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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Spark

    Score8.8 out of 10
    N/AApache Spark is an open-source, distributed cluster-computing framework designed for large-scale data processing, batch transformations, real-time Streaming Analytics, and machine learning workloads. The platform executes distributed memory-centric computations across heterogeneous storage layers using unified APIs in Python, Scala, Java, SQL, and R.N/A

    Control-M

    Score9.4 out of 10
    N/AControl-M from BMC is a platform for integrating, automating, and orchestrating application and data workflows in production across complex hybrid technology ecosystems. It provides deep operational capabilities, delivering speed, scale, security, and governance.

    $29,000

    per year

    Pricing
    Apache SparkControl-M
    Editions & Modules
    No answers on this topic
    On-Premise
    Contact Sales
    SaaS
    Starting at $29,000
    per year
    Offerings
    Pricing Offerings
    Apache SparkControl-M
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Apache SparkControl-M
    Considered Both Products
    Apache
    No answer on this topic
    BMC Software Inc.
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    11 Answers
    99%
    Would buy again
    138 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    11 Answers
    97%
    Delivers good value for the price
    108 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    11 Answers
    99%
    Happy with the feature set
    138 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    8 Answers
    97%
    Lived up to sales and marketing promises
    90 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    11 Answers
    95%
    Implementation went as expected
    112 Answers
    Features
    Apache SparkControl-M
    Workload Automation
    Comparison of Workload Automation features of Apache Spark and Control-M
    Feature
    Apache Spark
    -
    Ratings
    Control-M
    9.1
    181 Ratings
    9% above category average
    Multi-platform scheduling00 Ratings9.6178 Ratings
    Central monitoring00 Ratings9.4166 Ratings
    Logging00 Ratings8.7169 Ratings
    Alerts and notifications00 Ratings9.2170 Ratings
    Analysis and visualization00 Ratings8.8163 Ratings
    Application integration00 Ratings8.9164 Ratings
    Best Alternatives
    Apache SparkControl-M
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
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    Apache Airflow
    Score8.7 out of 10
    Enterprises
    No answers on this topic
    Redwood RunMyJobs
    Score9.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Apache SparkControl-M
    Likelihood to Recommend
    9.0
    (24 ratings)
    9.4
    (184 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    9.6
    (32 ratings)
    Usability
    8.0
    (4 ratings)
    9.2
    (141 ratings)
    Availability
    -
    (0 ratings)
    9.1
    (10 ratings)
    Performance
    -
    (0 ratings)
    8.7
    (10 ratings)
    Support Rating
    8.7
    (4 ratings)
    9.1
    (25 ratings)
    In-Person Training
    -
    (0 ratings)
    9.1
    (4 ratings)
    Online Training
    -
    (0 ratings)
    8.7
    (6 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.8
    (16 ratings)
    Configurability
    -
    (0 ratings)
    9.1
    (10 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    7.7
    (5 ratings)
    Ease of integration
    -
    (0 ratings)
    9.1
    (8 ratings)
    Product Scalability
    -
    (0 ratings)
    9.1
    (10 ratings)
    Professional Services
    -
    (0 ratings)
    8.8
    (7 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.7
    (10 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.8
    (9 ratings)
    User Testimonials
    Apache SparkControl-M
    Likelihood to Recommend
    Apache
    Well suited: To most of the local run of datasets and non-prod systems - scalability is not a problem at all. Including data from multiple types of data sources is an added advantage. MLlib is a decently nice built-in library that can be used for most of the ML tasks. Less appropriate: We had to work on a RecSys where the music dataset that we used was around 300+Gb in size. We faced memory-based issues. Few times we also got memory errors. Also the MLlib library does not have support for advanced analytics and deep-learning frameworks support. Understanding the internals of the working of Apache Spark for beginners is highly not possible.
    Incentivized
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    BMC Software Inc.
    Anytime you have a process that has to do multiple things, transfer data, interact with other systems, Control-M is critical. Not only does it provide the insight to what is going on, but it also lets you keep tight audit controls over access, reduces the need to spend large amounts of time tracking down issues, reduces the need to write custom "code" to do integrations with other systems and helps you better manage and track critical SLAs for workflows across the business.
    Incentivized
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    Pros
    Apache
    • Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
    • Faster in execution times compare to Hadoop and PIG Latin
    • Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
