Apache Airflow vs. Stitch from Talend

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Airflow
Score 8.4 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
Stitch from Talend
Score 7.1 out of 10
N/A
Stitch, or Stitch Data, now from Talend (acquired in late 2018) is an ETL tool for developers; the company was spun off from RJMetrics after that company's acquisition by Magento. Talend describes Stitch as a cloud-first, open source platform for rapidly moving data. It is available on a Free plan, and also a Standard and Enterprise plan which include more advanced features (e.g. an account manager, multiple data destinations, HIPAA compliance, advanced scheduling).N/A
Pricing
Apache AirflowStitch from Talend
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache AirflowStitch from Talend
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
Community Pulse
Apache AirflowStitch from Talend
Top Pros
Top Cons
Features
Apache AirflowStitch from Talend
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Apache Airflow
8.2
9 Ratings
0% below category average
Stitch from Talend
-
Ratings
Multi-platform scheduling8.89 Ratings00 Ratings
Central monitoring8.49 Ratings00 Ratings
Logging8.19 Ratings00 Ratings
Alerts and notifications7.99 Ratings00 Ratings
Analysis and visualization7.99 Ratings00 Ratings
Application integration8.49 Ratings00 Ratings
Best Alternatives
Apache AirflowStitch from Talend
Small Businesses

No answers on this topic

Skyvia
Skyvia
Score 9.8 out of 10
Medium-sized Companies
ActiveBatch Workload Automation
ActiveBatch Workload Automation
Score 8.3 out of 10
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.9 out of 10
Enterprises
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.3 out of 10
Control-M
Control-M
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache AirflowStitch from Talend
Likelihood to Recommend
7.3
(9 ratings)
6.0
(4 ratings)
User Testimonials
Apache AirflowStitch from Talend
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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Qlik
Stitch is very cheap and useful for small to medium size companies to ingest data from common apis/platforms in a quick and cheap way.
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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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Qlik
  • Easy integration with many sources
  • Extensible
  • Not as expensive as fivetran
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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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Qlik
  • Stitch is not good at replicating document stores like MongoDB to relational databases. To be fair, this is a difficult task. Stitch flattens the objects, but the result is unwieldy.
  • Stitch cannot replicate the same source to multiple sinks, which is inconvenient if you want to replicate some of a datastore's tables to Redshift and others to Redshift Spectrum, for instance.
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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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Qlik
Stitch from Talend is way more cost effective and has a business model that better aligns with our company. From what I can tell Stitch from Talend has a better customer support platform as well and has been very easy to work with when issues have come up. They also seem less pushy when it comes to sales.
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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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Qlik
  • Good ROI in terms of being able to monitor cost performance from Google, Facebook, etc.
  • Easy to have Salesforce data and Intercom data for dashboards.
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ScreenShots