StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. API Tools
  4. Remote Procedure Call
  5. Tars vs gRPC

Tars vs gRPC

OverviewComparisonAlternatives

Overview

gRPC
gRPC
Stacks2.4K
Followers1.4K
Votes64
GitHub Stars43.9K
Forks11.0K
Tars
Tars
Stacks6
Followers15
Votes0
GitHub Stars10.0K
Forks2.1K

Tars vs gRPC: What are the differences?

Key Differences between Tars and gRPC

Tars and gRPC are both high-performance, open-source remote procedure call (RPC) frameworks. While they share similarities in their goals of enabling communication between services in a microservices architecture, there are several key differences that set them apart.

1. Language Support: gRPC supports multiple programming languages including C++, Java, Python, Go, and more. In contrast, Tars primarily focuses on C++ and Java, making it more suitable for projects written in these languages.

2. Protocol: gRPC utilizes HTTP/2 as its underlying communication protocol, which provides features like multiplexing, full-duplex streaming, and flow control. On the other hand, Tars uses its custom binary protocol optimized for performance and efficiency.

3. Communication Model: gRPC primarily relies on synchronous communication, where clients block until they receive a response from the server. Meanwhile, Tars supports both synchronous and asynchronous communication models, giving developers more flexibility in choosing the right approach for their specific use cases.

4. Service Discovery: gRPC relies on external service discovery mechanisms such as DNS or Kubernetes to locate and connect to services. In contrast, Tars provides its own built-in service discovery system, simplifying the configuration and deployment process.

5. Load Balancing: gRPC offers a variety of load balancing algorithms, including round-robin, random, and weighted round-robin. Tars, on the other hand, supports multiple load balancing strategies such as round-robin, consistent hash, and random, allowing developers to choose the most appropriate one for their application.

6. Monitoring and Management: gRPC provides a rich set of monitoring and management features through its integration with tools like Prometheus and OpenTracing. Tars, on the other hand, includes its own monitoring and management capabilities, providing real-time metrics and insights into service performance.

In summary, Tars and gRPC differ in terms of language support, protocol, communication model, service discovery, load balancing, and monitoring/management capabilities. These differences make each framework suitable for specific use cases and enable developers to choose the one that best fits their project requirements.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

gRPC
gRPC
Tars
Tars

gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...

It is an open-source microservice platform. It contains a high-performance RPC framework and a service management platform. Based on Tars, you can develop a reliable microservice system efficiently. It is designed for high reliability, high performance, and efficient service management. By significantly reducing system operation work, developers can focus on business logic and meet fast changes of user requirements.

Simple service definition;Works across languages and platforms;Start quickly and scale;Works across languages and platforms;Bi-directional streaming and integrated auth
Microservices platform; Multiple programming languages supporting; High performance; Agile R&D; High Availability; Efficient Operation; Massive requests
Statistics
GitHub Stars
43.9K
GitHub Stars
10.0K
GitHub Forks
11.0K
GitHub Forks
2.1K
Stacks
2.4K
Stacks
6
Followers
1.4K
Followers
15
Votes
64
Votes
0
Pros & Cons
Pros
  • 25
    Higth performance
  • 15
    The future of API
  • 13
    Easy setup
  • 5
    Contract-based
  • 4
    Polyglot
No community feedback yet
Integrations
.NET
.NET
Swift
Swift
Java
Java
JavaScript
JavaScript
C++
C++
Kotlin
Kotlin
Node.js
Node.js
PHP
PHP
Golang
Golang
Java
Java
Linux
Linux
C++
C++
macOS
macOS

What are some alternatives to gRPC, Tars?

Istio

Istio

Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.

Azure Service Fabric

Azure Service Fabric

Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.

Moleculer

Moleculer

It is a fault tolerant framework. It has built-in load balancer, circuit breaker, retries, timeout and bulkhead features. It is open source and free of charge project.

Express Gateway

Express Gateway

A cloud-native microservices gateway completely configurable and extensible through JavaScript/Node.js built for ALL platforms and languages. Enterprise features are FREE thanks to the power of 3K+ ExpressJS battle hardened modules.

ArangoDB Foxx

ArangoDB Foxx

It is a JavaScript framework for writing data-centric HTTP microservices that run directly inside of ArangoDB.

Dapr

Dapr

It is a portable, event-driven runtime that makes it easy for developers to build resilient, stateless and stateful microservices that run on the cloud and edge and embraces the diversity of languages and developer frameworks.

Zuul

Zuul

It is the front door for all requests from devices and websites to the backend of the Netflix streaming application. As an edge service application, It is built to enable dynamic routing, monitoring, resiliency, and security. Routing is an integral part of a microservice architecture.

linkerd

linkerd

linkerd is an out-of-process network stack for microservices. It functions as a transparent RPC proxy, handling everything needed to make inter-service RPC safe and sane--including load-balancing, service discovery, instrumentation, and routing.

Jersey

Jersey

It is open source, production quality, framework for developing RESTful Web Services in Java that provides support for JAX-RS APIs and serves as a JAX-RS (JSR 311 & JSR 339) Reference Implementation. It provides it’s own API that extend the JAX-RS toolkit with additional features and utilities to further simplify RESTful service and client development.

Ocelot

Ocelot

It is aimed at people using .NET running a micro services / service oriented architecture that need a unified point of entry into their system. However it will work with anything that speaks HTTP and run on any platform that ASP.NET Core supports. It manipulates the HttpRequest object into a state specified by its configuration until it reaches a request builder middleware where it creates a HttpRequestMessage object which is used to make a request to a downstream service.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase