Apache Airflow is an open source tool that can be used to programmatically author, schedule and monitor data pipelines using Python and SQL.
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Arcserve Backup
Score 7.4 out of 10
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Arcserve Backup is a storage management solution from Arcserve, formerly of CA Technologies before Arcserve's divestiture (July 2014). It utilizes magnetic tape storage backup as part of its storage management offering.
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Pricing
Apache Airflow
Arcserve Backup
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
Apache Airflow
Arcserve Backup
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Apache Airflow
Arcserve Backup
Features
Apache Airflow
Arcserve Backup
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Airflow is well-suited for data engineering pipelines, creating scheduled workflows, and working with various data sources. You can implement almost any kind of DAG for any use case using the different operators or enforce your operator using the Python operator with ease. The MLOps feature of Airflow can be enhanced to match MLFlow-like features, making Airflow the go-to solution for all workloads, from data science to data engineering.
Arcserve UDP is fully suited for small to large size environments that need complete data protection solutions with the ability to run the fastest backups, replications, instant VM and DR.
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.
UI/Dashboard can be updated to be customisable, and jobs summary in groups of errors/failures/success, instead of each job, so that a summary of errors can be used as a starting point for reviewing them.
Navigation - It's a bit dated. Could do with more modern web navigation UX. i.e. sidebars navigation instead of browser back/forward.
Again core functional reorg in terms of UX. Navigation can be improved for core functions as well, instead of discovery.
Arcserve UDP provides our organization lots of benefits and it is much more than a simple backup and restore solution. We use it for cross platform DR, storage agnostic replications, DR solution instead of VMware SRM and more.
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.
It basically covers all our required scenarios, including VMs, partitions, files or any other objects through NAS, SAN or DAS connections. It's easy to set up and utilize the features and functions. There are a few times that we needed to switch over for the RHA replications and UDP backups. For the RHN replication, there was a roughly 10 minutes downtime during the switchover. For the UDP, it works pretty well.
Arcserve Backup support is usually very good. Their chat is usually able to fix most general issues, but will escalate more in depth issues to technical engineers that call you back. Their product knowledge is really good and usually resolve issues promptly.
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 workflow can be monitored and scheduling can be done quickly using Apache Airflow. We advocate using this tool for automating the data pipeline or process.
We use Veeam Backup and Replication at our larger sites where Vmware Virtualization is being used and is our product of choice in this venue. When it comes to our smaller sites, nothing is more affordable and reliable than Arcserve Backup.
Impact Depends on number of workflows. If there are lot of workflows then it has a better usecase as the implementation is justified as it needs resources , dedicated VMs, Database that has a cost