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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

    GitHub

    Score9.2 out of 10
    N/AGitHub is a platform that hosts public and private code and provides software development and collaboration tools. Features include version control, issue tracking, code review, team management, syntax highlighting, etc. Personal plans ($0-50), Organizational plans ($0-200), and Enterprise plans are available.

    $4

    per month per user

    Pricing
    Databricks Data Intelligence PlatformGitHub
    Editions & Modules
    Standard
    $0.07
    Per DBU
    Premium
    $0.10
    Per DBU
    Enterprise
    $0.13
    Per DBU
    Team
    $40
    per year per user
    Enterprise
    $210
    per year per user
    Offerings
    Pricing Offerings
    Databricks Data Intelligence PlatformGitHub
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Databricks Data Intelligence PlatformGitHub
    Considered Both Products
    Databricks
    No answer on this topic
    GitHub
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    16 Answers
    96%
    Would buy again
    47 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    16 Answers
    98%
    Delivers good value for the price
    46 Answers
    Happy with the feature set
    94%
    Happy with the feature set
    15 Answers
    98%
    Happy with the feature set
    48 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    95%
    Lived up to sales and marketing promises
    38 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    100%
    Implementation went as expected
    42 Answers
    Features
    Databricks Data Intelligence PlatformGitHub
    Version Control Software Features
    Comparison of Version Control Software Features features of Databricks Data Intelligence Platform and GitHub
    Feature
    Databricks Data Intelligence Platform
    -
    Ratings
    GitHub
    9.4
    10 Ratings
    7% above category average
    Branching and Merging00 Ratings9.710 Ratings
    Version History00 Ratings9.710 Ratings
    Version Control Collaboration Tools00 Ratings9.89 Ratings
    Pull Requests00 Ratings9.710 Ratings
    Code Review Tools00 Ratings8.89 Ratings
    Project Access Control00 Ratings9.210 Ratings
    Automated Testing Integration00 Ratings8.810 Ratings
    Issue Tracking Integration00 Ratings8.910 Ratings
    Branch Protection00 Ratings9.89 Ratings
    Best Alternatives
    Databricks Data Intelligence PlatformGitHub
    Small Businesses
    No answers on this topic
    Git
    Score10 out of 10
    Medium-sized Companies
    SAP Business Data Cloud
    Score8.6 out of 10
    Git
    Score10 out of 10
    Enterprises
    SAP Business Data Cloud
    Score8.6 out of 10
    Perforce P4
    Score7.5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Databricks Data Intelligence PlatformGitHub
    Likelihood to Recommend
    9.4
    (21 ratings)
    9.9
    (131 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (1 ratings)
    Usability
    9.7
    (7 ratings)
    9.4
    (10 ratings)
    Support Rating
    8.7
    (2 ratings)
    8.8
    (26 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 PlatformGitHub
    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
    GitHub
    GitHub is an easy to go tool when it comes to Version Controlling, CI/CD workflows, Integration with third party softwares. It's effective for any level of CI/CD implementation you would like to. Also the the cost of product is also very competitive and affordable. As of now GitHub lacks capabilities when it comes to detailed project management in comparison to tools like Jira, but overall its value for money.
    Incentivized
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    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
    GitHub
    • Version control: GitHub provides a powerful and flexible Git-based version control system that allows teams to track changes to their code over time, collaborate on code with others, and maintain a history of their work.
    • Code review: GitHub's pull request system enables teams to review code changes, discuss suggestions and merge changes in a central location. This makes it easier to catch bugs and ensure that code quality remains high.
    • Collaboration: GitHub provides a variety of collaboration tools to help teams work together effectively, including issue tracking, project management, and wikis.
    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
    GitHub
    • Not an easy tool for beginners. Prior command-line experience is expected to get started with GitHub efficiently.
    • Unlike other source control platforms GitHub is a little confusing. With no proper GUI tool its hard to understand the source code version/history.
    • Working with larger files can be tricky. For file sizes above 100MB, GitHub expects the developer to use different commands (lfs).
    • While using the web version of GitHub, it has some restrictions on the number of files that can be uploaded at once. Recommended action is to use the command-line utility to add and push files into the repository.
    Read full review
    Likelihood to Renew
    Databricks
    No answers on this topic
    GitHub
    GitHub's ease of use and continued investment into the Developer Experience have made it the de facto tool for our engineers to manage software changes. With new features that continue to come out, we have been able to consolidate several other SaaS solutions and reduce the number of tools required for each engineer to perform their job responsibilities.
    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
    GitHub
    GitHub is a clean and modern interface. The underlying integrations make it smooth to couple tasks, projects, pull requests and other business functions together. The insights and reporting is really strong and is getting better with every release. GitHub's PR tooling is strong for being web based, i do believe a better code editor would rival having to pull merge conflicts into local IDE.
    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
    GitHub
    There are a ton of resources and tutorials for GitHub online. The sheer number of people who use GitHub ensures that someone has the exact answer you are looking for. The docs on GitHub itself are very thorough as well. You will often find an official doc along with the hundreds of independent tutorials that answers your question, which is unusual for most online services.
    Incentivized
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    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
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    GitHub
    While I don't have very much experience with these 2 solutions, they're two of the most popular alternatives to GitHub. Bitbucket is from Atlassian, which may make sense for a team that is already using other Atlassian tools like Jira, Confluence, and Trello, as their integration will likely be much tighter. Gitlab on the other hand has a reputation as a very capable GitHub replacement with some features that are not available on GitHub like firewall tools.
    Incentivized
    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
    GitHub
    • Team collaboration significantly improved as everything is clearly logged and maintained.
    • Maintaining a good overview of items will be delivered wrt the roadmap for example.
    • Knowledge management and tracking. Over time a lot of tickets, issues and comments are logged. GitHub is a great asset to go back and review why x was y.
    Incentivized
    Read full review
    ScreenShots