Google Cloud Dataflow vs StackStorm comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Google Cloud Dataflow and StackStorm based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: April 2024).
767,319 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "The price of the solution depends on many factors, such as how they pay for tools in the company and its size."
  • "Google Cloud is slightly cheaper than AWS."
  • "The tool is cheap."
  • "Google Cloud Dataflow is a cheap solution."
  • "The solution is cost-effective."
  • "On a scale from one to ten, where one is cheap, and ten is expensive, I rate Google Cloud Dataflow's pricing a four out of ten."
  • "On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a seven to eight out of ten."
  • "The solution is not very expensive."
  • More Google Cloud Dataflow Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The product's installation process is easy...The tool's maintenance part is somewhat easy.
    Top Answer:The authentication part of the product is an area of concern where improvements are required. For some common users, the solution's authentication part is difficult to use. The scalability of the… more »
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    Earn 20 points

    Ranking
    7th
    out of 38 in Streaming Analytics
    Views
    4,813
    Comparisons
    3,977
    Reviews
    10
    Average Words per Review
    308
    Rating
    7.7
    39th
    out of 51 in Workload Automation
    Views
    14
    Comparisons
    9
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Google Dataflow
    Learn More
    Overview
    Google Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.

    StackStorm is a powerful open-source automation platform that wires together all of your apps, services and workflows. It’s extendable, flexible, and built with love for DevOps and ChatOps.

    Sample Customers
    Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale
    Cisco, Netflix, NASA, Cybera
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Computer Software Company12%
    Retailer11%
    Manufacturing Company10%
    No Data Available
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise72%
    No Data Available
    Buyer's Guide
    Streaming Analytics
    April 2024
    Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
    767,319 professionals have used our research since 2012.

    Google Cloud Dataflow is ranked 7th in Streaming Analytics with 10 reviews while StackStorm is ranked 39th in Workload Automation. Google Cloud Dataflow is rated 7.8, while StackStorm is rated 0.0. The top reviewer of Google Cloud Dataflow writes "Easy to use for programmers, user-friendly, and scalable". On the other hand, Google Cloud Dataflow is most compared with Databricks, Apache NiFi, Amazon MSK, Amazon Kinesis and Spring Cloud Data Flow, whereas StackStorm is most compared with Apache NiFi.

    We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.