Apache Airflow vs. HVR

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Airflow
Score 8.6 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
HVR
Score 8.1 out of 10
N/A
HVR helps organizations plan, predict, and respond with the freshest data available. HVR’s real-time data replication solution aims to help them better serve their customers, reduce margins, resource plan, and ultimately improve their bottom line. Powered by log-based change data capture (CDC) technology, the vendor states HVR customers can achieve their business goals and meet stringent service-level agreements without the fear of overloading systems or data inaccuracies. They describe…N/A
Pricing
Apache AirflowHVR
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache AirflowHVR
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
Features
Apache AirflowHVR
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Apache Airflow
9.7
10 Ratings
16% above category average
HVR
-
Ratings
Multi-platform scheduling9.910 Ratings00 Ratings
Central monitoring9.910 Ratings00 Ratings
Logging9.810 Ratings00 Ratings
Alerts and notifications9.810 Ratings00 Ratings
Analysis and visualization9.810 Ratings00 Ratings
Application integration9.010 Ratings00 Ratings
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Apache AirflowHVR
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Score 8.1 out of 10
Cohesity
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Score 8.5 out of 10
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Score 9.3 out of 10
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User Ratings
Apache AirflowHVR
Likelihood to Recommend
9.0
(10 ratings)
8.0
(1 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
Apache AirflowHVR
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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Fivetran
HVR is a real-time replication tool, if you want to centralize your database to cloud in order to provide the best services to your clients or end-users then HVR plays a vital role. multiple sources such as on-premises and cloud databases need to be combined or out together on cloud for creating a centralized warehouse then HVR is very much useful as a replication tool. HVR is a very robust tool.
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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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Fivetran
  • Data replication from source to target system
  • Almost Realtime data refresh
  • CDC solution
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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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Fivetran
  • Connectivity with more source such as salesforce
  • Missing Enterprise manager
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Usability
Apache
Easy to learn Easy to use Robust workflow orchestration framework Good in dependent job management
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Fivetran
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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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Fivetran
HVR was cost-efficient to us compare to other tools also we had a demo with our data and found out that HVR's performance is much better when replicating data from SAP to Snowflake compare to any other tool. A huge volume of data can be handled very easily. Also, the connectivity with the number of sources to pull the data is very good and they are continuously adding more sources.
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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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Fivetran
  • Almost Real time data availability
  • Makes Reporting easy for BI team
  • Quick development saves human efforts
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