Software Alternatives & Reviews
Register | Login

Google Cloud Dataflow VS DecisionRules.io

Compare Google Cloud Dataflow VS DecisionRules.io and see what are their differences

Qrvey
Embedded Analytics built exclusively for SaaS applications. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

DecisionRules.io logo 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.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • DecisionRules.io Landing page
    Landing page //
    2023-10-20

DecisionRules is designed to be your rules engine, making your day-to-day analyses and procedures easier, running your business more efficiently and smoothly. DecicionRules allows you to know what customers are eligible for certain products, which prices to apply under certain circumstances, and much more. It is a powerful tool that can make 100k decisions in a a minute via API.

Google Cloud Dataflow

Website
cloud.google.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

DecisionRules.io

Website
decisionrules.io
Pricing URL
Official DecisionRules.io Pricing
$ Details
freemium
Platforms
Web JavaScript REST API Java Node JS .Net PHP
Release Date
2021 January
Edit details

Google Cloud Dataflow features and specs

No features have been listed yet.

DecisionRules.io features and specs

  • Easy Versioning: Versioning and cloning of existing business rules. No GIT knowledge needed!
  • DevOps Compatible: The infrastructure is adapted for quick change of business rules and their easy deployment.
  • Seamless Integration: Ready made seamless integration thru SDKs, Sample Projects or REST API.
  • Secure & Scalable: Secure and Scalable cloud based solution at your fingertips.
  • Client App Or Backend Solution: Ready to handle both your frontend and backend systems integration.
  • Team Collaboration: Collaborative mode that allows multiple users to share/edit/view their rules.
  • Transparent Decisions: Allows you to design and maintain decision’s logic clearly outside your software systems hence reinforce transparency within your organization.
  • Decision Tables: Ready made solution for handling business rules of medium complexity.
  • Codeless Approach: Business users driven solution, maintainable without profound programming skills.
  • Import & Export Rules: Straightforward import and export of the rules definition into JSON format.
  • Organized Organization: Allows you to create a well organized and swiftly accessible repository of all business rules within your organization.
  • Low IT Costs: Secure and Scalable cloud based solution at your fingertips.

Google Cloud Dataflow videos

+ Add

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

DecisionRules.io videos

+ Add

DecisionRules the Innovative Business Rules Management System🚀

Category Popularity

0-100% (relative to Google Cloud Dataflow and DecisionRules.io)

Google Cloud Dataflow

DecisionRules.io

Big Data
100 100%
Big Data
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Data Dashboard
83 83%
Data Dashboard
17% 17
Data Warehousing
100 100%
Data Warehousing
0% 0

User comments

Share your experience with using Google Cloud Dataflow and DecisionRules.io. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Dataflow and DecisionRules.io

Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

DecisionRules.io Reviews

We have no reviews of DecisionRules.io yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google Cloud Dataflow seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago
View more

DecisionRules.io mentions (0)

We have not tracked any mentions of DecisionRules.io yet. Tracking of DecisionRules.io recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Dataflow and DecisionRules.io, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Experian PowerCurve - Experian PowerCurve is a customer lifecycle management and decision automation platform purpose-built for finance and marketing leaders.

Loading...