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Google Cloud Dataflow vs. SAS Event Stream Processing

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Google Cloud Dataflow

37 Reviews and Ratings

SAS Event Stream Processing

1 Reviews and Ratings

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud Dataflow

    Score9.1 out of 10
    		N/AGoogle offers Cloud Dataflow, a managed streaming analytics platform for real-time data insights, fraud detection, and other purposes.N/A

    SAS Event Stream Processing

    Score10 out of 10
    		N/ASAS Event Stream Processing is a real-time streaming data analytics platform supporting high throughput workflows and processes such as IoT, sensors, and other transactions.N/A
    Pricing
    Google Cloud DataflowSAS Event Stream Processing
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud DataflowSAS Event Stream Processing
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Features
    Google Cloud DataflowSAS Event Stream Processing
    Streaming Analytics
    Comparison of Streaming Analytics features of Google Cloud Dataflow and SAS Event Stream Processing
    Feature
    Google Cloud Dataflow
    7.3
    2 Ratings
    7% below category average
    SAS Event Stream Processing
    -
    Ratings
    Real-Time Data Analysis8.02 Ratings00 Ratings
    Visualization Dashboards5.01 Ratings00 Ratings
    Data Ingestion from Multiple Data Sources9.02 Ratings00 Ratings
    Low Latency9.02 Ratings00 Ratings
    Integrated Development Tools6.01 Ratings00 Ratings
    Data wrangling and preparation7.01 Ratings00 Ratings
    Linear Scale-Out8.02 Ratings00 Ratings
    Machine Learning Automation6.02 Ratings00 Ratings
    Data Enrichment8.02 Ratings00 Ratings
    Best Alternatives
    Google Cloud DataflowSAS Event Stream Processing
    Small Businesses
    Amazon Kinesis
    Score9.9 out of 10
    Amazon Kinesis
    Score9.9 out of 10
    Medium-sized Companies
    No answers on this topic
    No answers on this topic
    Enterprises
    Spotfire Streaming
    Score5 out of 10
    Spotfire Streaming
    Score5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud DataflowSAS Event Stream Processing
    Likelihood to Recommend
    9.0
    (2 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Cloud DataflowSAS Event Stream Processing
    Likelihood to Recommend
    Google
    It is best in cases where you have batch as well as streaming data. Also in some cases where you have batch data right now and in future you will get streaming data. In those cases Dataflow is very good. Also in cases where most of your infra is on GCP. It might not be good when you already are on AWS or Azure. And also you want in-depth control over security and management. Then you can directly use Apache beam over Dataflow.
    Incentivized
    Verified User
    Read full review
    SAS
    No answers on this topic
    Pros
    Google
    • Streaming, Real time work load
    • Batch processing
    • Auto scaling
    • flexible pricing
    Sathish Palanivel(He/Him)
    Cloud Architect
    Read full review
    SAS
    No answers on this topic
    Cons
    Google
    • More templates for Bigquery and App Engine. There is only limited options for templates so the things we use can limit.
    • I would like native connectors for Excel (XLSX) to reduce the need for custom wrappers in financial pipelines.
    • Debugging Google Cloud Dataflow using only logs in Cloud Logging can be overwhelming sometimes, and it’s not always obvious which specific element in the flow caused a failure. IT uses a lot of time.
    Incentivized
    Verified User
    Read full review
    SAS
    No answers on this topic
    Usability
    Google
    It really saved a lot of time and it's flexibility really can give you infra which is future-proof for most of the use cases may it be streaming or batch data. And with this you can avoid use of resource-heavy big data offerings.
    Incentivized
    Verified User
    Read full review
    SAS
    No answers on this topic
    Alternatives Considered
    Google
    Google Cloud Dataproc Cloud Datafusion
    Sathish Palanivel(He/Him)
    Cloud Architect
    Read full review
    SAS
    No answers on this topic
    Return on Investment
    Google
    • cost saving from managing our own data center for ETL servers
    • consumption based pricing
    • with auto scaling feature, we were able to expand components to support work load
    Sathish Palanivel(He/Him)
    Cloud Architect
    Read full review
    SAS
    No answers on this topic
    ScreenShots