Apache Spark Streaming vs Software AG Apama comparison

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Executive Summary

We performed a comparison between Apache Spark Streaming and Software AG Apama 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).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"As an open-source solution, using it is basically free.""Apache Spark Streaming's most valuable feature is near real-time analytics. The developers can build APIs easily for a code-steaming pipeline. The solutions have an ecosystem of integration with other stock services.""The solution is very stable and reliable.""It's the fastest solution on the market with low latency data on data transformations.""The solution is better than average and some of the valuable features include efficiency and stability.""Apache Spark Streaming was straightforward in terms of maintenance. It was actively developed, and migrating from an older to a newer version was quite simple.""Apache Spark Streaming has features like checkpointing and Streaming API that are useful.""Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows."

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"The most valuable feature of the solution is the ability that it provides its users to handle different kinds of rules."

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Cons
"It was resource-intensive, even for small-scale applications.""The solution itself could be easier to use.""We would like to have the ability to do arbitrary stateful functions in Python.""The cost and load-related optimizations are areas where the tool lacks and needs improvement.""In terms of improvement, the UI could be better.""There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused.""The service structure of Apache Spark Streaming can improve. There are a lot of issues with memory management and latency. There is no real-time analytics. We recommend it for the use cases where there is a five-second latency, but not for a millisecond, an IOT-based, or the detection anomaly-based. Flink as a service is much better.""The initial setup is quite complex."

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"The ease of development and maintenance should be enhanced, but it is difficult due to the use of the proprietary programming language in the product."

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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 →

  • "A commercial license is required to operate Software AG Apama."
  • More Software AG Apama 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.
    Top Answer:The most valuable feature of the solution is the ability that it provides its users to handle different kinds of rules.
    Top Answer:A commercial license is required to operate Software AG Apama.
    Top Answer:Software AG Apama should support offline scenarios as it may not always be possible to stay connected with the cloud. The solution should be deployed on an on-premises model, and it should be able to… more »
    Ranking
    8th
    out of 38 in Streaming Analytics
    Views
    4,523
    Comparisons
    3,689
    Reviews
    6
    Average Words per Review
    473
    Rating
    8.2
    16th
    out of 38 in Streaming Analytics
    Views
    186
    Comparisons
    121
    Reviews
    1
    Average Words per Review
    971
    Rating
    7.0
    Comparisons
    Also Known As
    Spark Streaming
    Progress Apama
    Learn More
    Overview

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

    Enables both sell-side and buy-side traders to leverage proprietary trading strategies.
    Sample Customers
    UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.
    Okasan Online Securities
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company19%
    Comms Service Provider7%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Computer Software Company29%
    Financial Services Firm18%
    Real Estate/Law Firm11%
    Comms Service Provider9%
    Company Size
    REVIEWERS
    Small Business56%
    Midsize Enterprise11%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business34%
    Midsize Enterprise5%
    Large Enterprise61%
    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.
    763,955 professionals have used our research since 2012.

    Apache Spark Streaming is ranked 8th in Streaming Analytics with 6 reviews while Software AG Apama is ranked 16th in Streaming Analytics with 1 review. Apache Spark Streaming is rated 8.0, while Software AG Apama is rated 7.0. The top reviewer of Apache Spark Streaming writes "Easy deployment as a cluster and good documentation". On the other hand, the top reviewer of Software AG Apama writes "A tool to send out promotional notifications that need to improve areas, like deployment and maintenance". Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, Spring Cloud Data Flow, Confluent and Apache Pulsar, whereas Software AG Apama is most compared with Apache Flink, Oracle BAM and TIBCO Streambase CEP.

    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.