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Databricks Data Intelligence Platform vs. PagerDuty

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    PagerDuty

    Score8.6 out of 10
    N/APagerDuty, Inc. (NYSE:PD) provides digital operations management. Serving organizations of all sizes, PagerDuty aims to help them deliver a perfect digital experience to their customers, every time.

    $25

    per month per user

    Pricing
    Databricks Data Intelligence PlatformPagerDuty
    Editions & Modules
    Standard
    $0.07
    Per DBU
    Premium
    $0.10
    Per DBU
    Enterprise
    $0.13
    Per DBU
    Professional
    $25
    per month per user
    Business
    $49
    per month per user
    Enterprise
    Contact Sales
    Offerings
    Pricing Offerings
    Databricks Data Intelligence PlatformPagerDuty
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Discount available for annual pricing.
    More Pricing Information
    Community Pulse
    Databricks Data Intelligence PlatformPagerDuty
    Considered Both Products
    Databricks
    No answer on this topic
    PagerDuty
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    16 Answers
    99%
    Would buy again
    158 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    16 Answers
    99%
    Delivers good value for the price
    134 Answers
    Happy with the feature set
    94%
    Happy with the feature set
    15 Answers
    96%
    Happy with the feature set
    153 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    99%
    Lived up to sales and marketing promises
    95 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    97%
    Implementation went as expected
    110 Answers
    Best Alternatives
    Databricks Data Intelligence PlatformPagerDuty
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    SAP Business Data Cloud
    Score8.6 out of 10
    No answers on this topic
    Enterprises
    SAP Business Data Cloud
    Score8.6 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Databricks Data Intelligence PlatformPagerDuty
    Likelihood to Recommend
    9.4
    (21 ratings)
    8.6
    (173 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.8
    (6 ratings)
    Usability
    9.7
    (7 ratings)
    7.3
    (5 ratings)
    Support Rating
    8.7
    (2 ratings)
    9.0
    (86 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.2
    (2 ratings)
    Contract Terms and Pricing Model
    8.0
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Databricks Data Intelligence PlatformPagerDuty
    Likelihood to Recommend
    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
    Read full review
    PagerDuty
    To be sincere, PagerDuty is a powerful, intelligent, and dependable on-call and incident management tool that provides amazing solutions to our company. Therefore, if someone is looking for reliability and accuracy in incident management, I will not hesitate to recommend PagerDuty. It is easy to use, and it will give you value for money.
    Read full review
    Pros
    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
    Read full review
    PagerDuty
    • PagerDuty sends the alerts set on high severity incidents on time and never misses any single instance.
    • PagerDuty help to send alert to mobile calls and Team channel for outage.
    • PagerDuty also resolves some of the high severity incidents as part of self healing mechanism.
    Incentivized
    Read full review
    Cons
    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
    Read full review
    PagerDuty
    • When I open PagerDuty the page does look a little cluttered or busy.
    • It would be nice to go to the page with clear and straightforward instructions on what I must address.
    • Ability to change the color background.
    • Add a timer and alarms for tasks that need completed.
    Incentivized
    Read full review
    Likelihood to Renew
    Databricks
    No answers on this topic
    PagerDuty
    They have been rock solid for us thus far and are not very expensive and to be honest no time to evaluate other software at this point.
    Incentivized
    Read full review
    Usability
    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
    Read full review
    PagerDuty
    The UI is more complex than I would like. Part of the challenge is that most users use PagerDuty infrequently; I don't remember how I changed a policy last time. Another part of the challenge is that some users expect alerting to be a trivial feature, and are reluctant to invest any time in reading the documentation.
    Incentivized
    Read full review
    Support Rating
    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.
    Read full review
    PagerDuty
    PagerDuty is reliable and easy to set up. It gives an effective way to notify the team about critical incidents which results in a faster turnaround time on issues. users can customize their alerts rules based on their preferences. Overall it's effective and easy to use which adds great business value.
    Incentivized
    Read full review
    Implementation Rating
    Databricks
    No answers on this topic
    PagerDuty
    When I setup notifications to PD thru the Python API I was impressed with the ease with which I could set up the software/service.
    Incentivized
    Read full review
    Alternatives Considered
    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
    Read full review
    PagerDuty
    OpsGenie was useful, mainly for teams already using Atlassian tools, and xMatters was good for handling team communication during incidents, but PagerDuty felt more complete for managing the full incident process in one place. We went with PagerDuty because it manages alerts, escalations, and on-call duties in a more organized and dependable way, which fits better with how our teams work daily.
    Read full review
    Return on Investment
    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
    Read full review
    PagerDuty
    • Allow our service to be available 24/7 with minimal downtime, improving customer experience
    • Monitor incidents and allow us to customize/schedule alert notifications, making engineers' jobs easier and preventing turnover
    • Prevent SEVs that could deteriorate, bring down our service, and cost us millions of dollars from loss in bookings
    Incentivized
    Read full review
    ScreenShots

    PagerDuty Screenshots

    Screenshot of Similar Incidents [Apple iPad], Open Incidents [iPhone 8], On-Call Schedule Menu [Apple Watch])Screenshot of the Machine Learning with Technical Service Dependencies, used to better understand related incidents.Screenshot of a glimpse of service health and team performance via PagerDuty’s Intelligent Dashboards.