We performed a comparison between Apache Airflow and BIC Platform based on real PeerSpot user reviews.
Find out in this report how the two Business Process Management (BPM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Since the solution is programmatic, it allows users to define pipelines in code rather than drag and drop."
"I like the UI rework, it's much easier."
"The reason we went with Airflow is its DAG presentation, that shows the relationships among everything. It's more of a configuration-driven workflow."
"Development on Apache Airflow is really fast, and it's easy to use with the newer updates. Everything is in Python, so it's not hard to understand. They also have a graphical view, so if you are not a programmer and you are just an administrator, you can easily track everything and see if everything is working or not."
"Apache Airflow is useful for workflow automation, making it capable of automating pipelines, data pipelines, and data warehouse processes."
"This is a simple tool to automate using Python."
"We have been quite satisfied with the stability of the solution."
"Every feature in Apache Airflow is valuable. The number of operators and features I've used are mainly related to connectivity services and integrated services because I primarily work with GCP."
"This is low-cost and very user friendly. A variety of models are available depending on the needs of the customer."
"The central dictionary is a valuable feature."
"The product is easy to use."
"While this is a new product it has a mature feel from being built by a company with many years in the business."
"Apache Airflow could be improved with the addition of more frameworks."
"The solution could be improved by simplifying the integration process."
"Programmatically, it's very good, and it doesn't have any competitors, but you cannot develop anything in Airflow UI. You need to develop everything within the program. In the market, other tools have come up recently as competitors to Airflow, and they also give graphical programming options, whereas Airflow doesn't provide that feature currently. All the DAGs you want to build need to be coded in Python."
"I have some issues with the solution's communication."
"Adding more automated components in Apache Airflow for basic things like exporting the data would be helpful."
"There is a need for more features on experimental evolution steps."
"We cannot run real-time jobs in the solution."
"The documentation must be improved."
"As the product is very new, some minor features are still missing, but everything is there to handle day-to-day process modeling."
"The solution could improve its connectivity to other systems."
"The product needs improvement regarding the confidentiality of the domain information for the key administrator."
"There's an issue with the current manual that they're working on."
Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews while BIC Platform is ranked 28th in Business Process Management (BPM) with 4 reviews. Apache Airflow is rated 8.0, while BIC Platform is rated 8.2. The top reviewer of Apache Airflow writes "Enable seamless integration with various connectivity and integrated services, including BigQuery and Python operators ". On the other hand, the top reviewer of BIC Platform writes "Provides good stability, but they should add a feature for enterprise architecture". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, IBM Business Automation Workflow and AWS Step Functions, whereas BIC Platform is most compared with SAP Signavio Process Manager, ARIS BPA, Visio, Camunda and ADONIS. See our Apache Airflow vs. BIC Platform report.
See our list of best Business Process Management (BPM) vendors.
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