Apache Spark vs IBM Spectrum Computing vs SaltStack comparison

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Apache Logo
2,430 views|1,869 comparisons
89% willing to recommend
IBM Logo
214 views|190 comparisons
40% willing to recommend
SaltStack Logo
2,885 views|1,597 comparisons
94% willing to recommend
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Executive Summary

We performed a comparison between Apache Spark, IBM Spectrum Computing, and SaltStack based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: April 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
"I found the solution stable. We haven't had any problems with it.""Apache Spark can do large volume interactive data analysis.""It is highly scalable, allowing you to efficiently work with extensive datasets that might be problematic to handle using traditional tools that are memory-constrained.""This solution provides a clear and convenient syntax for our analytical tasks.""Its scalability and speed are very valuable. You can scale it a lot. It is a great technology for big data. It is definitely better than a lot of earlier warehouse or pipeline solutions, such as Informatica. Spark SQL is very compliant with normal SQL that we have been using over the years. This makes it easy to code in Spark. It is just like using normal SQL. You can use the APIs of Spark or you can directly write SQL code and run it. This is something that I feel is useful in Spark.""The features we find most valuable are the machine learning, data learning, and Spark Analytics.""The processing time is very much improved over the data warehouse solution that we were using.""The tool's most valuable feature is its speed and efficiency. It's much faster than other tools and excels in parallel data processing. Unlike tools like Python or JavaScript, which may struggle with parallel processing, it allows us to handle large volumes of data with more power easily."

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"Spectrum Computing's best features are its speed, robustness, and data processing and analysis.""The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers.""The most valuable feature is the backup capability.""This solution is working for both VTL and tape.""Easy to operate and use.""We are satisfied with the technical support, we have no issues."

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"It is a highly stable solution.""SaltStack has given us the ability to deal with systems at scale and rectify issues at scale.""The automation functionality has been most valuable. With a click of a button, we are able to automate provisioning, the build of new hardware and apply patches. These are all extremely important and differentiated tasks that can be automated in SaltStack.""I want to build automation that is intelligent, part of the fabric of our environment, and is somewhat self-sustaining. I think SaltStack can help me do this.""The product’s most valuable feature is its ability to provide environmental security.""We monitor the configurations against CIS standards. We run CIS benchmarks and maintain configurations with higher CIS values for each server.""The ability to programmatically describe the desired state of a single, or an entire fleet of servers, on-premises, and in a cloud environment."

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Cons
"Spark could be improved by adding support for other open-source storage layers than Delta Lake.""Stability in terms of API (things were difficult, when transitioning from RDD to DataFrames, then to DataSet).""The solution’s integration with other platforms should be improved.""Needs to provide an internal schedule to schedule spark jobs with monitoring capability.""When you want to extract data from your HDFS and other sources then it is kind of tricky because you have to connect with those sources.""Apache Spark's GUI and scalability could be improved.""It should support more programming languages.""I know there is always discussion about which language to write applications in and some people do love Scala. However, I don't like it."

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"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing.""Lack of sufficient documentation, particularly in Spanish.""We'd like to see some AI model training for machine learning.""We have not been able to use deduplication.""Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud.""This solution is no longer managing tapes correctly."

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"This solution could be integrated with more hardware for an improved offering.""A hardened set of tests would be much appreciated.""Web UI.""It is difficult to set up.""SaltStack's features are minimal.""Its configuration process could be better.""There is a little bit of pain when it comes to libraries and what is needed to run the product."

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Pricing and Cost Advice
  • "Since we are using the Apache Spark version, not the data bricks version, it is an Apache license version, the support and resolution of the bug are actually late or delayed. The Apache license is free."
  • "Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
  • "We are using the free version of the solution."
  • "Apache Spark is not too cheap. You have to pay for hardware and Cloudera licenses. Of course, there is a solution with open source without Cloudera."
  • "Apache Spark is an expensive solution."
  • "Spark is an open-source solution, so there are no licensing costs."
  • "On the cloud model can be expensive as it requires substantial resources for implementation, covering on-premises hardware, memory, and licensing."
  • "It is an open-source solution, it is free of charge."
  • More Apache Spark Pricing and Cost Advice →

