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Azure Stream Analytics VS Higson.io

Compare Azure Stream Analytics VS Higson.io and see what are their differences

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Azure Stream Analytics logo Azure Stream Analytics

Azure Stream Analytics offers real-time stream processing in the cloud.

Higson.io logo Higson.io

Hyperon is a BRMS, that was created with very large decisions and hyper-performance in mind. It stands out with the concept of the business domain which organizes the whole configuration in easy to manage way.
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21
  • Higson.io Landing page
    Landing page //
    2022-02-05

It’s a hyper-efficient tool for managing business rules that enables business experts to fine-tune these rules in run-time without relying on IT support. Business rules can be quickly created or updated, without having to go through lengthy and expensive development cycles. During configuration in Hyperon, a developer may check how a user’s unpublished session will influence the app’s behavior by using dev_mode. Hyperon is compatible with any tech stack, including Java, .Net, and Python.

Azure Stream Analytics features and specs

No features have been listed yet.

Higson.io features and specs

  • Structure: Intuitive structure tree structure for your rules. Our structure corresponds with your business, so it’s super easy to navigate.
  • Performance: According to benchmark tests Hyperon proved to be 62 times faster than the leading open source business rules management system (BRMS)
  • Publish changes without deployment: The application using Hyperon is updated without the need for releasing a new version of the application.
  • Tester: Hyperon Studio provides testing module for parameters, functions and domain elements. It means that every change done by a user may be verified before publishing.
  • Versionning: You can connect multiple rules and create a coherent configuration of your rule set.
  • Decision table : The easy tounderstand matrix that matches input data with a decision. They look very trivial; however you can achieve complex configurations using them, which is their power - everybody can understand how to model decisions using them.
  • Functions: In some cases, you need to write more complex logic. In Hyperon, you can use Groovy language - very simple for simple logic, yet powerful. So powerful that You can ask your IT department for help implementing complex things that require loops and other complex techniques.

Azure Stream Analytics videos

+ Add

Azure Stream Analytics

More videos:

  • Review - Real-time Analytics with Azure Stream Analytics
  • Demo - Introduction to Azure Stream Analytics + Demo

Higson.io videos

+ Add

Higson - explainer video

Category Popularity

0-100% (relative to Azure Stream Analytics and Higson.io)

Azure Stream Analytics

Higson.io

Stream Processing
100 100%
Stream Processing
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Data Management
100 100%
Data Management
0% 0
Personalization
0 0%
Personalization
100% 100

User comments

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What are some alternatives?

When comparing Azure Stream Analytics and Higson.io, you can also consider the following products

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

DecisionRules.io - Business rule engine that lets you create and deploy business rules, while all your rules run in a secure and scalable cloud. Unlike other rule engines, you can create your first rule in 5 minutes and make 100k decisions in a minute via API.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Drools - Drools introduces the Business Logic integration Platform which provides a unified and integrated platform for Rules, Workflow and Event Processing.

PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time

OpenRules - OpenRules is a Business Rules and Decision Management platform, offering a solution for building, deploying, executing, and monitoring Business Rules and Decision trees.

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