Alooma vs Apache Spark Streaming comparison

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4,523 views|3,689 comparisons
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
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Pricing and Cost Advice
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  • "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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    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.
    Ranking
    37th
    out of 38 in Streaming Analytics
    Views
    24
    Comparisons
    17
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    8th
    out of 38 in Streaming Analytics
    Views
    4,523
    Comparisons
    3,689
    Reviews
    6
    Average Words per Review
    473
    Rating
    8.2
    Comparisons
    Also Known As
    Alooma Platform
    Spark Streaming
    Learn More
    Overview

    Alooma enables data teams to have visibility and control. It brings data from your various data silos together to your data warehouse, all in real-time.

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

    Sample Customers
    Chatbooks, HotelTonight, InstaCart, Limebike, Nextel, OkCupid, Publicis, Sony, Strava, The New York Times, Vivint Solar
    UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company19%
    Comms Service Provider7%
    Manufacturing Company6%
    Company Size
    No Data Available
    REVIEWERS
    Small Business56%
    Midsize Enterprise11%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    Buyer's Guide
    Streaming Analytics
    March 2024
    Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Alooma is ranked 37th in Streaming Analytics while Apache Spark Streaming is ranked 8th in Streaming Analytics with 8 reviews. Alooma is rated 0.0, while Apache Spark Streaming is rated 8.0. On the other hand, the top reviewer of Apache Spark Streaming writes "Easy integration, beneficial auto-scaling, and good open-sourced support community". Alooma is most compared with , whereas Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, Spring Cloud Data Flow, Confluent and Apache Pulsar.

    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.