Azure Service Bus vs StreamSets

Overview

Azure Service Bus

Stacks553

Followers536

Votes7

StreamSets

Stacks53

Followers133

Votes0

Azure Service Bus vs StreamSets: What are the differences?

Introduction: When comparing Azure Service Bus and StreamSets, it is important to understand the key differences between the two platforms to make an informed decision based on specific project requirements.

Service Bus Communication Capabilities: Azure Service Bus is a messaging service that supports communication between applications, enabling reliable and secure information exchange, while StreamSets is a data integration platform that focuses on efficiently moving and processing data between systems. The primary difference lies in their core functionality - one is focused on message-based communication, and the other on data movement and transformation.
Use Case Scenarios: Azure Service Bus is ideal for scenarios where reliable messaging and communication between applications is critical, such as financial transactions or order processing systems. On the other hand, StreamSets is better suited for scenarios requiring data ingestion, transformation, and movement across various data sources and destinations, like data warehouses or cloud storage services.
Integration Capabilities: Azure Service Bus seamlessly integrates with other Azure services and applications within the Microsoft ecosystem, providing a unified platform for building robust communication solutions. In contrast, StreamSets offers a wide range of connectors and integrations with various databases, messaging systems, and cloud platforms, allowing for flexible data movement and processing workflows.
Scalability and Performance: Azure Service Bus is designed for high availability and scalability, with features like partitioning and auto-scaling to handle large volumes of messages efficiently. On the other hand, StreamSets provides performance optimizations for data processing tasks, utilizing in-memory processing and parallel execution to enhance throughput and speed.
Monitoring and Management Tools: Azure Service Bus offers built-in monitoring and management tools within the Azure Portal for tracking message processing, managing queues, and configuring rules for message routing. Whereas, StreamSets provides a comprehensive monitoring dashboard and alerts system to track data flows, detect issues, and optimize performance in real-time.
Cost Considerations: Azure Service Bus follows a pay-as-you-go pricing model based on the number of messages and operations, making it suitable for varying workloads and budgets. In contrast, StreamSets offers both open-source and enterprise editions with pricing based on features and support requirements, catering to organizations of different sizes and needs.

In Summary, understanding the distinct features and capabilities of Azure Service Bus and StreamSets is crucial for selecting the right tool for effective communication and data integration solutions in diverse business environments.

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Advice on Azure Service Bus, StreamSets

André

Technology Manager at GS1 Portugal - Codipor

Jul 30, 2020

Needs adviceon

.NET Core

Hello dear developers, our company is starting a new project for a new Web App, and we are currently designing the Architecture (we will be using .NET Core). We want to embark on something new, so we are thinking about migrating from a monolithic perspective to a microservices perspective. We wish to containerize those microservices and make them independent from each other. Is it the best way for microservices to communicate with each other via ESB, or is there a new way of doing this? Maybe complementing with an API Gateway? Can you recommend something else different than the two tools I provided?

We want something good for Cost/Benefit; performance should be high too (but not the primary constraint).

Thank you very much in advance :)

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Detailed Comparison

Azure Service Bus	StreamSets
It is a cloud messaging system for connecting apps and devices across public and private clouds. You can depend on it when you need highly-reliable cloud messaging service between applications and services, even when one or more is offline.	An end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps.
-	Only StreamSets provides a single design experience for all design patterns (batch, streaming, CDC, ETL, ELT, and ML pipelines) for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.
Statistics
Stacks 553	Stacks 53
Followers 536	Followers 133
Votes 7	Votes 0
Pros & Cons
Pros 4 Easy Integration with .Net 2 Cloud Native 1 Use while high messaging need Cons 1 Skills can only be used in Azure - vendor lock-in 1 Limited features in Basic tier 1 Observability of messages in the queue is lacking 1 Lacking in JMS support	Cons 2 No user community 1 Crashes
Integrations
No integrations available	HBase Databricks Amazon Redshift MySQL gRPC Google BigQuery Amazon Kinesis Cassandra Hadoop Redis

What are some alternatives to Azure Service Bus, StreamSets?

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

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.

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Presto

Distributed SQL Query Engine for Big Data

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Related Comparisons

Azure Service Bus vs StreamSets: What are the differences?

Service Bus Communication Capabilities: Azure Service Bus is a messaging service that supports communication between applications, enabling reliable and secure information exchange, while StreamSets is a data integration platform that focuses on efficiently moving and processing data between systems. The primary difference lies in their core functionality - one is focused on message-based communication, and the other on data movement and transformation.
Use Case Scenarios: Azure Service Bus is ideal for scenarios where reliable messaging and communication between applications is critical, such as financial transactions or order processing systems. On the other hand, StreamSets is better suited for scenarios requiring data ingestion, transformation, and movement across various data sources and destinations, like data warehouses or cloud storage services.
Integration Capabilities: Azure Service Bus seamlessly integrates with other Azure services and applications within the Microsoft ecosystem, providing a unified platform for building robust communication solutions. In contrast, StreamSets offers a wide range of connectors and integrations with various databases, messaging systems, and cloud platforms, allowing for flexible data movement and processing workflows.
Scalability and Performance: Azure Service Bus is designed for high availability and scalability, with features like partitioning and auto-scaling to handle large volumes of messages efficiently. On the other hand, StreamSets provides performance optimizations for data processing tasks, utilizing in-memory processing and parallel execution to enhance throughput and speed.
Monitoring and Management Tools: Azure Service Bus offers built-in monitoring and management tools within the Azure Portal for tracking message processing, managing queues, and configuring rules for message routing. Whereas, StreamSets provides a comprehensive monitoring dashboard and alerts system to track data flows, detect issues, and optimize performance in real-time.
Cost Considerations: Azure Service Bus follows a pay-as-you-go pricing model based on the number of messages and operations, making it suitable for varying workloads and budgets. In contrast, StreamSets offers both open-source and enterprise editions with pricing based on features and support requirements, catering to organizations of different sizes and needs.

Azure Service Bus vs StreamSets

Overview