Apache Airflow vs. Superblocks

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Airflow
Score 8.5 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
Superblocks
Score 9.3 out of 10
N/A
Superblocks is an IDE for internal tooling – a programmable set of building blocks for developers to create mission-critical internal operational software. The Superblocks Application Builder to assemble flexible components and connect to databases and APIs. Users can create REST, GraphQL, and gPRC endpoints call them programmatically from code or 3rd party web-hooks while Superblocks handles infrastructure.
$41
per month per creator
Pricing
Apache AirflowSuperblocks
Editions & Modules
No answers on this topic
Starter
$41
per month per creator
Pro
$70
per month per creator
Enterprise
$141
per month per creator
Offerings
Pricing Offerings
Apache AirflowSuperblocks
Free Trial
NoYes
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 AirflowSuperblocks
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Apache AirflowSuperblocks
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Apache Airflow
8.2
9 Ratings
0% above category average
Superblocks
-
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
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Apache Airflow
-
Ratings
Superblocks
8.3
2 Ratings
2% above category average
Ease of building user interfaces00 Ratings8.22 Ratings
Scalability00 Ratings9.52 Ratings
Platform management overhead00 Ratings9.82 Ratings
Workflow engine capability00 Ratings8.82 Ratings
Platform access control00 Ratings7.02 Ratings
Services-enabled integration00 Ratings6.52 Ratings
Development environment creation00 Ratings8.02 Ratings
Development environment replication00 Ratings8.32 Ratings
Issue monitoring and notification00 Ratings8.82 Ratings
Issue recovery00 Ratings8.02 Ratings
Upgrades and platform fixes00 Ratings9.02 Ratings
Best Alternatives
Apache AirflowSuperblocks
Small Businesses

No answers on this topic

AWS Elastic Beanstalk
AWS Elastic Beanstalk
Score 9.1 out of 10
Medium-sized Companies
ActiveBatch Workload Automation
ActiveBatch Workload Automation
Score 8.5 out of 10
IBM Cloud Private
IBM Cloud Private
Score 9.5 out of 10
Enterprises
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.4 out of 10
IBM Cloud Private
IBM Cloud Private
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache AirflowSuperblocks
Likelihood to Recommend
7.6
(9 ratings)
9.3
(2 ratings)
User Testimonials
Apache AirflowSuperblocks
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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Superblocks
Superblocks is great for building internal tools for your company. We have our finances running on Superblocks, our client services running on it, as well as a lot of internal tooling for our product. You can build full-apps using their API builder, Workflow builder, Scheduled Jobs, and UI builder. All without having to handle your own infrastructure. It's meant to be one extra abstraction layer on top of other developer infrastructure tools like AWS, Vercel, etc.
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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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Superblocks
  • Easy to use User Interface builder for building internal apps
  • Scheduled Jobs and Workflow builder in multiple languages
  • API builder for support your User Interface for your internal apps
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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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Superblocks
  • More flexibility on UI component designs
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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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Superblocks
Read full review
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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Superblocks
  • We've saved thousands of developer hours that would have otherwise spent on maintaining infrastructure
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ScreenShots