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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Airflow

    Score8.8 out of 10
    N/AApache Airflow is an open source tool that can be used to programmatically author, schedule and monitor data pipelines using Python and SQL.N/A

    Oracle Warehouse Builder

    Score8.7 out of 10
    N/AOracle Warehouse Builder (OWB) is a data-warehousing centered data integration solution, from Oracle. It offers basic ETL functionality for building a simple data warehouse, as well as advanced ETL functionality supporting enterprise data integration projects, along with connectivity for Oracle and SAP applications.N/A
    Pricing
    Apache AirflowOracle Warehouse Builder
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Apache AirflowOracle Warehouse Builder
    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 AirflowOracle Warehouse Builder
    Considered Both Products
    Apache
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    12 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    12 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    12 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    9 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    12 Answers
    No answers on this topic
    Features
    Apache AirflowOracle Warehouse Builder
    Workload Automation
    Comparison of Workload Automation features of Apache Airflow and Oracle Warehouse Builder
    Feature
    Apache Airflow
    8.5
    12 Ratings
    3% above category average
    Oracle Warehouse Builder
    -
    Ratings
    Multi-platform scheduling9.212 Ratings00 Ratings
    Central monitoring8.712 Ratings00 Ratings
    Logging8.312 Ratings00 Ratings
    Alerts and notifications9.212 Ratings00 Ratings
    Analysis and visualization6.212 Ratings00 Ratings
    Application integration9.412 Ratings00 Ratings
    Data Source Connection
    Comparison of Data Source Connection features of Apache Airflow and Oracle Warehouse Builder
    Feature
    Apache Airflow
    -
    Ratings
    Oracle Warehouse Builder
    9.5
    5 Ratings
    13% above category average
    Connect to traditional data sources00 Ratings10.05 Ratings
    Connecto to Big Data and NoSQL00 Ratings9.02 Ratings
    Data Transformations
    Comparison of Data Transformations features of Apache Airflow and Oracle Warehouse Builder
    Feature
    Apache Airflow
    -
    Ratings
    Oracle Warehouse Builder
    10.0
    5 Ratings
    21% above category average
    Simple transformations00 Ratings10.05 Ratings
    Complex transformations00 Ratings10.04 Ratings
    Data Modeling
    Comparison of Data Modeling features of Apache Airflow and Oracle Warehouse Builder
    Feature
    Apache Airflow
    -
    Ratings
    Oracle Warehouse Builder
    8.2
    5 Ratings
    3% above category average
    Data model creation00 Ratings10.04 Ratings
    Metadata management00 Ratings6.04 Ratings
    Business rules and workflow00 Ratings9.04 Ratings
    Collaboration00 Ratings8.94 Ratings
    Testing and debugging00 Ratings7.04 Ratings
    Data Governance
    Comparison of Data Governance features of Apache Airflow and Oracle Warehouse Builder
    Feature
    Apache Airflow
    -
    Ratings
    Oracle Warehouse Builder
    8.0
    3 Ratings
    1% below category average
    Integration with data quality tools00 Ratings8.03 Ratings
    Integration with MDM tools00 Ratings8.02 Ratings
    Best Alternatives
    Apache AirflowOracle Warehouse Builder
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    Skyvia
    Score10 out of 10
    Medium-sized Companies
    JAMS
    Score7.9 out of 10
    IBM InfoSphere Information Server
    Score10 out of 10
    Enterprises
    Redwood RunMyJobs
    Score9.7 out of 10
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    Score8.3 out of 10
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    User Ratings
    Apache AirflowOracle Warehouse Builder
    Likelihood to Recommend
    8.9
    (12 ratings)
    8.0
    (5 ratings)
    Usability
    7.9
    (3 ratings)
    -
    (0 ratings)
    User Testimonials
    Apache AirflowOracle Warehouse Builder
    Likelihood to Recommend
    Apache
    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
    Read full review
    Oracle
    The best place for Oracle Warehouse Builder is at the business IT level. It's not suited for business-level users. They are easy confused. One way to reduce the confusion for the developers is to set up the workspaces based on the requirements that are discovered in design sessions. Once this is complete, the implementation of Oracle Warehouse Builder can take flight and be successful.
    Incentivized
    Read full review
    Pros
    Apache
    • 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
    Read full review
    Oracle
    • Easy transformation.
    • Easy implementation from Oracle to Oracle systems.
    • Ease of usage and easy to learn.
    • Starting component of metadata management.
    Incentivized
    Read full review
    Cons
    Apache
    • 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
    Read full review
    Oracle
    • What I noticed is that sometimes OWB doesn't generate the best SQL in the package especially when there are a high number of source tables in the ETL. It would be nice if ETL developers were allowed to update the generated packages in the database directly.
    • Another thing - moving OWB ETLs from one database to another one could be easier - for example it would be nice to just copy the generated packages from one database to the other one without doing the deployment of these ETLs through OWB.
    Incentivized
    Read full review
    Usability
    Apache
    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
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    Oracle
    No answers on this topic
    Alternatives Considered
    Apache
    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
    Read full review
    Oracle
    Ab>initio, IBM Datastage 8.0
    Incentivized
    Read full review
    Return on Investment
    Apache
    • 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
    Read full review
    Oracle
    • It improved understanding of ETL functions. Data is consistent. The speed is pretty good.
    Incentivized
    Read full review
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