Apache Airflow vs. Tidal by Redwood

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Airflow
Score 8.5 out of 10
N/A
Apache Airflow is an open source tool that can be used to programmatically author, schedule and monitor data pipelines using Python and SQL. Created at Airbnb as an open-source project in 2014, Airflow was brought into the Apache Software Foundation’s Incubator Program 2016 and announced as Top-Level Apache Project in 2019. It is used as a data orchestration solution, with over 140 integrations and community support.N/A
Tidal by Redwood
Score 6.3 out of 10
N/A
Tidal Automation, from Redwood Software since the early 2023 acquisition, is an enterprise workload automation platform for automating and orchestrating cross-application, cross-platform workloads – in on-prem, cloud or hybrid environments – from one central point of control. Tidal is used to optimize mission-critical business processes, manage…N/A
Pricing
Apache AirflowTidal by Redwood
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache AirflowTidal by Redwood
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Apache AirflowTidal by Redwood
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Apache Airflow
8.2
9 Ratings
0% above category average
Tidal by Redwood
8.2
19 Ratings
0% above category average
Multi-platform scheduling8.89 Ratings8.616 Ratings
Central monitoring8.49 Ratings8.418 Ratings
Logging8.19 Ratings8.219 Ratings
Alerts and notifications7.99 Ratings8.419 Ratings
Analysis and visualization7.99 Ratings8.019 Ratings
Application integration8.49 Ratings7.818 Ratings
Best Alternatives
Apache AirflowTidal by Redwood
Small Businesses

No answers on this topic

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Medium-sized Companies
ActiveBatch Workload Automation
ActiveBatch Workload Automation
Score 8.2 out of 10
Apache Airflow
Apache Airflow
Score 8.5 out of 10
Enterprises
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.3 out of 10
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache AirflowTidal by Redwood
Likelihood to Recommend
7.2
(9 ratings)
7.9
(21 ratings)
Likelihood to Renew
-
(0 ratings)
2.0
(1 ratings)
User Testimonials
Apache AirflowTidal by Redwood
Likelihood to Recommend
Apache
For a quick job scanning of status and deep-diving into job issues, details, and flows, AirFlow does a good job. No fuss, no muss. The low learning curve as the UI is very straightforward, and navigating it will be familiar after spending some time using it. Our requirements are pretty simple. Job scheduler, workflows, and monitoring. The jobs we run are >100, but still is a lot to review and troubleshoot when jobs don't run. So when managing large jobs, AirFlow dated UI can be a bit of a drawback.
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Redwood Software
On coming to well suited experience while error handling and effortless recovery processes are crucial, Tidal performs exceptionally well. It can identify and fix automated issues, reducing downtime and interruptions. A smaller automation solution may be more cost-effective if a business primarily utilizes a single platform or uses a small number of applications that do not require complex integration.
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Pros
Apache
  • In charge of the ETL processes.
  • As there is no incoming or outgoing data, we may handle the scheduling of tasks as code and avoid the requirement for monitoring.
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Redwood Software
  • Tidal Automation allows us to automate and schedule/ perform various tasks in a easy and effective manner. It is highly interactive and effective allowing nearly 4k -5k jobs to run a day.
  • Tidal is designed to be easily shareable and collaborative allowing multiple users to work at a particular time making work effective.
  • Tidal allows us to ensure that every event which is triggered is exactly when it's supposed to be regardless of other activities which are going as well.
  • It is user-friendly to generate the reports required of a particular object and allows us to test the codes perfectly well before executing in live environment.
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Cons
Apache
  • they should bring in some time based scheduling too not only event based
  • they do not store the metadata due to which we are not able to analyze the workflows
  • they only support python as of now for scripted pipeline writing
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Redwood Software
  • Still a bit slow when navigating. If you close a job you have to wait a few seconds to open another one. Even when you made no changes.
  • When viewing a job and make no changes, the "ok" button changes the last modified date as if you made a change. No big deal, but wastes time when troubleshooting a problem and looking into what jobs were changed last.
  • You can see the parameters column in the "job activity", but not in "Job definitions".
  • Can't search the parameters field in the filter.
  • Changing a variable name does not change it on the job. It still works because Tidal Automation uses the ID number. It just causes confusion when you see a variable on a job and can't find the variable under "Variables". On top of that, Tidal Automation does not show the ID column under "Variables" making it even more difficult to find the variable.
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Likelihood to Renew
Apache
No answers on this topic
Redwood Software
We are on the fence. The increased pricing for renewals is staggering. With new automation options like Microsoft's Power Automate and Event Driven Ansible on the field, there are other options now available.
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Implementation Rating
Apache
No answers on this topic
Redwood Software
Having provided consulting services for years on Tidal by Redwood, I recommend going with a solutions partner or consultant to deploy it. I believe there are sizing and tuning guidelines that should be followed for environments of scale. I believe they are not critical when first lighting up the product, but if you are not aware of them you will encounter performance degradation after a few thousand job objects are added.
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Alternatives Considered
Apache
There are a number of reasons to choose Apache Airflow over other similar platforms- Integrations—ready-to-use operators allow you to integrate Airflow with cloud platforms (Google, AWS, Azure, etc) Apache Airflow helps with backups and other DevOps tasks, such as submitting a Spark job and storing the resulting data on a Hadoop cluster It has machine learning model training, such as triggering a Sage maker job.
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Redwood Software
1. Tidal is good at processing large volume pf data and is cost effective. 2. Tidal can automate the scheduling of production objects, ensure that materials are delivered on time 3. Tidal Process large volumes of data which cannot be done everyday by running codes/scripts manually which does it with ease when required.
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Return on Investment
Apache
  • A lot of helpful features out-of-the-box, such as the DAG visualizations and task trees
  • Allowed us to implement complex data pipelines easily and at a relatively low cost
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Redwood Software
  • Better decision-making and more process visibility are achieved through reporting and monitoring.
  • Lowered time frames and streamlined administration of the workflow.
  • Improved cost and resource allocation, especially in cloud contexts.
  • A decrease in manual errors and related expenditures.
  • Unusual problems that could occur during automation.
  • Possible difficulties shifting to a new automation tool.
  • The expense of beginning implementation and training.
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