charts in SigNoz dashbaord</i></figcaption>
0 commit comments