Software Alternatives & Reviews

jBPM VS Google Cloud Dataflow

Compare jBPM VS Google Cloud Dataflow and see what are their differences

jBPM logo jBPM

jBPM is a flexible Business Process Management (BPM) Suite.

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.
  • jBPM Landing page
    Landing page //
    2022-09-14
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

jBPM

Categories
  • BPM
  • Automation
  • Workflow Automation
  • Project Management
Website jbpm.org
Details $

Google Cloud Dataflow

Categories
  • Big Data
  • Data Dashboard
  • Data Warehousing
  • Data Management
Website cloud.google.com
Details $-

jBPM videos

Building a cool dashboard super fast with jBPM business apps!

More videos:

  • Review - Approval of documents over email with jBPM
  • Review - App building using Forms, Reports and Inboxes with jBPM (4m short version)

Google Cloud Dataflow videos

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

Category Popularity

0-100% (relative to jBPM and Google Cloud Dataflow)
BPM
100 100%
0% 0
Big Data
0 0%
100% 100
Automation
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using jBPM and Google Cloud Dataflow. For example, how are they different and which one is better?
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Reviews

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

jBPM Reviews

12 of the Top-Rated Free and Open-Source BPM Software Solutions
Description: jBPM is a free, open-source BPM software and workflow engine that bridges the gap between business analysts and developers. The software can function as a standalone service or can be embedded in custom formats. With jBPM, users have access to a business application capable of modeling business goals, improving visibility, outlining complex business logic, and...
10 Best Open Source BPM Tools
jBPM has helped users to design their own business automation plans Reference of open source BPM for several years, jBPM has been integrated by many editors into their solutions.
20 Free Open Source BPM Software for Businesses in 2021
jBPM is a toolkit for building business applications to help automate business processes and decisions. jBPM provides various capabilities which simplifie business logic into reusable assets such as processes, cases, decision tables etc.

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

Social recommendations and mentions

Based on our record, Google Cloud Dataflow seems to be a lot more popular than jBPM. While we know about 14 links to Google Cloud Dataflow, we've tracked only 1 mention of jBPM. 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.

jBPM mentions (1)

  • Process and service and orchestrators.
    Https://jbpm.org, https://kogito.kie.org, and the other projects under the https://kie.org umbrella are also worth looking into. Jbpm is the grandfather of several of the Java based BPMN solutions if I'm not mistaken. Source: over 2 years ago

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: about 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
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What are some alternatives?

When comparing jBPM and Google Cloud Dataflow, you can also consider the following products

Camunda - The Universal Process Orchestrator

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

BonitaSoft - Bonita BPM is a BPM-based application platform that is designed to help users build highly...

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

Activiti - Activiti is a light-weight workflow and Business Process Management (BPM) Platform targeted at...

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