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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Luigi's Box
Score 9.6 out of 10
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Luigi’s Box solutions understand customer behavior, and use data to provide better search results, recommend relevant products, and enhance the shopping experience to boost your e-commerce conversion rates and average order values. Search and Autocomplete Recommender Product Listing Shopping Assistant Analytics
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Pricing
Apache Airflow
Luigi's Box
Editions & Modules
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Offerings
Pricing Offerings
Apache Airflow
Luigi's Box
Free Trial
No
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Required
Additional Details
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More Pricing Information
Community Pulse
Apache Airflow
Luigi's Box
Features
Apache Airflow
Luigi's Box
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.
Luigi's Box is the perfect solution for sales platforms that have search engine problems on their site. Luigi's Box allows you to go to the next level and enable customers to find what they are looking for. With additional options to recommend and indicate substitutes and add-on products, it can work great as a sales-boosting element.
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.
Recognising synonyms and mis-spellings to still show our customers accurate and relevant search results.
Great analytics section showing trending searches and non-converting searches, aiding in future product development and our priorities for what products we want to show the customer.
The boost function which allows us to prioritise showing customers certain products over others, which improves conversions.
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.
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.
As I mentioned in the previous points, Luigis Box helped us to improve the overall services for our customers, whether in the area of product search, optimization of various processes, improvement of service quality, etc. Within our company, all of us who work with him are really satisfied with him. If we were to recommend the tool we use to other companies, Luigi's Box would be a clear choice for us :)
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.
The price is a lot better than Clerk, and the speed of integration is much simpler. Our IT team had so many issues intergating Clerk and the price kept on increasing. Whereas with Luigi's Box it was the exact opposite. Price is good for the system you receive and the integration is easy.
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