  • "This solution is expensive."
  • "Spectrum Computing is one of the most expensive products on the market."
  • More IBM Spectrum Computing Pricing and Cost Advice →

  • "So much can be done with the Open Source side, and especially for smaller shops. I personally think the pricing for Enterprise is hard to justify."
  • "The pricing for this solution is roughly 20% lower than the competitive products in the market."
  • "The solution is free of cost."
  • "It is an open-source product."
  • "SaltStack is an open-source product."
  • More SaltStack Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:We use Spark to process data from different data sources.
    Top Answer:In data analysis, you need to take real-time data from different data sources. You need to process this in a subsecond… more »
    Top Answer:This solution is too expensive for a lot of our customers.
    Top Answer:The biggest problem is the lack of documentation in general, and documentation in Spanish, in particular.
    Top Answer:We monitor the configurations against CIS standards. We run CIS benchmarks and maintain configurations with higher CIS… more »
    Top Answer:SaltStack's features are minimal.
    Top Answer:We use SaltStack for configuration management, where we maintain configurations of 150 servers. It also helps with file… more »
    Ranking
    1st
    out of 22 in Hadoop
    Views
    2,430
    Comparisons
    1,869
    Reviews
    26
    Average Words per Review
    444
    Rating
    8.7
    7th
    out of 22 in Hadoop
    Views
    214
    Comparisons
    190
    Reviews
    1
    Average Words per Review
    240
    Rating
    9.0
    14th
    Views
    2,885
    Comparisons
    1,597
    Reviews
    4
    Average Words per Review
    225
    Rating
    7.8
    Comparisons
    Also Known As
    IBM Platform Computing
    Learn More
    IBM
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    Overview

    Spark provides programmers with an application programming interface centered on a data structure called the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. It was developed in response to limitations in the MapReduce cluster computing paradigm, which forces a particular linear dataflowstructure on distributed programs: MapReduce programs read input data from disk, map a function across the data, reduce the results of the map, and store reduction results on disk. Spark's RDDs function as a working set for distributed programs that offers a (deliberately) restricted form of distributed shared memory

    IBM Spectrum Computing uses intelligent workload and policy-driven resource management to optimize resources across the data center, on premises and in the cloud. Now up to 150X faster and scalable to over 160,000 cores, IBM provides you with the latest advances in software-defined infrastructure to help you unleash the power of your distributed mission-critical high performance computing (HPC), analytics and big data applications as well as a new generation open source frameworks such as Hadoop and Spark.

    SaltStack is an intelligent IT automation platform that can manage, secure, and optimize any infrastructure—on-prem, in the cloud, or at the edge. It’s built on a unique and powerful event-driven automation engine that detects events in any system and reacts intelligently to them, making it an extremely effective solution for managing large, complex environments. And with the newly launched SecOps offering, SaltStack can detect security vulnerabilities and non-compliant, mis-configured systems. As soon as an issue is detected, this powerful automation helps you and your team remediate it, keeping your infrastructure securely configured, compliant, and up-to-date.

    Sample Customers
    NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi Solutions
    London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
    IBM CloudTD BankScotiaBankLinkedIneBayLiberty MutualTargetHyattCyxteraNetAppFacebookLyft
    Top Industries
    REVIEWERS
    Computer Software Company30%
    Financial Services Firm15%
    University9%
    Marketing Services Firm6%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company13%
    Manufacturing Company7%
    Comms Service Provider6%
    VISITORS READING REVIEWS
    Comms Service Provider31%
    Media Company16%
    Financial Services Firm11%
    Computer Software Company10%
    REVIEWERS
    Computer Software Company46%
    Financial Services Firm15%
    Cloud Solution Provider8%
    Healthcare Company8%
    VISITORS READING REVIEWS
    Computer Software Company14%
    Financial Services Firm13%
    University8%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise18%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise18%
    Large Enterprise68%
    REVIEWERS
    Small Business40%
    Midsize Enterprise23%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise71%
    Buyer's Guide
    Hadoop
    April 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    769,479 professionals have used our research since 2012.