    • Interoperability between SQL and Scala / Python style of munging data
    Incentivized
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    BMC Software Inc.
    • The good thing is that there are so many connectors available. Control-M provides lots of features, and we are using almost 60 to 70% of them. Control-M is providing us with so much capability to use during our daily problem-solving.
    • Most of the job creation is very simple and quick and worked as per expectations.
    • Testing and debugging are also very easy, and you can test multiple scenarios using temporary changes during job runs.
    • Log and output presentations are also very good, short and detailed.
    • To monitor specific job net, we can create viewpoint, which can be use on daily basis.
    Incentivized
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    Cons
    Apache
    • Memory management. Very weak on that.
    • PySpark not as robust as scala with spark.
    • spark master HA is needed. Not as HA as it should be.
    • Locality should not be a necessity, but does help improvement. But would prefer no locality
    Incentivized
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    BMC Software Inc.
    • I haven't come across too many spots where I'm not happy with the product. Most of the shortfalls were in my knowledge of the product as opposed to the actual product. Currently we're having a little bit of an issue with the deployment of the software to the servers, but it's more of an "us" problem than a product problem. I can't really give any good examples of shortfalls of the product that I've found so far.
    Incentivized
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    Likelihood to Renew
    Apache
    Capacity of computing data in cluster and fast speed.
    Read full review
    BMC Software Inc.
    It is one of the best solutions on the market, in terms of innovation, reliability and stability. Control-M provides security when used by the largest companies in Mexico such as banks, department stores and logistics. It has proven to be able to integrate with new technologies on the market and provide almost 100% availability, thanks to its automatic FailOver scheme.
    Incentivized
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    Usability
    Apache
    If the team looking to use Apache Spark is not used to debug and tweak settings for jobs to ensure maximum optimizations, it can be frustrating. However, the documentation and the support of the community on the internet can help resolve most issues. Moreover, it is highly configurable and it integrates with different tools (eg: it can be used by dbt core), which increase the scenarios where it can be used
    Incentivized
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    BMC Software Inc.
    User experience is meeting my expectations. We had a manual checklist, which Control-M Reports has now replaced, that helped us check the jobs without any issues. So, being fair with the work, the ratings should also be fair. More to come as the AI progresses; this will not only help motivate the Control-M Developers but also lead to the development of advanced technology.
    Incentivized
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    Reliability and Availability
    Apache
    No answers on this topic
    BMC Software Inc.
    Secondary Instances: Control-M supports the installation of a secondary instance of the entire Control-M environment, Control-M/EM, or Control-M/Server.Automatic & Manual Failover: In case of a failure on the primary host, Control-M can automatically failover to the secondary host if using Oracle or MSSQL databases. Manual failover is also an option, enabling a controlled switch during planned maintenance.Fallback: After resolving the issue on the primary host, you can easily fall back to it, or even designate the secondary host as the new primary. Database Replication: For high availability, Control-M leverages database replication from the primary site to a disaster recovery site. While replication is essential, its implementation and maintenance are the user's responsibility.
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    Performance
    Apache
    No answers on this topic
    BMC Software Inc.
    good page load times, efficient report completion, and minimal impact on integrated systems. Specifically, the well-designed GUI contributes to a positive user experience, and the platform's ability to automate various stages of the workflow, including Big Data processes, is highlighted as a key strength. Fast Page Loads: Control-M is reported to have a responsive user interface with fast page load times, allowing users to quickly navigate and manage their workflows
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    Support Rating
    Apache
    1. It integrates very well with scala or python. 2. It's very easy to understand SQL interoperability. 3. Apache is way faster than the other competitive technologies. 4. The support from the Apache community is very huge for Spark. 5. Execution times are faster as compared to others. 6. There are a large number of forums available for Apache Spark. 7. The code availability for Apache Spark is simpler and easy to gain access to. 8. Many organizations use Apache Spark, so many solutions are available for existing applications.
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    BMC Software Inc.
