Apache Spark Streaming vs Talend Data Streams comparison

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3,856 views|3,060 comparisons
90% willing to recommend
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397 views|371 comparisons
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Executive Summary

We performed a comparison between Apache Spark Streaming and Talend Data Streams based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: May 2024).
772,679 professionals have used our research since 2012.
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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
  • "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."
  • "Spark is an affordable solution, especially considering its open-source nature."
  • 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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    Ranking
    8th
    out of 39 in Streaming Analytics
    Views
    3,856
    Comparisons
    3,060
    Reviews
    6
    Average Words per Review
    452
    Rating
    8.2
    22nd
    out of 39 in Streaming Analytics
    Views
    397
    Comparisons
    371
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Spark Streaming
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    Overview

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

    Talend Data Streams makes streaming data ingestion and integration easier, faster, and more accessible. Plus, Talend Data Streams is built to run completely in the cloud, so no installation is required.
    Sample Customers
    UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.
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    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company19%
    Comms Service Provider6%
    Retailer5%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm15%
    Retailer12%
    Insurance Company12%
    Company Size
    REVIEWERS
    Small Business60%
    Midsize Enterprise10%
    Large Enterprise30%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise9%
    Large Enterprise78%
    Buyer's Guide
    Streaming Analytics
    May 2024
    Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Apache Spark Streaming is ranked 8th in Streaming Analytics with 9 reviews while Talend Data Streams is ranked 22nd in Streaming Analytics. Apache Spark Streaming is rated 8.0, while Talend Data Streams 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, Spring Cloud Data Flow, Azure Stream Analytics, Apache Pulsar and Confluent, whereas Talend Data Streams is most compared with Databricks, Google Cloud Dataflow and Apache Flink.

    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.