EVAM Event Stream Processing (ESP) Platform vs Google Cloud Dataflow comparison

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Executive Summary

We performed a comparison between EVAM Event Stream Processing (ESP) Platform and Google Cloud Dataflow 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).
768,857 professionals have used our research since 2012.
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Pricing and Cost Advice
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  • "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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    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 »
    Ranking
    32nd
    out of 38 in Streaming Analytics
    Views
    100
    Comparisons
    73
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    7th
    out of 38 in Streaming Analytics
    Views
    4,813
    Comparisons
    3,977
    Reviews
    10
    Average Words per Review
    308
    Rating
    7.7
    Comparisons
    Also Known As
    Google Dataflow
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    EVAM
    Video Not Available
    Overview

    EVAM is a real-time Event Stream Processing (ESP) Platform having real-time data integration and streaming advanced analytics with Machine Learning/AI and Microservice enabled capabilities.

    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.
    Sample Customers
    NA
    Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Computer Software Company12%
    Retailer11%
    Manufacturing Company10%
    Company Size
    No Data Available
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise72%
    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.
    768,857 professionals have used our research since 2012.

    EVAM Event Stream Processing (ESP) Platform is ranked 32nd in Streaming Analytics while Google Cloud Dataflow is ranked 7th in Streaming Analytics with 10 reviews. EVAM Event Stream Processing (ESP) Platform is rated 0.0, while Google Cloud Dataflow is rated 7.8. On the other hand, the top reviewer of Google Cloud Dataflow writes "Easy to use for programmers, user-friendly, and scalable". EVAM Event Stream Processing (ESP) Platform is most compared with , whereas Google Cloud Dataflow is most compared with Databricks, Apache NiFi, Amazon MSK, Amazon Kinesis and Spring Cloud Data Flow.

    See our list of best Streaming Analytics vendors.

    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.