    Support is generally excellent. Getting lower priority ones resolved can take a while, but it's rare for something to have to be dumped in the "unfixable" bin. If you end up speaking to Houston or Tel Aviv, then you know you've got a "live one".
    Incentivized
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    In-Person Training
    Apache
    No answers on this topic
    BMC Software Inc.
    Very knowledgeable instructors provide a hands-on, collaborative learning experience and can interact directly with instructors to develop our Control-M skills. This format allows for immediate feedback, in-depth discussions, and tailored guidance, leading to a deeper understanding of Control-M concepts and practical application. Face-to-face interaction fosters higher engagement and a more dynamic learning environment.
    Incentivized
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    Online Training
    Apache
    No answers on this topic
    BMC Software Inc.
    Simple and easy to use web based, well paced. Available any time. All online courses are simple and easy to access and use. Very practical everyday use scenarios and solutions. Incorporates software simulations, learning games, and built-in assessments to enhance comprehension and engagement. Online subscriptions are regularly updated with the latest product information, ensuring users have access to the most current knowledge.
    Incentivized
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    Implementation Rating
    Apache
    No answers on this topic
    BMC Software Inc.
    As HA we have depend on the external DB, why don't we have HA feasibility with embedded DB. As with external DB, there are performance issues and fine tuning the DB. As if its embedded DB, Control-M it self take care of the functionality.
    Incentivized
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    Alternatives Considered
    Apache
    Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
    Incentivized
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    BMC Software Inc.
    Control-M: Known for its comprehensive workload automation capabilities, handling complex job scheduling, dependency management, and IT process automation. TWS: Traditionally strong in Batch processing and job scheduling, focusing on high-performance computing environments. TIDEL: Offers a combination of workload automation and IT process management, often used in mainframe environments.AutoSys: Provides job scheduling and workflow management with a reputation for scalability and performance.
    Incentivized
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    Contract Terms and Pricing Model
    Apache
    No answers on this topic
    BMC Software Inc.
    While Control-M offers flexibility with usage-based and subscription-based pricing, some users might prefer more predictable, upfront costs, especially for large-scale deployments. A potential area for improvement could be offering more options for fixed-term contracts with predictable pricing based on factors like the number of agents or jobs, providing a clearer budget for long-term planning
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    Scalability
    Apache
    No answers on this topic
    BMC Software Inc.
    awesome product.Control-M delivers advanced operational capabilities easily consumed by Dev, Ops, data teams, and lines of business.Control-M Workflow InsightsApplication and data workflow observability: Increased confidence that SLAs are being met for Control-M users and IT leadersComprehensive control and management capabilities: Enhanced dashboards and reporting with constant telemetry and intelligent analysis on executing workflowsSelf-service visibility: In-depth reporting to help teams work autonomously
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    Professional Services
    Apache
    No answers on this topic
    BMC Software Inc.
    Strengths: The vendor provided strong post-sales support, timely issue resolution, and effective onboarding. Their technical team was knowledgeable and responsive, ensuring smooth integration and minimal disruption. Training resources and documentation were comprehensive. Areas for Improvement: While overall service was excellent, occasional delays in advanced customization or escalations slightly impacted timelines. More proactive optimization suggestions could further enhance value.
    Incentivized
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    Return on Investment
    Apache
    • Business leaders are able to take data driven decisions
    • Business users are able access to data in near real time now . Before using spark, they had to wait for at least 24 hours for data to be available
    • Business is able come up with new product ideas
    Incentivized
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    BMC Software Inc.
    • Since centralizing all our workflows in Control-M, we've cut end to end processing time by nearly 30%
    • Before Control-M we were babysitting scripts, manually rerunning failed jobs, and chasing ghost errors. With automated recovery, smart notifications, and fewer failures slipping through the cracks, we have saved 3 hours a day across teams
    • Our workflows success rate sits at 99.95% and when things do fail, they are pinpointed immediately
    Incentivized
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