Apache Airflow vs. Cisco TrustSec vs. OpenText Operations Orchestration

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Airflow
Score 8.7 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.N/A
Cisco TrustSec
Score 5.0 out of 10
N/A
N/AN/A
OpenText Operations Orchestration
Score 10.0 out of 10
N/A
OpenText™ Operations Orchestration automates, integrates, and orchestrates any IT process, on cloud or off. Automations use low-code/no-code workflow authoring options. Integrations are done with an API-rich, extensible platform. Centrally orchestrates workflows.N/A
Pricing
Apache AirflowCisco TrustSecOpenText Operations Orchestration
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
Apache AirflowCisco TrustSecOpenText Operations Orchestration
Free Trial
NoNoNo
Free/Freemium Version
YesNoNo
Premium Consulting/Integration Services
NoNoNo
Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache AirflowCisco TrustSecOpenText Operations Orchestration
Considered Multiple Products
Apache Airflow
Chose Apache Airflow
Step functions are only available in AWS but Apache Airflow provides cross cloud access. Apache Airflow also provides flexibility to pause, start and re-trigger dags. Provides executors where we can run in-house calculations if needed and which requires no integration with …
Chose Apache Airflow
Apache Airflow is suited for a much wider set of use cases compared to Databricks. You can run it anywhere, and there is also no vendor lock-in. With Airflow, we can utilize almost any compute engine. Same thing we want to do with Databricks. There might be some level of …
Chose Apache Airflow
Multiple DAGs can be orchestrated simultaneously at varying times, and runs can be reproduced or replicated with relative ease. Overall, utilizing Apache Airflow is easier to use than other solutions now on the market. It is simple to integrate in Apache Airflow, and the …
Chose Apache Airflow
Using Jenkins and Kafka, it is not for the same purpose, although it might be similar. I would say AirFlow is really what it says on the can - workflow management. For our organisation, the purpose is clear. So long your aim is to have a rich workflow scheduler and job …
Chose Apache Airflow
Apache Airflow is far superior!
Chose Apache Airflow
Much easy to deploy Apache Airflow as opposed to other products, with flexible deployment options as well as flexible integration with other tools and platforms.
Chose Apache Airflow
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 …
Chose Apache Airflow
digdag (https://www.digdag.io/)- Digdag is a very simple build, run, schedule, and monitor complex pipelines of tasks with a simple implementation and no configuration. Easy to write YAMLs

Airflow has a better community and widely adopted. Has a better UI and better documentation
Chose Apache Airflow
Overall using Apache Airflow is easy to use compare than other other tools available in the market, It is easy to integrate in apache airflow and the workflow can be monitored and scheduling can be done easily using apache airflow, recommend this tool for Automating the data …
Chose Apache Airflow
Airflow was best suited in my use case for designing the ETL pipelines in a scripted manner for workflows & the UI was very good & easy to use.
Cisco TrustSec

No answer on this topic

OpenText Operations Orchestration
Chose OpenText Operations Orchestration
Most product works well enough, but none of them combine the non-agent/client approach to automation with an easy to develop mechanism (the drag&drop development approach) This alone put this solution on top of our preferred implantation product list
Features
Apache AirflowCisco TrustSecOpenText Operations Orchestration
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Apache Airflow
8.6
Ratings
4% above category average
Cisco TrustSec
-
Ratings
OpenText Operations Orchestration
9.5
Ratings
14% above category average
Multi-platform scheduling9.20 Ratings00 Ratings10.00 Ratings
Central monitoring8.80 Ratings00 Ratings10.00 Ratings
Logging8.40 Ratings00 Ratings8.00 Ratings
Alerts and notifications9.20 Ratings00 Ratings9.00 Ratings
Analysis and visualization6.50 Ratings00 Ratings10.00 Ratings
Application integration9.40 Ratings00 Ratings10.00 Ratings
Best Alternatives
Apache AirflowCisco TrustSecOpenText Operations Orchestration
Small Businesses

No answers on this topic

Armor
Armor
Score 6.0 out of 10

No answers on this topic

Medium-sized Companies
ActiveBatch Workload Automation
ActiveBatch Workload Automation
Score 7.5 out of 10
Druva Security Cloud
Druva Security Cloud
Score 9.4 out of 10
Apache Airflow
Apache Airflow
Score 8.7 out of 10
Enterprises
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.7 out of 10
Druva Security Cloud
Druva Security Cloud
Score 9.4 out of 10
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.7 out of 10
All AlternativesView all alternativesView all alternativesView all alternatives
User Ratings
Apache AirflowCisco TrustSecOpenText Operations Orchestration
Likelihood to Recommend
8.9
(0 ratings)
9.0
(0 ratings)
10.0
(0 ratings)
Usability
8.0
(0 ratings)
-
(0 ratings)
-
(0 ratings)
User Testimonials
Apache AirflowCisco TrustSecOpenText Operations Orchestration
Likelihood to Recommend
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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  • Control access to critical enterprise resources by business role, device type, and location, so policy changes can be made without redesigning the network.
  • Easily manage access control and segmentation while maintaining compliance.
  • Create and manage policies in an easy-to-use matrix.
  • Reduce the need for costly network re-architecture by automating firewall rules and access control list (ACL) administration.
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For our business, this system is really THE system. We use it for the management of almost all aspects of a member's account. I honestly cannot think of something that it cannot do.
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Pros
  • Apache Airflow is one of the best Orchestration platforms and a go-to scheduler for teams building a data platform or pipelines.
  • Apache Airflow supports multiple operators, such as the Databricks, Spark, and Python operators. All of these provide us with functionality to implement any business logic.
  • Apache Airflow is highly scalable, and we can run a large number of DAGs with ease. It provided HA and replication for workers. Maintaining airflow deployments is very easy, even for smaller teams, and we also get lots of metrics for observability.
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  • Reduce operational expenses by simplifying network segmentation and defining security groups based on business roles, not IP addresses.
  • Limit the impact of a data breach by quickly isolating and containing threats using technology already in your network.
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  • Allows for the quick disconnection of accounts that break our terms of service
  • Seamless integration with our billing system
  • Has the ability to house all member/client account information in one single location
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Cons
  • A local "dry run" or IDE plugin that can validate and simulate DAG execution without needing a full environment.
  • Better feedback on DAG parse errors in the UI or CLI.
  • Navigating large DAGs with hundreds of tasks can be slow and hard to understand visually.
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  • Help and solutions if needed, support
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  • The product build in portal need to be more flexible
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Usability
For its capability to connect with multicloud environments. Access Control management is something that we don't get in all the schedulers and orchestrators. But although it provides so many flexibility and options to due to python , some level of knowledge of python is needed to be able to build workflows.
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Alternatives Considered
Apache Airflow is suited for a much wider set of use cases compared to Databricks. You can run it anywhere, and there is also no vendor lock-in. With Airflow, we can utilize almost any compute engine. Same thing we want to do with Databricks. There might be some level of difficulty based on the support.
Read full review
No answers on this topic
Most product works well enough, but none of them combine the non-agent/client approach to automation with an easy to develop mechanism (the drag&drop development approach) This alone put this solution on top of our preferred implantation product list
Read full review
Return on Investment
  • Most of the ETL processes were automated, cutting down on human labor.
  • Apache Airflow's user interface (UI) was very informative and straightforward.
  • Since ETL processes were providing data via airflow, we were able to gain a deeper comprehension of the data at hand.
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  • Reduction in IT operational costs
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  • Product enabled reduce manpower and overall costs for most services implement.
  • The ROI is constantly being measured and evaluated by the product portal as time&money measurements
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ScreenShots