Apache Spark Streaming vs EVAM Event Stream Processing (ESP) Platform comparison

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Executive Summary

We performed a comparison between Apache Spark Streaming and EVAM Event Stream Processing (ESP) Platform 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
  • "People pay for Apache Spark Streaming as a service."
  • "I was using the open-source community version, which was self-hosted."
  • "On a scale from one to ten, where one is expensive, or not cost-effective, and ten is cheap, I rate the price a seven."
  • More Apache Spark Streaming Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows.
    Top Answer:In terms of improvement, the UI could be better. Additionally, Spark Streaming works well for various use cases, but improvements could be made for ultra-fast scenarios where seconds matter. While… more »
    Top Answer:As a data engineer, I use Apache Spark Streaming to process real-time data for web page analytics and integrate diverse data sources into centralized data warehouses.
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    Earn 20 points

    Ranking
    8th
    out of 38 in Streaming Analytics
    Views
    4,308
    Comparisons
    3,491
    Reviews
    6
    Average Words per Review
    473
    Rating
    8.2
    32nd
    out of 38 in Streaming Analytics
    Views
    100
    Comparisons
    73
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Spark Streaming
    Learn More
    EVAM
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    Overview

    Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.

    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.

    Sample Customers
    UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.
    NA
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company19%
    Comms Service Provider7%
    Manufacturing Company6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business60%
    Midsize Enterprise10%
    Large Enterprise30%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise11%
    Large Enterprise68%
    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.
    768,857 professionals have used our research since 2012.

    Apache Spark Streaming is ranked 8th in Streaming Analytics with 8 reviews while EVAM Event Stream Processing (ESP) Platform is ranked 32nd in Streaming Analytics. Apache Spark Streaming is rated 8.0, while EVAM Event Stream Processing (ESP) Platform is rated 0.0. The top reviewer of Apache Spark Streaming writes "Easy integration, beneficial auto-scaling, and good open-sourced support community". On the other hand, Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, Spring Cloud Data Flow, Confluent and Apache Pulsar, whereas EVAM Event Stream Processing (ESP) Platform is most compared with .

    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.