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Checkmarx vs. Databricks Data Intelligence Platform

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Checkmarx

    Score7.6 out of 10
    N/ACheckmarx, an Israeli headquartered company with US offices, provides a suite of application security software delivered via the Checkmarx Software Security Platform. Individual modules and capabilities include Checkmarx Static Application Security Testing, Checkmarx Software Composition Analysis, Checkmarx Interactive Application Security Testing (CxIAST)N/A

    Databricks Data Intelligence Platform

    Score9 out of 10
    N/ADatabricks offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service provides a platform for data pipelines, data lakes, and data platforms.

    $0.07

    Per DBU

    Pricing
    CheckmarxDatabricks Data Intelligence Platform
    Editions & Modules
    No answers on this topic
    Standard
    $0.07
    Per DBU
    Premium
    $0.10
    Per DBU
    Enterprise
    $0.13
    Per DBU
    Offerings
    Pricing Offerings
    CheckmarxDatabricks Data Intelligence Platform
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    CheckmarxDatabricks Data Intelligence Platform
    Considered Both Products
    Checkmarx
    No answer on this topic
    Databricks
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    16 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    16 Answers
    Happy with the feature set
    No answers on this topic
    94%
    Happy with the feature set
    15 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    No answers on this topic
    92%
    Implementation went as expected
    12 Answers
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    CheckmarxDatabricks Data Intelligence Platform
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    Score8.6 out of 10
    Enterprises
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    User Ratings
    CheckmarxDatabricks Data Intelligence Platform
    Likelihood to Recommend
    8.3
    (5 ratings)
    9.4
    (21 ratings)
    Usability
    7.7
    (2 ratings)
    9.7
    (7 ratings)
    Support Rating
    -
    (0 ratings)
    8.7
    (2 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.0
    (1 ratings)
    Professional Services
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    CheckmarxDatabricks Data Intelligence Platform
    Likelihood to Recommend
    Checkmarx
    If you are going with SAST process or want to improve overall security posture then go for it like integrating it with post deployment steps. If you are more concerned about proactive controls better choose other options such as pee-commit hooks and CI security. Also choose other tools for DAST and API scans.
    Incentivized
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    Databricks
    Medium to Large data throughput shops will benefit the most from Databricks Spark processing. Smaller use cases may find the barrier to entry a bit too high for casual use cases. Some of the overhead to kicking off a Spark compute job can actually lead to your workloads taking longer, but past a certain point the performance returns cannot be beat.
    Incentivized
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    Pros
    Checkmarx
    • Detects security vulnerabilities in source code with accuracy and detail.
    • Integrates seamlessly with CI/CD pipelines, IDEs, and repositories.
    • Provides clear reports and actionable fix recommendations for developers.
    Incentivized
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    Databricks
    • Process raw data in One Lake (S3) env to relational tables and views
    • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
    • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
    • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
    Incentivized
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    Cons
    Checkmarx
    • Scan duration
    • False positives
    • Integration with other tools like Jenkins comes with some inconveniences.
    Incentivized
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    Databricks
    • Sometimes, when multiple jobs depend on each other in different environments, it is not always easy to see the full workflow in one place.
    • It is sometimes difficult to determine which job or cluster contributes more to the overall cost.
    • For beginners, cluster configuration may be a little difficult. So more recommendation in the platform can help.
    Incentivized
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    Usability
    Checkmarx
    Their API based customizations which I leveraged to create an ASPM package, which is developer friendly and can extend above the dashboard features, other ones are UI which is great and feels clutter free. Menu and navigation is also good so as support. Only drawback is sometimes scan takes longer which I feel so can be reduced
    Incentivized
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    Databricks
    Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

    in terms of graph generation and interaction it could improve their UI and UX
    Incentivized
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    Support Rating
    Checkmarx
    No answers on this topic
    Databricks
    One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
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    Alternatives Considered
    Checkmarx
    Checkmarx is easier to integrate with development tools and gives quick feedback during coding, which is helpful for developers. Veracode is more focused on scanning and reporting for compliance, but it’s more complex to set up. We chose Checkmarx because it fits better into our development process, offering faster scans and more useful suggestions for fixing problems
    Incentivized
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    Databricks
    The most important differentiating factor for Databricks Lakehouse Platform from these other platforms is support for ACID transactions and the time travel feature. Also, native integration with managed MLflow is a plus. EMR, Cloudera, and Hortonworks are not as optimized when it comes to Spark Job Execution. Other platforms need to be self-managed, which is another huge hassle.
    Incentivized
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    Return on Investment
    Checkmarx
    • Improved ability to provide high level of IA confidence
    • Improved confidence in application-level security
    Incentivized
    Read full review
    Databricks
    • The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
    • DB has the ability to terminate/time out instances which helps manage cost.
    • The ability to quickly access typical hard to build data scenarios easily is a strength.
    Incentivized
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