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  5. Dapr vs Tars

Dapr vs Tars

OverviewComparisonAlternatives

Overview

Dapr
Dapr
Stacks96
Followers336
Votes9
GitHub Stars25.2K
Forks2.0K
Tars
Tars
Stacks6
Followers15
Votes0
GitHub Stars10.0K
Forks2.1K

Dapr vs Tars: What are the differences?

# Introduction
Dapr and Tars are both open-source frameworks designed to simplify microservices development, but they differ in various aspects. Here are the key differences between Dapr and Tars. 

# 1. **Programming Language Support**: Dapr supports multiple programming languages like C#, Java, Python, and Go, while Tars focuses primarily on C++, with limited support for other languages like Java.

# 2. **Service Discovery Mechanism**: Dapr uses sidecar containers for service discovery, enabling microservices communication, whereas Tars relies on a centralized registry for service discovery.

# 3. **Community and Ecosystem**: Dapr has a larger community and a more extensive ecosystem of tools, libraries, and documentation, making it easier for developers to adopt and use, compared to the relatively smaller Tars community.

# 4. **State Management**: Dapr emphasizes state management through its state store component, offering stateful capabilities for microservices, whereas Tars focuses more on stateless communication patterns.

# 5. **Support for Functions**: Dapr provides built-in support for serverless functions using components like Azure Functions and AWS Lambda, which is not a core feature in Tars.

# 6. **Platform Integration**: Dapr integrates seamlessly with popular platforms like Kubernetes, Azure, and AWS, offering a more versatile platform-agnostic approach, while Tars is more tailored towards specific platforms like Linux-based environments.

In Summary, Dapr and Tars differ in programming language support, service discovery mechanism, community size, state management emphasis, support for functions, and platform integration.

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Detailed Comparison

Dapr
Dapr
Tars
Tars

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.

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.

Event-driven Pub-Sub system with pluggable providers and at-least-once semantics; Input and Output bindings with pluggable providers; State management with pluggable data stores; Consistent service-to-service discovery and invocation; Opt-in stateful models: Strong/Eventual consistency, First-write/Last-write wins; Cross platform Virtual Actors; Rate limiting; Built-in distributed tracing using Open Telemetry; Runs natively on Kubernetes using a dedicated Operator and CRDs; Supports all programming languages via HTTP and gRPC; Multi-Cloud, open components (bindings, pub-sub, state) from Azure, AWS, GCP; Runs anywhere - as a process or containerized; Lightweight (58MB binary, 4MB physical memory); Runs as a sidecar - removes the need for special SDKs or libraries; Dedicated CLI - developer friendly experience with easy debugging; Clients for Java, Dotnet, Go, Javascript and Python
Microservices platform; Multiple programming languages supporting; High performance; Agile R&D; High Availability; Efficient Operation; Massive requests
Statistics
GitHub Stars
25.2K
GitHub Stars
10.0K
GitHub Forks
2.0K
GitHub Forks
2.1K
Stacks
96
Stacks
6
Followers
336
Followers
15
Votes
9
Votes
0
Pros & Cons
Pros
  • 3
    Manage inter-service state
  • 2
    MTLS "for free"
  • 2
    Zipkin app tracing "for free"
  • 2
    App dashboard for rapid log overview
Cons
  • 1
    Additional overhead
No community feedback yet
Integrations
.NET Core
.NET Core
Java
Java
Python
Python
Microsoft Azure
Microsoft Azure
Kubernetes
Kubernetes
JavaScript
JavaScript
Google Cloud Platform
Google Cloud Platform
Golang
Golang
Node.js
Node.js
PHP
PHP
Golang
Golang
Java
Java
Linux
Linux
C++
C++
macOS
macOS

What are some alternatives to Dapr, Tars?

gRPC

gRPC

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...

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.

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.

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