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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

    Dataiku

    Score8.6 out of 10
    N/AThe Dataiku platform unifies data work from analytics to Generative AI. It supports enterprise analytics with visual, cloud-based tooling for data preparation, visualization, and workflow automation.N/A
    Pricing
    Databricks Data Intelligence PlatformDataiku
    Editions & Modules
    Standard
    $0.07
    Per DBU
    Premium
    $0.10
    Per DBU
    Enterprise
    $0.13
    Per DBU
    Discover
    Contact sales team
    Business
    Contact sales team
    Enterprise
    Contact sales team
    Offerings
    Pricing Offerings
    Databricks Data Intelligence PlatformDataiku
    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 PlatformDataiku
    Considered Both Products
    Databricks
    No answer on this topic
    Dataiku
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    16 Answers
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    16 Answers
    No answers on this topic
    Happy with the feature set
    94%
    Happy with the feature set
    15 Answers
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    No answers on this topic
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    No answers on this topic
    Features
    Databricks Data Intelligence PlatformDataiku
    Platform Connectivity
    Comparison of Platform Connectivity features of Databricks Data Intelligence Platform and Dataiku
    Feature
    Databricks Data Intelligence Platform
    -
    Ratings
    Dataiku
    8.6
    5 Ratings
    3% above category average
    Connect to Multiple Data Sources00 Ratings8.05 Ratings
    Extend Existing Data Sources00 Ratings10.04 Ratings
    Automatic Data Format Detection00 Ratings10.05 Ratings
    MDM Integration00 Ratings6.52 Ratings
    Data Exploration
    Comparison of Data Exploration features of Databricks Data Intelligence Platform and Dataiku
    Feature
    Databricks Data Intelligence Platform
    -
    Ratings
    Dataiku
    10.0
    5 Ratings
    17% above category average
    Visualization00 Ratings10.05 Ratings
    Interactive Data Analysis00 Ratings10.05 Ratings
    Data Preparation
    Comparison of Data Preparation features of Databricks Data Intelligence Platform and Dataiku
    Feature
    Databricks Data Intelligence Platform
    -
    Ratings
    Dataiku
    9.5
    5 Ratings
    15% above category average
    Interactive Data Cleaning and Enrichment00 Ratings9.05 Ratings
    Data Transformations00 Ratings9.05 Ratings
    Data Encryption00 Ratings10.04 Ratings
    Built-in Processors00 Ratings10.04 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Databricks Data Intelligence Platform and Dataiku
    Feature
    Databricks Data Intelligence Platform
    -
    Ratings
    Dataiku
    8.5
    5 Ratings
    0% above category average
    Multiple Model Development Languages and Tools00 Ratings8.05 Ratings
    Automated Machine Learning00 Ratings8.05 Ratings
    Single platform for multiple model development00 Ratings8.05 Ratings
    Self-Service Model Delivery00 Ratings10.04 Ratings
    Model Deployment
    Comparison of Model Deployment features of Databricks Data Intelligence Platform and Dataiku
    Feature
    Databricks Data Intelligence Platform
    -
    Ratings
    Dataiku
    8.0
    5 Ratings
    6% below category average
    Flexible Model Publishing Options00 Ratings8.05 Ratings
    Security, Governance, and Cost Controls00 Ratings8.05 Ratings
    Best Alternatives
    Databricks Data Intelligence PlatformDataiku
    Small Businesses
    No answers on this topic
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    SAP Business Data Cloud
    Score8.6 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    SAP Business Data Cloud
    Score8.6 out of 10
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Databricks Data Intelligence PlatformDataiku
    Likelihood to Recommend
    9.4
    (21 ratings)
    10.0
    (4 ratings)
    Usability
    9.7
    (7 ratings)
    10.0
    (1 ratings)
    Support Rating
    8.7
    (2 ratings)
    9.4
    (3 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 PlatformDataiku
    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
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    Dataiku
    Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.
    Incentivized
    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
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    Dataiku
    • Allows users to collaborate and monitor individual tasks
    • Caters to both types of analysts, coders and non-coders, alike
    • Integrate graphs and plots with visualization tools such as Tableau
    Incentivized
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    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
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    Dataiku
    • The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
    • When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
    • Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.
    Incentivized
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    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
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    Dataiku
    The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level
    Incentivized
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    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
    Dataiku
    The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.
    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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    Dataiku
    Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.
    Incentivized
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    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
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    Dataiku
    • Customer satisfaction
    • Timely project delivery
    Incentivized
    Read full review
    ScreenShots