Apache Airflow vs. Workato

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.

Incentivized

Workato is brilliant to make separate applications work together without much effort or specialists being needed. When specific events on software A should trigger actions on B (or more) and you want that to happen without any development or big budgets, that's where Workato comes into play. It's a great help if you want tasks automated, communications flowing and data synced between different applications.

• 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.

Incentivized

• The Workato product interface is brilliantly thought through and designed. The learning curve for first timers is easy enough to get started and build useful things, and Workato really shines in their ability to handle complex triggers and interactions. Workato allows people to build software apps so much faster than by coding each functionality.
• Workato has fantastic documentation, making things accessible without any holes in the product. The product just works, never has any bugs, never lags, and just generally allows us to see and change exactly what we need to.
• Workato has an absolutely amazing support team. We tried the free version for a while, then realized it was the single most important software tool we have, and we upgraded. The support at the paid tier is A+, seriously the best from any company we've worked with. Feels more like a good friend then a support rep.

• 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.

Incentivized

• Customer support - responsive, but often not equipped to help efficiently identify root cause of issue. Need to improve escalation to technical resources and turnaround time
• Recipe organization and sharing. Can be challenging to copy recipes, or grab recipes from publicly available site. There are often dependencies and errors that have vague descriptions.

Incentivized

We need to develop Enterprise Application Integrations and Workato was not designed for this

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.

Incentivized

The sheer work Workato eliminates from people's daily jobs is simply a great contribution to people's productivity and a boost to capability. It actually strikes the balance between business and tech teams. It also reduces dependency on developers, and speeds up their delivery too. The only reason it's not a full 10/10 is for the price - it's a bit expensive for what we'd like, and their batch or high data volume processing can be improved.

They employ an extremely knowledgeable team of problem solvers. I've never had a disappointing interaction or one that has left me still searching for answers. I know that when I ask for help, they'll partner with me until we find a solution together

Incentivized

We discovered that we could not use Workato for our more complex, large enterprise integrations. It was useful for simple workflows that matched the prebuilt recipes.

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.

Incentivized

We already used Zapier, but since it doesn't support NetSuite we had to choose another automation platform. Now that we've been using Workato for a few months, we have plans to move the stuff we're going through Zapier to Workato. We set up a trial account with all the other platforms, and they were all more expensive and A LOT more complicated than Workato.

• 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
• Donot use it if you have very less usecases

Incentivized

• As business consultants, Workato has greatly improved our offerings to our clients as well as improved the time frame to implement automated workflows and integrations.
• For our clients, the return on investment is almost immediate. Once a Workato recipe is up and running (which can be done very fast), data is integrating, duplicate data entry and user errors are eliminated, and cross-company KPI metrics are easier to report than ever.